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ICNCCom 2027: International Conference on Networks Computers and Communications

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Día de Entrega:
2027-06-30 Faltan 278 días
Fecha de Notificación:
2027-07-31
Fecha de conferencia:
2027-08-27
Ubicación:
Tamil Nadu, India
Ediciones:
Vistas: 1238   Seguidores: 0   Asistentes: 0

Índice Conference Partner (CP-I)

40,7 / 100
Puesto n.º 4.935 de 5.684 congresos · 87% superior

N.º 752 de 864 en Redes y comunicaciones

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
19
Atención de la comunidad (10%)
12
Integridad del registro público (15%)
55

Datos utilizados: Ediciones documentadas: 1 · Investigadores que abrieron esta página en los últimos 24 meses: 4

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

ICNCCom 2027 (International Conference on Networks Computers and Communications) is an academic conference held in Tamil Nadu, India on 2027-08-27. The paper submission deadline is 2027-06-30. Acceptance notifications are sent on 2027-07-31.

Topics The papers are invited for the following tracks Track 1: 5G and beyond Wireless Networks ✦ 5G and Beyond Wireless and 6G Technologies ✦ Flexible, Programmable RAN, Cloud-RAN, and Functional Split ✦ 5G and Beyond ultra Large Cell and Small Technologies ✦ Heterogeneous Cells and Communications ✦ Network Slicing and Multi-service Architectures ✦ Cloud-based 5G and Beyond Mobile Architectures ✦ 5G and Beyond Network Function Virtualization (NFV) ✦ Software Defined Networking (SDN) for 5G and beyond ✦ Spectrum Utilization and Sharing, Cognitive Spectrum Access ✦ Multicast/Broadcast in 5G and Beyond ✦ Convergence of RAN and Core Network ✦ Novel Mobility Management and Mobile Edge Computing (MEC) ✦ Multi-Connectivity/RAT ✦ Resource (network, relay, cloud-computing, etc.) Management Techniques in 5G and Beyond ✦ Coordinated and Small-scale Cell Communications ✦ Device-to-Device Communications and Networking ✦ X-haul Transport Network, Self-backhaul/Integrated Access Networks ✦ Energy-efficient Network Design and Protocols for 5G and Beyond ✦ QoE/QoS Management over 5G and Beyond ✦ Dynamic QoS Framework as an Enabler for Disruptive Use Cases and Services ✦ Network and Protocol Interoperability in 5G and beyond Wireless Networks ✦ Millimeter-wave Communications, Massive MIMO Communications and Dynamic Beamforming Techniques ✦ Machine Learning and Adaptive Techniques for 5G and beyond ✦ Ultra-reliability and Low-latency in 5G and Beyond ✦ 5G and Beyond and AI ✦ LEO and Satellite Technologies for beyond 5G ✦ Free Space Optical Track 2: Internet of Things ✦ IoT and edge computing for sustainable applications ✦ Virtual reality in the management of IoTs and environmental processes ✦ Control, Robotic, Network, and System Sciences and Technologies ✦ 6G and IoT ✦ Electronic Design Automation for IoT Devices ✦ Circuits and Systems for IoT ✦ Reliability, trustworthy, Cybersecurity, and security. ✦ Signal Processing for IoT ✦ Powering IoT devices with ambient energy ✦ Energy harvesting in synergised open RAN and IoT systems ✦ Energy harvesting in RIS-assisted IoT systems ✦ Energy management policies for IoT systems ✦ IoT technologies for energy monitoring, efficiency, harvesting, etc. ✦ Energy-neutral IoT systems  Energy harvesting in mobile IoT systems ✦ Electron Devices Technology and Intelligent Sensors ✦ Critical IoT for Industrial Applications ✦ Novel wireless and RFID sensors for IoT ✦ Intelligent Power and Energy Systems ✦ Digital twin, and IoT Applications ✦ AI/Machine Learning Technologies ✦ Machine Learning-Driven Network Optimization in 6G Smart City IoT Systems ✦ Real-Time Decision-Making in Urban Environments with 6G IoT and Reinforcement Learning ✦ AI-Driven Resource Allocation and Management in 6G Smart City IoT Networks ✦ Low-Latency Communication Strategies for Autonomous Vehicles in 6G Urban IoT ✦ Managing High-Dimensional Smart City IoT Data Streams for 6G Networks Using ML ✦ Future Directions in 6G Smart City IoT ✦ Intelligent Signal Processing in 6G Smart City IoT Using Machine Learning ✦ AI-Based Predictive Analytics for Smart City IoT Networks in 6G ✦ IoT-Driven Innovations in Power Electronics and Energy Systems ✦ IoT systems (hardware/software) for health research ✦ Context-aware health monitoring using pervasive IoT ✦ IoT-based telehealth and home monitoring systems ✦ IoT-based Active and Healthy Ageing technologies ✦ Algorithms/methods for gathering clinically relevant knowledg from IoT devices ✦ Security, privacy, and trust in IoT for health applications ✦ Clinical trials and pilot studies involving IoT ✦ IoT for agricultural applications Track 3: Network Slicing ✦ Architectural design of network slicing for industrial verticals ✦ End-to-end network slicing; ✦ Energy efficiency of sliced networks ✦ Machine learning and artificial intelligence for network slicing ✦ Network slicing framework for the integration of terrestrial and non-terrestrial networks; ✦ Network slicing with heterogeneous radio access technologies ✦ New business models in network slicing ✦ Privacy and security in network slicing ✦ Resource provisioning, orchestration, and management for network slicing; ✦ Service-level agreement design for sliced networks ✦ Sliced network operation and management ✦ SDN/CNF/NFV in recent and novel architecture paradigms ✦ Technologies of software-defined networks and network function virtualization ✦ Virtualization Technologies for Edge/Fog Computing ✦ Emerging improvements, including Network Slicing and the unikernel paradigm ✦ NFV, CNF, and SDN Operations ✦ Protocols for virtual network orchestration ✦ Application of machine learning and big data analytics to manage to simplify deployment and operation of SDN/CNF/NFV networks ✦ SDN/NFV orchestration and operations in 6G network and cloud continuum ✦ Improvements in the design of forwarding elements, e.g., switches/routers, wireless systems ✦ Dynamic license management, autonomics, machine learning, monitoring, resiliency, fault management, and self-healing ✦ Network security and isolation impacts of virtualization technologies ✦ Optimizing virtualized infrastructures, including hardware acceleration technologies ✦ Heterogeneous server platforms and the detailed element-level CPU/GPU/FPGA mapping of network functions ✦ Microservice-based and agent-based SDN/NFV ✦ SDN/NFV in 6G three-dimensional networking ✦ Advanced tools for automated design, deployment, validation, and management Track 4: Cyber Security ✦ Digital currency, blockchains, and cybercrime ✦ Law, investigation, internet jurisdiction, and ethics ✦ Child safety in cyberspace ✦ Cybersecurity and cyber resilience ✦ Cyber insurance and Digital privacy ✦ Critical infrastructure security ✦ Embedded systems security ✦ Business continuity and disaster recovery ✦ Information security governance ✦ Security management and Cyber forensics ✦ Surveillance, interception, blocking, and sovereignty ✦ Software development security ✦ Cyber-physical systems security ✦ Adversarial machine learning ✦ Trust management and Cyber warfare ✦ Network security and Cloud security ✦ Internet of Things Security ✦ Big data and cybersecurity ✦ Healthcare information security Track 5: Computer Vision and Pattern Recognition ✦ Video: Action and event understanding ✦ Video: Low-level analysis, motion, and tracking ✦ Vision + graphics ✦ Vision, language, and reasoning ✦ Vision applications and systems ✦ Autonomous driving ✦ Biometrics ✦ Computational imaging ✦ Computer vision for social good and Computer vision theory ✦ 3D from multi-view and sensors ✦ 3D from single images ✦ Low-level vision ✦ Adversarial attack and defense ✦ Datasets and evaluation ✦ Deep learning architectures and techniques ✦ Document analysis and understanding ✦ Efficient and scalable vision ✦ Explainable computer vision ✦ Embodied vision: Active agents, simulation ✦ Humans: Face, body, pose, gesture, movement ✦ Image and video synthesis and generation ✦ Machine learning (other than deep learning) ✦ Medical and biological vision, cell microscopy ✦ Multimodal learning and Optimization methods (other than deep learning) ✦ Photogrammetry and remote sensing ✦ Physics-based vision and shape-from-X ✦ Recognition: Categorization, detection, retrieval ✦ Representation learning ✦ Robotics ✦ Scene analysis and understanding ✦ Segmentation, grouping, and shape analysis ✦ Transparency, fairness, accountability, privacy, and ethics in vision Track 6: Quantum Communications ✦ Quantum Signal Processing and Quantum Coding ✦ Quantum State Engineering for Sensing and Communications ✦ Quantum State/Process/Measurement Tomography ✦ Satellite-based Quantum Networking Strategies ✦ Quantum Device Innovations and Certifications for Quantum Networks ✦ Design, Analysis, and Applications of Quantum Networks ✦ Quantum Error Correction Techniques ✦ Quantum Computing for Communication and Networking ✦ Quantum Cryptographic Protocols, Post-Quantum Security Solutions, and Privacy-Preserving ✦ Machine Intelligence and Quantum Network Optimization Track 7: Artificial Intelligence Use Cases ✦ Healthcare and life science ✦ Transportation/aerospace ✦ Engineering and manufacturing ✦ Sustainability ✦ Business intelligence ✦ Human-centered AI ✦ Robotics and uav ✦ Computer vision ✦ Security and safety ✦ AI infrastructure ✦ AI in Testing and automation ✦ AI in agriculture and mining Track 8: Disruptive Technologies for Manufacturing ✦ Virtualization techniques (Metaverse and Digital Twin) for Industrial Networks ✦ Heterogeneous OpenRAN for Industrial networks ✦ Security and Privacy for Industrial Networks ✦ Secure Federation and Orchestration of Edge Devices for Industrial Networks ✦ Sustainable and Resilient Zero Touch Networks for Industrial Networks ✦ AI/ML/DL/FL/TL for Sustainable and Resilient Industrial Networks ✦ Congestion control techniques in improving user experience in IoT, Cloud & Edge for Industrial Networks ✦ MEC framework for Industrial Networks ✦ Network management using Network Slicing, SDN, and NFV for Industrial Networks ✦ Computation offloading with advanced AI frameworks for Industrial Networks ✦ Open standards for interoperability for Industrial Networks ✦ Interoperability, heterogeneity, and bandwidth in congested networks
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