Applications of Computer Vision
Submission Date: 2021-09-30

Dear Colleagues,

Computer vision (CV) techniques are widely used by the practicing engineer to solve a whole range of real vision problems. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible, covering some practical application of CV methods in all branches of science and engineering. Submitted papers should report some novel aspect of CV use for a real-world engineering application and also validated using data sets. There is no restriction on the length of the papers. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.

The website of the SI is https://www.mdpi.com/journal/electronics/special_issues/Applications_CV

Focal points of the Special Issue include but are not limited to innovative applications of:

    Medical and biological imaging
    Industrial inspection
    Robotics
    Photo and video interpretation
    Image retrieval
    Video analysis and annotation
    Multimedia
    Sensors and more.

Dr. Eva Cernadas
Guest Editor

Special Issue on Recent Advances in Biometric Security in IoT Based on Machine Learning
Submission Date: 2022-05-31

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Biometric_Security_IoT_ML


Dear Colleagues,

Internet of Things (IoT) applications has been deployed in a wide variety of critical infrastructure and applications ranging from transportation, healthcare, and supply chain. While IoT brings a number of benefits including convenience and efficiency, it also introduces a number of emerging threats. With the emergence of the Internet-of-Things (IoT), there is a growing need for access control and data protection. Biometric-based authentication is promising for IoT due to its convenient nature and lower susceptibility to attacks. Additionally, machine learning and deep learning techniques are delivering a promising solution to biometric systems and to increase the accuracy and plays a decisive role for presentation attack detection.

The goal of this special issue is to solicit high quality contributions on: (i) investigating the usage of deep learning and biometric systems in the context of IoT applications; (ii) novel techniques in biometric deep fakes and digital data forensics, particularly by exploiting, but not limited to, deep learning approaches.

Prof. Dr. Nima Karimian
Prof. Dr. Tempestt Neal
Guest Editors

Special Issue on Advanced Intelligent Transportation Systems and Automated Vehicles in Smart Cities
Submission Date: 2022-05-31

Special Issue Website link: 
https://www.mdpi.com/journal/electronics/special_issues/Intelligent_Transportation_Automated_Vehicle


Dear Colleagues,

As the core of modern society, cities play an increasingly vital role through the rapid progress of urbanization and civilization. We are dreaming of smart cities that will provide a highly efficient, comfortable, economically sound, and quality life to everyone by integrating advanced technologies in transportation systems. The emerging intelligent transportation system (ITS) and automated vehicle technologies can revolutionize the way people commute in smart cities. With the help of an ITS, communities can decrease traffic congestion, improve energy distribution and even improve air quality. This Special Issue focuses on the most recent and relevant developments towards realizing such intelligent future transportation systems.

This Special Issue covers the most recent ITS techniques in various fields, such as big traffic data analysis, connected and autonomous vehicles, intelligent infrastructure, advanced traffic management and control, and smart transportation electrification. Both academic research and practical deployment of ITSs are welcomed. 

Dr. Yuankai Wu
Prof. Dr. Yi Lin
Dr. Yang Zhou
Guest Editors

Special Issue on Advanced Applications of Power Conversion Systems and Power Generation
Submission Date: 2022-05-31

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Power_Conversion_Generations


Dear Colleagues,

With increasing regulatory ambition (e.g., EU green deal) and voluntary (e.g., corporate) commitments for decarbonization, sustainability and low-carbon energy transition have become a major worldwide priority.

Building a renewable-based green power system would be critical to achieving low-carbon energy transition, due to the rapidly increasing electrification taking place across sectors (such as EVs, industrial heat pumps and buildings electric boilers). Power will become the new fuel powering all demand sectors directly or indirectly (e.g., electrolysis-based hydrogen production).

Given this context, this work aims to investigate the ecosystem of new power systems to accommodate high penetration of renewables and integrate distributed energy resources from micro-grids, focusing on how to improve the reliability, efficiency and economics for such a system through optimizing and developing new power electronics solutions.

This Special Issue intends to seek high-quality submissions that present emerging applications and recent breakthroughs in power conversion systems and power generation. The topics covered in this Special Issue include but are not limited to:

    Advanced power conversion systems and power generation for renewable energies (e.g., solar, wind, and hydrogen);
    Advanced power conversion systems and power generation for electric vehicles;
    Advanced power conversion systems and power generation for hydrogen fuel cell vehicles;
    Advanced power conversion systems for energy storage systems (ESSs);
    Advanced power conversion systems for biomedical applications;
    Advanced power conversion systems for smart DC and AC distribution systems;
    Advanced power conversion systems for smart microgrids;
    Advanced power conversion systems for electrical drives;
    Advanced power conversion systems for lighting systems.

Dr. Dong Liu
Prof. Dr. Zhe Chen
Dr. Xinan Zhang
Dr. Yanbo Wang
Guest Editors

Special Issue on Recent Advanced Technologies and Applications of Smart Computing and Cyber Security
Submission Date: 2022-05-31

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Smart_Computing_Cyber_Security


Dear Colleagues,

Today, smart computing has become a part of our daily life, where advanced computational methodologies and technologies both become too complex and sophisticated. Smart computing, combined with a technical approach, creates systems, applications, and new service implementations that meet the needs of societies and cover many different application areas, including big data and cloud services, artificial intelligence and machine learning, the Internet of Things, health, energy, transport systems, environment, industrial systems, information retrieval, and creativity. The explosive growth of smart computing and the various technological advancements create many scientific and engineering challenges that call for ingenious research efforts from both academia and industry. In all these areas, innovation requires both conceiving of new applications and services and improving the efficiency, reliability, and sustainability of existing ones. In the digital era, cybersecurity is a part of our day-to-day life to protect systems, networks, and programs from digital attacks. Innumerable organizations and companies frequently experience damage due to data breaches and the inability to execute their operations due to cyberattacks. Public services and research institutions are also constantly affected by the same issues. We are inviting submissions that explore the defensive tools and mechanisms that deal with cybersecurity and at the same time assess exposure to cyberattacks and that promote a tradeoff between security, costs, and usability that is more aligned with the public interest. Both theoretical and experimental studies are welcome, as well as case studies, papers dealing with the systematization of knowledge, and survey papers. This Special Issue is to bring together scholars, professors, researchers, engineers, and administrators resorting to state-of-the-art technologies and ideas to significantly improve the field of smart computing and cybersecurity, including but not limited to the following: 

    Smart computing;
    IoT applications in healthcare, wearables, smart cities, agriculture;
    Big data and cloud computing;
    Artificial intelligence and machine learning;
    Computational intelligence methodologies;
    Mobile and wireless security;
    Network security;
    cybersecurity data analytics;
    cybersecurity applications;
    Blockchain applications in cybersecurity.

Dr. Satyabrata Aich
Prof. Dr. Madhusanka Liyanage
Dr. Bruce Ndibanje
Guest Editors

Special Issue on Applications of Neural Networks for Speech and Language Processing
Submission Date: 2022-05-31

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Neural_Speech_Language_Processing


Dear Colleagues,

Speech and language processing are key elements for natural interaction with devices and services. Current deep-learning systems (e.g., end-to-end approaches) reveal and use intrinsic knowledge hidden in a record of human communication in acoustic, visual, or textual form. Advances in the research have blurred the line between algorithms and methods. Machine translation and speech recognition can apply a similar-looking neural network to transcribe the input data into comprehensible output. This convergence of methods brings new possibilities, but also new challenges. This Special Issue provides an opportunity to discuss the current applications, trends, and directions in the processing of human interaction using neural networks.

We welcome contributions reporting applications or enhancements of neural networks in the following areas (topics include, but are not limited to):

 • Speech processing, recognition, and synthesis:              

    Automatic speech recognition;              
    Text to speech synthesis;              
    Speaker recognition and verification;              
    Speech pre-processing and enhancement;              
    Paralinguistic and COVID-19 cough/speech processing.

• Natural language processing:              

    Language modeling and generation;              
    Multilingual and cross-lingual systems;              
    Dialog modeling;              
    Machine translation;              
    Machine comprehension and information retrieval.

• Multimodal processing:              

    Speech processing supported by biometrics;              
    Multimodal analysis of user behavior, including the exploration of relations between visual and acoustic speech features;              
    Personal traits detection and classification;              
    Paralinguistic effects;              
    Advances in dialogue systems and virtual assistants.

Dr. Daniel Hládek
Prof. Dr. Matúš Pleva
Prof. Dr. Piotr Szczuko
Dr. Andrej Zgank
Guest Editors

Special Issue on Advances in Data Mining and Machine Learning for Location Analytics
Submission Date: 2022-05-31

Special issue link: https://www.mdpi.com/journal/electronics/special_issues/location_analytics

Dear Colleagues,

Location information is becoming highly essential for many urban applications such as location-based services, smart routing, emergency response and urban planning. Location data types vary and have different characteristics.

This special issue will focus on the “analysis”, where special attention is given to innovative analysis, advances, methods and applications for location data mining and machine learning. The special Issue is open for contributions related but not limited to the following topics:

Location data management

Geographic information system for spatial and temporal data

Indoor location data analysis

Artificial intelligence for big geospatial data

Urban planning and data analysis

Emergency location technology

Urban and indoor location based service

Dr. Suining He
Dr. Bo Zhang
Dr. Qun Niu
Guest Editors

Special Issue on Recent Advances in Microelectronics Devices and Integrated Circuit
Submission Date: 2022-05-31

Dear Colleagues,

Computationally intelligent devices are becoming the mainstream due to the emerging technology around Artificial Intelligence, which is particularly deep-learning-driven. AI is everywhere now and accelerating all the technologies in microelectronics and related Integrated circuits, such as direct memory, processing unit, display/motor driver, sensor interface, parallel computing, etc. Cryptography is also triggering the fast growth of quantum computing devices and circuits. Advanced microelectronics and integrated circuits have enabled the long-waited practical implementation of Artificial Intelligence in a reasonable computation speed.

Accordingly, this Special Issue seeks to showcase research papers and review articles that focus on novel methodological developments in the field of advanced microelectronics and the design of the related integrated circuits. Work that explores how technologies can be incorporated with AI methods to identify novel design directions and improve devices, circuits, system performance, as well as processes is sought after. Additionally, research which identifies and evaluates the limitations of applying AI to certain problems and specific domains, in advanced microelectronics and integrated circuits, is also welcome.

Moreover, this SI is cooperated by the IEEE 14th International Symposium on Embedded Multicore/Manycore Systems-on-Chip: MCSoC 2021, it will be held in Singapore, 20–23 December 2021. Selected papers from MCSoC 2021 and all the external contributions in this field are welcome in this Special Issue.

For detailed information, please visit:
Special Issue: https://www.mdpi.com/journal/electronics/special_issues/microelectron_devices_integr_circuits
MCSoC 2021: https://www.mcsoc-forum.org/

Dr. Teo Tee Hui
Prof. Dr. I-Chyn Wey
Guest Editors

Special Issue on Metastructures and Antennas with Enhanced Properties for Modern Microwave and Millimeter-Wave Applications
Submission Date: 2022-05-31

Dear Colleagues, 

Recent advances in telecommunications demand higher data rates, spectral bandwidth, and lower latency. For that reason, higher frequency ranges are being explored leading to new challenges in design and manufacturing. Modern devices require better accuracy in fabrication, greater compactness, and improved efficiency. Metamaterials are artificial structures that allow tailoring the propagation, scattering, and radiation of electromagnetic waves and have emerged as a candidate to fulfill the aforementioned requirements. They have also been and are still being widely used in the microwave and antenna community for the realization of multiple functionalities, such as absorption, filtering, reconfigurability, scattering control and polarization handling.

The improvement of fabrication techniques during the last decade has allowed for the development of metastructures based on more complex designs. These new types of metastructures usually gain accuracy, exploit the third spatial dimension (3D devices) as well as the temporal dimension (4D devices) or comprise cells with exotic shapes. They are expected to guide a novel generation of devices for the functionalities mentioned above.

This Special Issue is focused on, but not limited to, the following topics:

1. Modern communication systems and devices for microwave and mm-wave frequencies;
2. Metamaterials and frequency selective surfaces (FSS) with enhanced properties. Inclusion of higher symmetries and temporal modulations;
3. Antennas: phased arrays, microwave lenses, leaky-wave antennas, etc.;
4. Novel manufacturing techniques such as additive manufacturing (3D printing and inkjet printing) and micromachining;
5. Analytical and computational methods applied to the analysis of antennas and periodic structures (MoM, equivalent circuits, mode matching, conformal transformations, etc.).

Keywords:
- Metamaterials
- FSS
- Antennas
- Plasmonics and topological materials
- Manufacturing techniques
- Analytical and computational methods
- Reconfigurable materials and components
- Printed electronics
- Higher symmetries

For further information, please visit：
https://www.mdpi.com/journal/electronics/special_issues/metastructures_antennas

Prof. Dr. Pablo Padilla de la Torre
Prof. Dr. Juan F. Valenzuela-Valdés
Dr. Carlos Molero Jiménez
Dr. Antonio Alex-Amor
Guest Editors

Special Issue on Electronic Systems with Dynamic Chaos: Design and Applications
Submission Date: 2022-06-01

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Electronic_Systems_Dynamic_Chaos


Dear Colleagues,

Dynamic chaos is a widespread nonlinear phenomenon that has long been recognized as an important area of scientific research. Such properties of chaotic signals, such as a high sensitivity to initial conditions, a continuous power spectrum, wideband or ultrawideband oscillations, and a narrow autocorrelation function, make such systems unique and draw attention to the widespread application of these properties.

Immediately after the discovery of dynamic chaos, great interest was shown in its implementation and application in electronic circuits and the related technologies.

Notable milestones in the development of this area were the Special Issues of the Proceedings of IEEE in 1987 and 2002 devoted to various aspects of the design and application of chaotic systems in electronics and information technology.

Over the past decade, a significant amount of work has been carried out to introduce technologies using dynamic chaos in various high-tech areas: electronics, optoelectronics and lasers, information technology and telecommunications, control theory, cryptography, robotics, etc.

The purpose of this issue is to highlight the current progress in the development and investigation of electronic circuits and systems with chaotic dynamics in electronic and information engineering and discuss the current trends and challenges in the use of such systems in various application areas. Finally, this Special Issue welcomes both original papers and review articles concerning different aspects of nonlinear dynamics, the design and investigation of nonlinear electronic circuits and systems and their applications in the wide-ranging area of modern information technologies and engineering.

The topics of interest include but are not limited:

    Nonlinear dynamics of electronic systems;
    Design of analog and digital chaotic circuits;
    Generation of chaotic signals;
    Integrated chaos generators;
    Memristor-based chaotic systems;
    Synchronization of chaotic systems;
    Chaotic communication systems;
    Chaotic radiolocation;
    Chaos theory in cryptography;
    Chaos control techniques;
    Nonlinear signal processing;
    Nonlinear dynamics on networks;
    Neuromorphic systems;
    Chaotic circuits for the IoT;
    Nonlinear circuits and systems with applications in AI.

Dr. Elena V. Efremova
Prof. Dr. Alexander S. Dmitriev
Dr. Stavros G. Stavrinides
Guest Editors

Special Issue on Washington Strategic Leadership Conference
Submission Date: 2022-06-12

Golden Center for Research and Innovation (GoldenCRI) invites participants to Washington strategic leadership conference holding in Washington, DC from June 12-14, 2022.
We publish American Journal of Strategic Leadership (AJSL) ISBN: 2373-8502.
Below are areas of interest for submission of papers:
– Leadership Organizational Change
– Business Management
– Business Marketing
– Strategic Leadership
– Organizational Management
– Institutional Leadership
– Computer Information Systems
– Science, Technology, Engineering, and Mathematics (STEM), and
– Other areas of Science and Business Management of interest

Special Issue on Recent Advanced Applications of UAV Flight Dynamics Modeling and Simulation
Submission Date: 2022-06-30

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/UAV_Dynamics_Modeling_Simulation


Dear Colleagues,

The rapid advancement, technology maturation, and reliability improvement in UAV systems have led to the recent widespread use of commercial drones in many industries. One of the key technology enablers is the use of UAV flight dynamics modeling and simulation tools that significantly reduce the cost and time taken for UAV development, deployment, and operation. With a rapid increase in demand for more complex UAV mission tasks, there is a strong need for advanced applications in the domain of UAV flight dynamics modeling and simulation to better support UAV design and development, operation training, and real-time prognostics.

This Special Issue seeks submissions on Recent Advanced Applications of UAV Flight Dynamics Modeling and Simulation. The topics of interest include but are not limited to:

    Applications in UAV training simulators and virtual or augmented reality flight testing;
    Applications in real-time prognostics, predictive maintenance, or Digital Twins;
    Applications in hardware-in-the-loop testing and validation, reliability testing, payload testing, or system safety assessment;
    Applications with data-driven, physics-based, or hybrid flight dynamics modeling and simulation.

Dr. Yew Chai PAW
Dr. Balint Vanek
Guest Editors

Special Issue on Recent Advances in Next-generation Wireless Communications and Networks
Submission Date: 2022-06-30

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Next_Generation_WCN


Dear Colleagues,

Wireless communications and networking are expected to continue their development over future generations due to the continuing explosive growth of mobile applications in terms of traffic amount and heterogeneity, with new user services including virtual reality (VR), augmented reality (AR), holographic telepresence, industry 4.0, and robotics that require massive user connectivity, support of heterogeneous data traffic, extremely high bandwidth efficiency, and ultralow latency. In order to fully support the aforementioned services and applications, next-generation wireless communications and networking have to be equipped with novel system designs and schemes throughout layers and components in the most effective manner possible. Moreover, recent advances in machine learning enable novel approaches to tackle challenges in next-generation wireless communications and networking, making it more efficient with lower operational expenses. However, fully satisfying its stringent requirements in practical communication scenarios is challenging, and there are still many important open research problems. This Special Issue seeks to explore system designs and schemes for next-generation wireless communications and networking and invites novel contributions from researchers and practitioners.

Prof. Dr. Ji-Hoon Yun
Prof. Dr. Katsuhiro Naito
Prof. Dr. Jae-Han Lim
Guest Editors

Special Issue on Recent Advances in MIMO and Array Antennas
Submission Date: 2022-06-30

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/MIMO_Array_Antennas


Dear Colleagues,

Modern communication devices need specialized components and equipment to operate at full efficiency. An antenna is a vital part of any wireless communication system, and it directly affects the efficiency and performance of the system. Due to the introduction of 5G and beyond 5G, traditional antenna designs are becoming outdated, and thus, a need for intelligent antenna systems has emerged. Multiple-antenna technologies have now outperformed single-antenna technologies. Multiple-antenna technologies include array antennas and multiple-input–multiple-output (MIMO) antennas. Array antennas have the capability to provide a high gain while maintaining a wide bandwidth, whereas MIMO antennas have the capability to provide more communication links within the same channel without the need for additional bandwidth or transmission power. Array and MIMO antennas are the most important types of antennas which are mandatory for achieving a high data rate multimedia communication through indoor wireless routers or simply on-the-go. The application of such antennas is not limited to cellular communication, and it includes many other areas, such as smart cars, e-health, autonomous vehicles, smart grids and implantable electronics, etc.

This Special Issue, titled “Recent Advances in Multiple-Input–Multiple-Output and Array Antennas”, focuses on publishing work on new MIMO and array antennas. The aim of this issue is to promote modern and novel antenna designs to meet the requirements of compact and high-performance wireless terminals. This issue focuses on applications that involve antennas for implantable and portable electronics. The topics of interest include but are not limited to:

    Antennas for millimeter wave communication;
    Antennas for 5G communication;
    Antennas for future 6G communication;
    Antennas for terahertz communication;
    Antennas for vehicle-to-vehicle communication;
    Antennas for autonomous cars;
    Antennas for implantable sensors;
    Antennas for biomedical applications;
    Antennas for 5G mobile handsets and other portable terminals;
    Adaptive beamforming antennas;
    Phased array antennas;
    Liquid antennas;
    Reconfigurable antennas

Dr. Sultan Shoaib
Dr. Masood Ur Rehman
Dr. Djuradj Budimir
Dr. Akram Alomainy
Guest Editors

Special Issue on Recent Advanced Applications of Bio-Integrated Electronics and Sensors
Submission Date: 2022-06-30

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Bio_Electronics_Sensors


Dear Colleagues,

The past decade has brought a significant increase in the capabilities of miniaturized, low power sensing technologies’ integration with the human body. Advancements in the power efficiency and computing architectures of small system-on-chip integrated circuits, miniaturization of sensing components, efficiency improvements in wireless communication hardware and protocols, and mechanical and material innovations towards electronics integration with the human body have combined to bring new opportunities for bio-integrated sensing systems.

The aim of this Special Issue is to highlight cutting-edge technology advancements and applications of the next generation of bio-integrated sensing. Example topics of interest include but are not limited to:

    Wearable sensing;
    New on-body sensing technologies or applications, including electrophysiological, physical, and biochemical sensing;
    Flexible and/or stretchable electronics integration with soft tissues;
    Wireless power and data transmission from wearable sensors;
    Techniques for fabrication of flexible and/or stretchable electronics, including high throughput techniques;
    Techniques for integrating rigid electronic components in flexible and/or stretchable systems;
    Techniques for wearable microfluidic systems.

Dr. R. Chad Webb
Prof. Dr. John A. Rogers
Prof. Dr. Cunjiang Yu
Guest Editors

Special Issue on Recent Advanced Applications of Virtual Industrial Informatics and Robotics
Submission Date: 2022-06-30

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Virtual_Industrial_Informatics_Robotics


Dear Colleagues,

We respectfully invite you to contribute original papers and/or review papers to the journal Electronics for the Special Issue entitled “Recent Advanced Applications of Virtual Industrial Informatics and Robotics”.

In recent years, efforts have been made to develop and transform the way industrial production works, by integrating digital technologies, leading to the new industrial revolution called Industry 4.0. In the new industrial age, technologies such as Artificial Intelligence (AI), Virtual/Augmented Reality (VR/AR), Internet of Things (IoT), automation, robotics, and much more have a significant role.

Industrial informatics, as a border field between informatics and manufacturing technologies, offers the possibility of developing complex systems for planning and controlling manufacturing systems. In addition, human-machine interaction and virtual technologies open up possibilities for improving industrial processes through collaboration between the human operator and automated systems or robots. Immersive technologies (e.g., VR) allow users to transcend into virtual environments, AR technologies facilitate the self-learning and training of human operators, while mobile robots are becoming more and more collaborative and able to work in teams with humans.

This Special Issue focuses on manufacturing technologies that include the use of modern methods, tools, and technologies aimed at using informatics, VR technologies, and robotic solutions to develop innovative applications that can bring more benefits to current industrial processes.

Dr. Răzvan Gabriel Boboc
Dr. Radu Godina
Dr. Albert Smalcerz
Prof. Dr. Dimitris Mourtzis
Guest Editors

Special Issue on Recent Applications of Object Detection, Tracking, and Abnormal Detection Based on AI
Submission Date: 2022-06-30

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Object_Detection_Tracking


Dear Colleagues,

Modern AI techniques have been dramatically developed in recent decades and widely applied in a variety of application areas, permeating every aspect of a person’s daily life. One important application area of modern AI techniques is object detection, tracking, and abnormal detection. A variety of signal processing and machine learning—especially deep learning—technologies have been developed for object detection and the tracking and detection of abnormalities based on different sensor modality recordings (including but not limited to vision sensors, acoustic sensors, accelerometers/gyroscope sensors, etc.) in different areas (such as healthcare, agriculture, robotics, energy, surveillance, and so on).

The main aim of this Special Issue is to seek high-quality submissions that highlight emerging applications and address recent breakthroughs in modern signal processing, machine learning, and deep learning techniques for object detection/tracking and abnormal detection. The topics of interest include but are not limited to:

    ML/DL algorithm development and applications for object detection/tracking and abnormal detection in healthcare/robotics/agriculture/surveillance/energy;
    Multimodal information fusion for object detection/tracking and abnormal detection;
    Signal processing algorithms for object tracking;
    Combining application specific domain knowledge and data-driven approaches for object detection/tracking and abnormal detection;
    Uncertainty estimations for object detection/tracking and abnormal detection algorithms;
    Multiple-sensor-based object detection/tracking and abnormal detection.

Dr. Miao Yu
Prof. Dr. Stefanos Kollias
Prof. Dr. Xujiong Ye
Guest Editors

Special Issue on Recent Advances in Complex Dynamical Systems via Intelligent Control Approach
Submission Date: 2022-06-30

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Complex_Dynamical_Control


Dear Colleagues,

Many realistic systems can be modeled using dynamical equations. Increasing system performance requirements need to deal with the increasingly complicated dynamical systems used to simulate reality in control system analysis and design. Nonlinearity, uncertainty, time delay, system singularity, stochastic effects, the presence of linkages, and other factors contribute to the complexity. Technological and control theory advancements have made it possible to analyze complicated dynamical systems. Complex systems research is becoming increasingly essential, providing an additional push for the development of novel approaches and abilities for complex control systems. It has been applied widely in many complex fields, for example in missile guidance systems, active vehicle suspension systems, automobile control systems, etc. Due to their theoretical and practical significance, complex dynamical systems have long been and will continue to be one of the most active research areas. Although there have been many interesting publications on complex dynamical systems in recent years, there remain many challenging open issues. This provides the motivation for this Special Issue.

One of the main goals of this Special Issue is to bring together the latest innovative knowledge, analysis, and modeling techniques of control problems in dynamical networks. We accept both original research and review articles, and papers must contain unique theory or design material. The Special Issue focuses on recent achievements and applications in the field of complex system control and analysis, with particular emphasis on how to solve various control and observer design problems for nonlinear and interconnected systems. The systems under consideration typically have at least two functions: nonlinearity, faults, time delays, disturbance/uncertainty, interconnections between subsystems, stochastic processes, system singularities, and comparisons between simulations and experiments. The Special Issue focuses on the results of theoretical research and practical applications, with a focus on new methodologies for analysis, design, synthesis, and/or applications. Interconnected/networked systems, variable structure control, singular system control, time delay systems, fuzzy control and impulsive control, robust observer design and parameter identification, fault detection and fault-tolerant control, analysis and control of stochastic systems, and applications of advanced control systems are among the topics covered in this Special Issue.

Prof. Dr. Nallappan Gunasekaran
Prof. Dr. R. Vadivel
Dr. Yongbao Wu
Dr. Bing Yan
Guest Editors

Special Issue on Advanced Device, Circuit, and Control Techniques for Energy Harvesting System Design
Submission Date: 2022-06-30

Dear Colleagues,

This Special Issue is proposed to encourage further research and development in energy harvesting systems. The energy harvesting systems need to be designed to meet the power requirement of the various applications such as wake-up radios, self-powered sensors, and solar power generation. The design of energy harvesting systems is quite challenging and requires a multidisciplinary design approach. This Special Issue welcomes the submission of original contributions for advanced device, circuit, and control techniques applied to energy harvesting system design.

The topics of interests include, but are not limited to the following:

 Power devices using Si and WBG technologies;
PV devices for high-efficiency energy harvesters;
High-efficiency transducers for harvesting energy;
Circuit design for high-efficient RF to DC conversion;
Power management circuits and energy storage elements;
Micro-inverters for solar power generation and distribution;
Power converters for energy harvesting and energy management;
Micro-controllers, FPGAs, and SoCs for energy harvesting systems;
Applications of digital control techniques to energy harvesting systems;
Design methodology and system configuration of energy harvesting systems.

https://www.mdpi.com/journal/electronics/special_issues/Energy_Harvesting_System

Prof. Dr. Woo-Young Choi
Guest Editor

Special Issue on Recent Developments and Emerging Trends in Power Systems and Smart Grids
Submission Date: 2022-06-30

Special issue link: https://www.mdpi.com/journal/electronics/special_issues/Power_Grids

Dear Colleagues,

Power systems is one of the major engineering accomplishments. Existing power systems as well as the smart grids utilize a number of advanced computing, networking and measurement technologies. As these technologies become more populated, power systems and smart grids are rapidly growing in scale, interconnectivity, and complexity. Driven by these facts, it is apparent that the power sector faces important operating challenges in the next years. The objective of this Special Issue is to identify, address, and disseminate state-of-the-art research focusing on recent developments and emerging trends in power systems and smart grids. Submitted works should be original research papers and reviews with a substantial novel contribution towards the scope. 

The topics covered by the issue include (but are not limited to):

    Recent Developments and Emerging Trends in Distribution systems,
    Recent Developments and Emerging Trends in High Voltage,
    Recent Developments and Emerging Trends in Microgrids,
    Recent Developments and Emerging Trends in Power system control,
    Recent Developments and Emerging Trends in Power system monitoring,
    Recent Developments and Emerging Trends in Power system optimization,
    Recent Developments and Emerging Trends in Power system protection,
    Recent Developments and Emerging Trends in Transmission systems,
    Recent Developments and Emerging Trends in Smart grid cybersecurity,
    Recent Developments and Emerging Trends in Smart metering,
    Recent Developments and Emerging Trends in Synchrophasor technology

Prof. Nikolaos M. Manousakis
Guest Editor

Special Issue on Design and Validation of Advanced Quantum Computing
Submission Date: 2022-06-30

Dear Colleagues,

Quantum computation is a rapidly developing field and forward leaps forward have been accomplished during recent years. Quantum calculation is evolving from an emerging topic in science into an established field in science and design. With the expanding size of quantum processors, sub-modules that comprise the processor equipment will become too large to precisely reproduce on an old-style PC. Thus, in the near future each new crude plan and boundary decision will require tedious coordination between planning, manufacturing, and test approval. Here, we can show how we can plan and test the exhibition of cutting-edge quantum equipment by utilizing existing quantum PCs. Zeroing in on superconducting transmon processors at the noticeable equipment stage, we can calculate the static and dynamic properties of individual and coupled transmons. We can show how the energy spectra of transmons can be acquired by variational cross-breed, quantum, old-style calculations that are appropriate for close term loud quantum PCs. Furthermore, single-and two-qubit gate simulations are elucidated by means of Suzuki–Trotter decomposition. The strategies clear a promising way towards planning competitor quantum processors when the requirements for ascertaining sub-module properties surpass the abilities of old-style registering assets.

In this SI, editors encourage topics related to hypothetical and fundamental research on the potential and restrictions of quantum innovation, quantum design, and validation, and the investigation of how to accomplish a new advance quantum design. The scope of utilization is suited to the new consolidating innovation; for example, cloud mobile/ubiquitous computing, Internet of Things, big data analytics, artificial intelligence (AI), blockchain, and distributed records innovation.

For further information, please visit:
https://www.mdpi.com/journal/electronics/special_issues/quantum_comput

Original contributions are solicited in relevant areas, including, but not limited to:

- Quantum measures and benchmarks; quantum volume and devotion
- Connectivity and topology; entrapment-based remote sensing utilizing AI
- Quantum PCs and designing; qubit plan and control
- Quantum data science utilizing AI
- Quantum advantages; algorithms and complexity
- Hypothetical and empirical algorithm analysis
- Quantum programming improvement; quantum work processes for application stacks
- HPC integration; quantum assurance, testing, validation, and verification
- Photonic quantum computing and simulation
- AI and decision-making using quantum computing
- Optimization problems —planning, transportation, store network, and coordinations
- Interchanges hypothesis; quantum organizing; quantum web; quantum correspondence advances
- Design of quantum computing using micro-architectures

Dr. Awais Ahmad
Dr. Gwanggil Jeon
Guest Editors

Special Issue on Advanced Control Strategies with Applications to Biomedical and Biological Systems
Submission Date: 2022-06-30

Dear colleagues,

Process control has gained a lot of attention over the last two decades. Moreover, it has had a major impact on process economics by increasing process efficiency and improving product quality and process safety. In recent decades, the problem of control system synthesis has gained increasing importance and maturity, both determined by the increased complexity of the controlled processes and by the quality control specifications that are becoming increasingly stricter. A complex area in that respect that has been receiving a lot of attention lately is the area of biomedical and biological processes. This is a field that has great growth potential with interesting and challenging problems and is critical to the health of millions of people worldwide.

This Special Issue seeks to showcase research papers and review articles that focus on novel developments in the field of advanced control strategies with applications to biomedical and biological systems. The primary objective is to create a forum for researchers to exchange their latest results, analyses, methodologies, techniques, and discussions regarding the control of biomedical and biological systems and to identify critical issues and challenges for future investigation. The submitted papers are expected to discuss original ideas and potential contributions for theory and applications.

Keywords:
- biomedical and biological systems
- drug delivery systems
- pharmaceutical
- process modeling
- process identification
- process dynamics
- nonlinear systems
- advanced control strategies
- model-based predictive control
- robust/hybrid control

Please visit the special issue website at:
https://www.mdpi.com/journal/electronics/special_issues/biomed_biol_processes

Dr. Ioana Nascu
Guest Editor

Special Issue on Special Issue "Applications of Embedded Systems, Volume II"
Submission Date: 2022-07-31

Dear Colleagues,

Miniaturization and cost reduction have brought embedded systems to the core of the modern technological society, making them ubiquitous in almost every domain. The design, engineering, programming, deployment, and management of applications based on embedded systems require a broad range of approaches, methodologies, and techniques, which are often characteristics of each specific application domain. Embedded system applications are required to cope with limited resources (processing power, memory, energy), communication, and networking, both wired and wireless, interfacing with sensors and actuators, specific programming paradigms, and methodologies, which makes the development of an embedded application a challenging task.

The scope of this Special Issue encompasses the full stack of technologies behind modern embedded applications: design of embedded devices, development of software, integration within a larger system, deployment, and management.

This Special Issue welcomes contributions on novel and inspiring applications of embedded systems, including, but not limited to, the following domains:

    Industrial Automation, Manufacturing
    Robotics
    Automotive
    Appliance Automation (Household, Entertainment)
    Healthcare
    Wearable Systems
    Energy Systems, Smart Grid, Home and Building Automation
    Security, Surveillance
    Smart Cities

Dr. Tullio Facchinetti
Guest Editor

Special Issue on "On the Use of Deep Learning for Image/Video Coding and Visual Quality Assessment"
Submission Date: 2022-07-31

Special Issue link: 
https://www.mdpi.com/journal/electronics/special_issues/DL_Image_Video


Dear Colleagues,

With the development of imaging and display technologies, ultra-high-definition, high dynamic range, high frame rate and immersive 360-degree content have emerged in our lives. However, the increase in resolution and dimensionality involves a large amount of data, making its storage or transmission not plausible over existing bandwidth-limited infrastructure. In order to address these challenges, it is desirable to design efficient image/video compression algorithms. Moreover, since there is quality loss during the image/video compression and transmission processes, it is important to have an effective tool to reliably assess, control and ensure high quality.

Today, artificial intelligence (AI) is widely used in academia and industry. Deep learning, and especially convolutional neural networks (CNN),  is regarded as one of the important AI technologies that have been successfully applied in areas such as image processing, computer vision, and pattern recognition. Currently, the traditional video compression and visual quality assessment methods face a lot of challenges, including high computational complexity, limited coding efficiency, and low prediction accuracy. Deep learning provides a new way to solve these problems.

This Special Issue is intended for researchers and practitioners from academia as well as industry who are interested in issues that arise from using deep learning for video data compression and visual quality assessment.

The topics of interest include, but are not limited to:

    Deep learning for image/video compression;
    Deep learning for rate control and bit allocation optimizations;
    Deep learning for filtering algorithms;
    Deep learning for low-complexity video coding algorithms;
    Deep learning for coding efficiency optimization;
    Deep learning for Versatile Video Coding (VVC) optimization;
    Deep learning for 3D/HDR/360-degree video coding;
    Deep learning for frame interpolation;
    Deep learning for image/video quality assessment.

Dr. Kamel Belloulata
Dr. Shiping Zhu
Dr. Hamidouche Wassim
Dr. Sid Ahmed Fezza
Guest Editors

Special Issue on Wearable Sensors and Technologies in Ergonomics, and Occupational Safety & Health
Submission Date: 2022-08-31

Special Issue Website link:
https://www.mdpi.com/journal/electronics/special_issues/Wearable_Sensors_Ergonomics


Dear Colleagues,

Wearable devices have been used in several domains including medical, sports, fitness, rehabilitation, fashion, military, gaming, and entertainment. However, the use of wearable devices for enhanced occupational health, safety, and ergonomics continue to capture the attention of scientists and engineers. Indeed, many researchers are developing these types of innovative medical devices, several of which are reaching the commercial market.  The main aim of this Special Issue is to seek high-quality research studies that highlight the recent developments and applications, and address the challenges of wearable sensors/technologies at the workplace. The topics of interest include, but are not limited to:

    The development, assessment, and application of wearable sensors/technologies in ergonomics.
    The development, assessment, and application of wearable sensors/technologies in occupational safety and health.
    The application of wearable sensors for measuring physiological parameters in the workplace.
    The application of wearable sensors for measuring physical parameters in the workplace.
    The role of wearable sensors and technologies in decreasing musculoskeletal disorders.
    The development and applications of exoskeletons in ergonomics.
    Usability studies related to the application of wearable sensors and technologies in the workplace.
    Smart personal protective equipment (PPE) in the workplace.
    Concerns and challenges with using wearable sensors and technologies in the workplace.
    The market and acceptability of wearable devices in the workplace.

Dr. Mohammad Iman Mokhlespour Esfahani
Dr. Sol Lim
Dr. Reza Akhavian
Guest Editors

Special Issue on Machine Learning: System and Application Perspective
Submission Date: 2022-08-31

Dear Colleagues,

Machine learning techniques are widely used in many types of computing problems. For example, many types of problems related to computer vision, natural language processing, big data analysis, etc., are solved using machine learning techniques. There are many challenging issues associated with machine learning technologies. As machine learning technologies are based on massive datasets and require a lot of computing resources, they need to be designed from a systems perspective. There are also many new machine learning applications such as VR/AR applications and virtual humans.

In this Special Issue, we invite original research articles and review articles dealing with machine learning from a systems or application perspective. A new system architecture for machine learning applications will be addressed from a systems perspective. In particular, how to perform machine learning algorithms in limited resource environments such as cell phones is a challenging problem. From an application point of view, it can cover many types of new applications. For example, a virtual human or virtual robot can become intelligent based on machine learning technology.

Potential topics include, but are not limited to, the following: 

Machine learning systems;
New machine learning applications;
VR/AR applications using machine learning;
System support for machine learning applications;
Performance analysis for machine learning systems;
Natural language processing based on machine learning;
Speech recognition systems based on machine learning;
Intelligent virtual human/robot systems.

https://www.mdpi.com/journal/electronics/special_issues/ML_System_Perspective

Prof. Dr. Tae-Sun Chung
Guest Editor

Special Issue on "Security and Privacy in IoT Enabled Modern Applications Using Deep/Machine Learning and Blockchain Technology"
Submission Date: 2022-09-30

Special Issue link: 
https://www.mdpi.com/journal/electronics/special_issues/Security_IoT_MLBC

Dear Colleagues,

The security and privacy of users have become significant concerns due to the involvement of the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at an explosive pace, making the existing security and privacy measures inadequate. Hence, everyone on the Internet is a potential victim of hackers. Consequently, Machine Learning (ML) algorithms are used to produce accurate outputs from large complex databases. The generated results can be used to predict and detect vulnerabilities in IoT-based systems.

Furthermore, Blockchain (BC) techniques are becoming popular in modern IoT applications to solve security and privacy issues. Several studies have been conducted on either ML algorithms or BC techniques. However, these studies target either security or privacy issues using ML algorithms or BC techniques, thus posing a need for a combined survey on recent years' efforts to address both security and privacy issues in vulnerable IoT devices using ML algorithms and BC techniques.

In this Special Issue proposal, we have summarized the research areas to focus on and the title related to cutting-edge topics, addressing security and privacy issues using ML algorithms and BC techniques in the IoT domain. The Special Issue emphasizes the operational elements of the IoT using machine learning techniques that facilitate intelligence in security and privacy challenges in the real world and in cyberspace. Additionally, we will invite authors to submit case studies based on categorizing various security and privacy threats reported in the past few years (especially during the COVID-19 pandemic) in the IoT domain, along with original research papers as well as survey papers.

Dr. Piyush Kumar Shukla
Dr. Manoj Kumar
Dr. Xiaochun Cheng
Dr. Prashant Kumar Shukla
Guest Editors

Special Issue on "Recent Advances in Integrated Photovoltaics Systems: Materials, Devices and Applications"
Submission Date: 2022-09-30

Special Issue link: 
https://www.mdpi.com/journal/electronics/special_issues/Integrated_PV

Dear Colleagues,

Recently, the rapidly growing demand for energy has observed a paradigm shift towards the development of eco-friendly renewable energy sources to replace exhaustible fossil fuels that have a detrimental impact on the environment. Among various renewable technologies, an integrated photovoltaic (PV) system has shown strong potential as a sustainable and economical energy source. Based on advancements in material synthesis, device engineering, and theoretical examination, efficient and stable photovoltaic systems have been developed.

This Special Issue intends to bring together high-quality papers focused on the recent developments in renewable energy devices. We believe that your contribution in the form of regular articles or comprehensive reviews would be a perfect addition to this Special Issue.

This Special Issue will accommodate the following potential topics (but is not limited to them):

    Photovoltaic systems;
    Development and fabrication of semiconductors for photovoltaic systems;
    Modeling and simulation of integrated photovoltaic applications;
    Material synthesis for photovoltaic devices;
    Monitoring and smart planning of photovoltaic systems;
    Photonic devices integrated with PVs;
    Theoretical and experimental approaches for photovoltaic applications;
    Large-scale fabrication of photovoltaic devices;
    Advancements in building integrated photovoltaic systems;
    Integration of energy storage systems with photovoltaic devices;
    Analysis of charge generation and transport in solar cells;
    Smart monitoring of PV devices;
    Metamaterials and metasurfaces for photovoltaic applications;
    UV-Vis-NIR-IR absorbers ;
    Green energy and photovoltaics;
    Optimization techniques for photovoltaic systems;
    Machine learning, artificial intelligence, and deep learning for photovoltaic systems and applications.

Dr. Muhammad Ahsan Saeed
Dr. Muhammad Mahmood Ali
Guest Editors

Special Issue on Design and Implementation of RF Front-Ends for Next Generation Communication Systems
Submission Date: 2022-10-31

Dear Colleagues,

The rapid increase in the demands of data transmission rates driven by emerging applications has imposed stringent requirements in the operation frequency and bandwidth for next-generation wireless communication systems. To accommodate the requirements of modern communication systems, new design and implementation technologies for front-end subsystems are necessary. New technologies that lead to compact size, ease of integration, and performance improvement are critical at microwave/millimeter-wave frequencies. This Special Issue is thus devoted to the presentation of the latest developments in passive and active components and circuits in the front ends for the next generation of communication systems. All researchers in the field are invited to contribute their original unpublished works. Both research and review papers are welcome.

Topics of interest include but are not limited to:

- Device technologies for microwave/millimeter-wave applications;
- Power-combining techniques;
- Low-noise amplifier circuits;
- Power amplifier circuits;
- Switches;
- Antennas;
- Antenna arrays;
- Filters;
- Passive components;
- Materials for microwave/millimeter-wave applications.

For further information, please visit:
https://www.mdpi.com/journal/electronics/special_issues/rf_front_end

Prof. Dr. Heng-Tung Hsu
Prof. Dr. Jeng-Han Tsai
Dr. Kuniyuki Kakushima
Guest Editors

Special Issue on "Recent Advanced Applications of Rehabilitation and Medical Robotics"
Submission Date: 2022-10-31

Special Issue link: 
https://www.mdpi.com/journal/electronics/special_issues/Rehabilit_Medical_Robotics

Dear Colleagues,

Robotic technologies are able to provide precise and accurate sensing and movement capabilities. Recently, advances in the applications of rehabilitation and medical robots have led to powerful insights about the nature of understanding and augmenting rehabilitation and medical treatments. However, new and challenging theoretical and technological problems are being posed. One can apply state-of-the-art robotic technologies in different ways, including robot-assisted surgery, upper and lower limb rehabilitation, cognitive computation, behavioural intelligence and statistics. Such convergence of interests is encouraging, but few researchers in this active area communicate across disciplinary boundaries, and even fewer are skilled in the ‘language’ and techniques of more than one approach. With this new era of rehabilitation and medical robotics, much research is needed in order to continue to advance the field and also to evaluate the multidisciplinary concerns of the existing robotics and learning techniques.

The main aim of this Special Issue is to seek high-quality submissions that highlight emerging applications and address recent breakthroughs in medical and rehabilitation robotics. The topics of interest include, but are not limited to:

    Robot-assisted surgery;
    Upper and lower limb rehabilitation;
    Medical image analysis;
    EEG/sEMG data analytics;
    Stroke rehabilitation;
    Brain-computer interfaces;
    Haptic sensing;
    Neuro-imaging based diagnosis;
    Neural image captioning;
    Cognitive computation for healthcare;
    Targeted neuroplasticity;
    Human activity recognition;
    Extraction and optimisation techniques;
    Human-machine interfaces/integrations;
    Humanoid service robotics;
    Teleoperation/ telerobotics;
    Medical devices and instrumentation;
    Mobile healthcare;
    Rehabilitation games.

Prof. Dr. Pengcheng Liu
Prof. Dr. Guibin Bian
Dr. Anwar P.P. Abdul Majeed
Prof. Dr. Ahmad Athif
Guest Editors

Special Issue on Stretchable and Wearable Electronics
Submission Date: 2022-12-20

Dear Colleagues,

Stretchable and wearable electronics have emerged and received significant interest in both research and commerce in recent years. This interest stems from the huge demand for their unique electrical and mechanical performance, which can endow electronic devices unprecedented applications.

On the one hand, they can be used in circumstances where they were previously difficult to apply, for example, human skin, tissue-like electronics, stretchable supercapacitors and other circumstances, which greatly broadens the application scenarios for electronic devices. On the other hand, a large number of solution-processable organic or nano materials are adopted in them, and printing technology such as 3D printing, ink-jet printing and some other deposition methods, such as thermal evaporation, sputtering and chemical vapor deposition (CVD), alone or in combination, can also be used to fabricate them. These features make them significantly more available compared to traditional silicon-based electronics, making the manufacturing cost significantly lower and facilitating the diffusion of flexible electronics. As a result, they play an extremely important role in promoting the development of stretchable and wearable electronics. Furthermore, 5G technology and Internet of Things (IoT) technology are expected to contribute to dramatic changes in the fields of healthcare, environmental monitoring, human–machine interface, and energy conversion.

The aims of this Special Issue are to showcase the latest developments in stretchable and wearable electronics, which will cover, but are not limited to, the following categories:

    Flexible electronics;
    Textile-based electronic devices;
    Stretchable supercapacitors;
    Biological and chemical sensors;
    Organic thin-film transistors;
    Photovoltaic cells;
    Flexible logic circuits;
    Flexible photodetectors;
    Actuators;
    Hydrogels.

Dr. Shuye Zhang
Prof. Dr. Wen-Can Huang
Prof. Dr. Baoyang Lu
Dr. Libo Gao
Prof. Dr. Zhenhua Tang
Prof. Dr. Weike Zhang
Dr. Shengxia Li
Dr. Yue Zhang
Dr. Shumi Zhao
Guest Editors

Special Issue on Advances on Ceramic Microsystems
Submission Date: 2022-12-31

Dear Colleagues,

In recent years, ceramic technologies have experienced a renaissance. The growing interest can be observed in the field of developing ceramic-based materials, as well as in the area of their application, such as microwave devices, chemical and biological sensors, integrated circuits, etc. Ceramic-based materials are mostly characterized by the relative simplicity of forming diverse structures, high resistance to harsh environmental conditions and the possibility of integrating such structures with components fabricated by various microelectronic technologies at low cost. Due to the aforementioned advantages, topics well-suited to this paper include, but are not limited to:

1. new trends and achievements in ceramic-based materials;
2. novel microelectronics applications of ceramics;
3. ceramic materials adjusted to microwave applications;
4. microelectronic ceramic sensors;
5. hybrid ceramic-based devices;
6. theoretical and empirical studies of designing, developing and fabricating the ceramic-based microelectronic modules.

Keywords:
- ceramic microsystems
- ceramic fabrication
- LTCC
- ceramic sensors
- Lab-on-Chip
- glass-ceramics
- Integrated ceramic-based modules
- thick-film sensors

For further information, please visit:
https://www.mdpi.com/journal/electronics/special_issues/ceram_microsys

Prof. Dr. Karol Malecha
Dr. Laura Jasinska
Guest Editors

Special Issue on "Recent Advances in AI-Enabled Internet of Things Security and Privacy"
Submission Date: 2022-12-31

Special Issue link: 
https://www.mdpi.com/journal/electronics/special_issues/AI_Iot_Security

Dear Colleagues,

We are experiencing explosive growth in digital data and connected devices today based on the successful realization of the Internet of Things (IoT). The application of artificial intelligence (AI) and machine learning (ML) is prevalent in a wide range of fields. In recent years, AI and ML techniques have been gaining importance as tools to provide intelligence to the IoT. With increased intelligence, the goal of AI-enabled IoT is to provide better heterogeneous connectivity, ubiquitous coverage, reduced network and device complexity, enhanced power savings, and enhanced resource management.

However, due to the deployment of AI-based intelligence for IoT applications, a new set of problems, challenges, risks, and vulnerabilities have been introduced. Thus, it is important to address the challenges provided by intelligent cyberattacks that are targeted towards AI-based IoT.

Prospective authors are invited to submit original manuscripts on topics including, but not limited to:

    Security and privacy issues in intelligent industrial IoT
    Security and privacy issues in intelligent medical IoT
    Security and privacy issues in intelligent smart city IoT
    Security and privacy issues in vehicular IoT
    Security and privacy issues of blockchain technologies for AI-enabled IoT
    Security and privacy issues in intelligent edge network
    Attack models for AI-enabled IoT systems
    Adversarial learning in AI-enabled IoT systems
    AI-based intrusion detection in IoT systems
    Federated learning-based security techniques in intelligent IoT systems
    Experimental testbeds for testing security in AI-enabled IoT systems

Prof. Dr. Insoo Sohn
Prof. Dr. Huaping Liu
Prof. Dr. Tae (Tom) Oh
Guest Editors

Special Issue on Reliable Industry 4.0 Based on Machine Learning and IoT
Submission Date: 2023-01-31

Dear Colleagues,

The fourth industrial revolution, known as Industry 4.0, can provide and integrate many advanced technologies for automation so as to contribute to the operational efficiency and effectiveness of production processes, particularly, the process of combining smart machines and systems. The key technologies of Industry 4.0 are cyber-physical systems, Internet of things (IoT), big data analytics, cloud computing, machine learning, artificial intelligence, visualization, virtual reality, and autonomous robots towards practical applications in many industrial areas. To enhance the reliability of Industry 4.0, researchers from many fields and industries have to work together applying the new technologies in practical applications to provide secure online monitoring and control. This special issue aims to encourage scholars and researchers to present research achievements of state-of-the-art technologies with respect to reliable Industry 4.0 based on machine learning and IoT.

Authors are encouraged to submit papers in any of the following potential topics or related areas of Industry 4.0.

https://www.mdpi.com/journal/electronics/special_issues/Industry_Machine_Learning_IoT

Keywords:
    Cyber-physical systems
    Industrial Internet-of-Things (I-IoT)
    Advanced robotics (collaborative and adaptive robots)
    Additive manufacturing, hybrid manufacturing, and 3D printing
    Smart manufacturing
    Autonomous vehicles and drones
    Industrial big data and data analytics
    Machine learning (ML) and Artificial Intelligence (AI)
    Cloud computing for Industry 4.0
    Augmented reality (AR) and virtual reality (VR) technologies
    Distributed manufacturing
    Planning and scheduling in Industry 4.0
    Energy in Industry 4.0

Dr. Mahmoud Elsisi
Dr. Minh-Quang Tran

Special Issue on Computer-Aided Design for Integrated Circuits and Systems
Submission Date: 2023-01-31

Dear Colleagues,

Currently, we are witnessing a rapid development of semiconductor technology. As a result of the transition from microelectronics to nanoelectronics, new families of VLSI chips have appeared. The modern integrated circuits and systems consist of billions and billions of semiconductor transistors. Now, a single chip is enough to implement very complex digital and mixed digital-analog systems. The stiff competition between the manufacturers of integrated circuits and VLSI systems guarantees that only the best products come to the market. The enormous complexity of modern circuits and systems requires the use of Computer-Aided Design (CAD) tools that automate the different stages of the design flow. Unfortunately, modern CAD tools cannot effectively use all the potential opportunities provided by current integrated circuits. As before, many problems related to the design process still require active human intervention. Therefore, there is an obvious need to improve the theory and practice in circuit design automation in order to provide solutions to these problems. To sum up, the ever-increasing complexity of current and future industrial projects requires the development of efficient CAD tools that facilitate the implementation of complex integrated circuits and systems.

The aim of this Special Issue is to present novel practical and theoretical approaches related to the CAD of integrated circuits and systems. In particular, methodologies, tools, algorithms, and architectures that allow improving the efficiency of integrated circuits and systems in terms of performance, area occupancy, or power consumption are welcome.

Topics of interest of this Special Issue include, but are not limited to, the following:

· Theory of Computer-Aided Design;
· Design methods for reliable and high-efficient (in speed, power consumption or area) integrated circuits and systems;
· Formal methods for System-Level Design;
· Energy-efficient integrated circuits and systems;  
· Design flow for ASICs and programmable devices (FPGAs and CPLDs);
· Synthesis of synchronous/asynchronous digital systems;
· Benchmarking in circuit design automation;
· Design for testability;
· Design, implementation, and verification of Finite State Machines;
· Packing and technology mapping;
· Verification and simulation of digital integrated circuits and systems;
· HW/SW co-design;
· · Design exploration;
· CAD for embedded systems;
· CAD for Cyber-Physical Systems;
· CAD for networking systems;
· Reconfigurable computing.

Guest Editors
Prof. Dr. Alexander Barkalov
Prof. Dr. Larysa Titarenko
Prof. Dr. Raouf Senhadji-Navarro

Special Issue Link:
https://www.mdpi.com/journal/electronics/special_issues/CAD_Circuits_System

Special Issue on Mini-LED, Micro-LED and OLED Displays: Present Status and Future Perspectives
Submission Date: 2023-01-31

Submission deadline: 2023-01-31

Dear Colleagues,

Display technologies have become integral parts of our everyday lives. Their applications cover from smartphones, televisions, cars, and watches to emergent augmented reality and virtual reality. Mini-LED, OLED and Micro-LED are the three next-generation display technologies that have escalated from the research and development phase and have now materialized into commercial products. Despite their similarity in name, they are actually quite different technologically and backed by different display manufacturers. Several technological and scientific efforts have continuously been made to provide better display products.

These three technologies have revolutionized the display world, and each one has different advantages and disadvantages in terms of contrast ratio, resolution density, color gamut, viewing angle, power consumption and the asking price.

This Special Issue is in the scope of optoelectronics and flexible electronics and it welcomes theoretical and experimental studies related to the emerging Mini-LED, OLED and Micro-LED display technologies and highlight the current status of this emissive displays. The capability of these technologies to realize monolithic and heterogeneous devices and their integration in transparent/flexible support to be used in “see-through” applications will be addressed. This issue also covers the light generation mechanisms based on the structure–property relationships and on the size-dependent power efficiency.  This Special Issue will also deal with more general aspects such as the synthesis of new materials, the engineering of new device architectures and realization, the photophysical and photoelectric characteristics. Submitted manuscripts should address one or more of the following themes, although other relevant topics will also be considered:

    The path for OLED in displays;   
    Thin film OLED encapsulation;     
    Efficient material based OLED development;        
    Light extraction;       
    Micro-LED array and growth techniques;        
    Micro-LED arrays on flexible substrates;        
    Color conversion techniques;        
    GaN LED monolithic integration for lighting and displays;        
    Internal Quantum Efficiency of µ-led device;        
    Mini‐LED full-color displays;        
    Mini-LED and µ-LED displays pixel circuit design;        
    Next generation display technologies.

Prof. Dr. Alexis Fischer
Dr. Mahmoud Chakaroun
Guest Editors