会议信息

ICISCC 2026: International Conference on Intelligent Sensing, Communication and Computing

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截稿日期:
2026-09-15 还有 82 天
通知日期:
2026-10-27
会议日期:
2026-11-20
会议地点:
Changsha, China
浏览: 39   关注: 0   参加: 0

征稿

ICISCC 2026 (International Conference on Intelligent Sensing, Communication and Computing) is an academic conference held in Changsha, China on 2026-11-20. The paper submission deadline is 2026-09-15. Acceptance notifications are sent on 2026-10-27.

You are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to ICISCC 2026 conference. Topics of interest for submission include, but are not limited to: Track 1: Intelligent Sensing Intelligent Perception Technologies Wireless Sensor Networks and Smart Sensing Image Understanding Object Detection, Recognition, and Tracking Multimodal Sensor Fusion Perception Systems for Autonomous Vehicles Remote Sensing and Intelligent Surveillance Edge AI and Embedded Perception Systems Perception and Control Algorithms Brain-Computer Interface (BCI) Pattern Recognition & Machine Learning Intelligent Systems & Automation Human-Machine Interaction Track 2: Intelligent Communication Mobile Communication Broadband Communication Multimedia Communication 6G Communications and Networks Communication Network and Information Security Networks, IoT & Communication Computer and Intelligent Communication Routing and Control Protocols Antenna Technologies Large-scale MIMO-based networking Extremely high-frequency communications (mmWave, THz) Semantic Communications Signal Processing for Communications Quantum communication UAV Communications Vehicular Networks Integrated Sensing and Communications Cybersecurity Network measurement and analysis Track 3: Intelligent Computing Computer Architecture Information Forensics and Security Deep Learning/Machine Learning Big Data Computer Vision Artificial Intelligence Cloud and Edge Computing Quantum Computing Blockchain Smart Media Virtual Reality Computer System Technology Computer Devices and Components Technology Cloud computing/mobile cloud computing Edge and fog computing/networking Network Computing Neuromorphic computing Large Language Models (LLMs) Foundation Models Multimodal Large Models Generative AI Retrieval-Augmented Generation (RAG) Trustworthy AI Agent Systems Cloud-Edge-End Intelligence Distributed AI AI Security and Privacy Explainable AI
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