Journal Information
Computers & Electrical Engineering
Impact Factor:
Call For Papers
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.

Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.

Specific topics of interest include:

    Applications of high-performance computing and novel computing systems

    Internet-based, multimedia, and wireless networks and applications

    Communications, especially wireless

    Signal processing architectures, algorithms, and applications

    Green technologies in information, computing, and communication systems

    Multi-disciplinary areas, including robotics, embedded systems, and security
Last updated by Dou Sun in 2021-03-09
Special Issues
Special Issue on Artificial Intelligence and Machine Learning in Industry 4.0 (VSI-mli4)
Submission Date: 2021-10-15

Industry 4.0 refers to the introduction of digital technologies and development of skills, resources and high-tech for the evolution of Industrial Factories. The concepts of Artificial Intelligence (AI), Machine Learning (ML) and its applications in Industry 4.0 are popular among researchers. Further development is crucial to the future of the Industry. Several industrial applications are being designed and deployed using AI and ML. Besides, numerous researchers from diversified domains are working towards the amalgamation of these technologies. Different types of industries and research outputs require to work in Industry 4.0 platforms, including the use and integration of AI, ML, Big Data and the Internet of Things (IoT). Therefore, there is an urgent need to develop future-proof types of AI and ML applications, services, architectures and proofs-of-concept. The primary scope of this special section is to cover the areas of AI and ML for Industry 4.0. We invite researchers from academia as well as industry to describe the current state of technologies to harness the power of Artificial Intelligence in the long term. This special section is intended to report high quality, recent and original research work on Industrial applications using AI and ML methods to design new data models and applications for Industry. Best paper winners and top authors from IoTBDS 2021 ( and COMPLEXIS 2021 (, to be held 23-25 April, 2021 online streaming and IIoTBDSC 2021 (24-26 August, 2021, Macao, SAR of China or virtual) shall be invited. We also strongly welcome authors of unpublished work and high-quality outputs to submit. Topics: The topics of interest include New technologies, digitalization and analytics for industrial solutions with AI and ML Soft Computing Models with AI and ML for Big Data and Internet of Things (IoT) Advanced ML and intelligent algorithms for Smart Industry Solutions Industry 4.0 based data analytics platforms with innovative AI approaches Advanced Computational Intelligence and Visual Intelligence for Industry 4.0 Innovative AI and ML with Big Data Analytics and Industrial IoT for Industry 4.0 Real-world Case Studies and Solutions with applications using AI and ML
Last updated by Dou Sun in 2021-01-01
Special Issue on Recent Advances in Deep Learning (VSI-radl)
Submission Date: 2021-12-15

Overview Deep learning (DL) is one of the most promising artificial intelligence (AI) methods that tries to imitate the workings of the human brain in processing information, and automatically generates patterns for decision making and other complicated tasks. DL is able to learn with/without human supervision, drawing from data, even unstructured and/or unlabelled. However, the achievements of DL techniques do not stop at only arriving and outperforming the results of other AI algorithms: DL’s accomplishments are generally better than human results for tasks like image recognition or game playing, thus beyond the expectations of the experts. The aim of this special section is to provide a diverse, but complementary, set of contributions to demonstrate new developments and applications of DL to solve problems in diverse fields. The ultimate goal is to promote research and development of DL by publishing high-quality survey and research articles in this rapidly growing field. Topics: The topics of interest include New architectures, theories, analytics for DL Deep convolutional neural network Deep graph neural network DL with attention mechanism Deep auto-encoders Reinforcement learning DL applications, e.g., IoT, medical image analysis, multimedia technology, and enhanced learning Submission Guidelines: New papers, or extended versions of papers presented at related conferences, are welcome. Submissions must not be currently under review for publication elsewhere. Conference papers may be submitted only if they are substantially extended (more than 50%) and must be referenced. All submitted papers will be peer-reviewed using the normal standards of CAEE, and accepted based on quality, originality, novelty, and relevance to the theme of the special section. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the special issue. Before submission, authors should carefully read the Guide for Authors available at Authors should submit their papers through the journal's web submission tool at by selecting “VSI-radl” under the “Issues” tab. For additional questions, contact the Main Guest Editor. Schedule : Submission of manuscript: Dec. 15, 2021 First notification: March 15, 2022 Submission of revised manuscript: April 15, 2022 Notification of the re-review: May 15, 2022 Final notification: June 15, 2022 Final paper due: July 15, 2022 Publication: Oct 15, 2022 Guest Editors: Yu-Dong Zhang (Main Guest Editor) University of Leicester, Leicester, UK Email: Juan Manuel Gorriz University of Granada, Spain Email: Yuankai Huo Vanderbilt University, USA Email:
Last updated by Dou Sun in 2021-03-09
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