Buch, Englisch, 510 Seiten, Format (B × H): 155 mm x 235 mm
ISICN 2026
Buch, Englisch, 510 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-39986-1
Verlag: Springer
This book encompasses diverse topics spanning communications, computing, networking, and the services and applications of artificial intelligence. Intelligent computing and networking have emerged as rapidly advancing research areas, attracting significant attention because of their potential to enhance the quality of service for applications in B5G/6G networks and the future Internet. Intelligent computing and networking rely on the seamless integration of communications, networking, computing, artificial intelligence, and other enabling technologies. The book covers a broad spectrum of enabling technologies for intelligent computing and networking. It is intended for researchers, engineers, and practitioners working in the areas of artificial intelligence, intelligent computing, and networking. The primary target audience for this book comprises professors, graduate students, senior undergraduate students, and research engineers. The secondary audience includes industry managers, consultants, and researchers in government agencies working in related fields. This is an important reference for all the audience.
Zielgruppe
Research
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Weitere Infos & Material
Edge Intelligence for Ultra Low Latency IoT Networks A Federated Learning Approach.- Wavelet Based Multi Frequency Perturbation Generation Enhancing Adversarial Example Transferability in Satellite to Device AI Communications.- Prediction Enhanced Soft Actor Critic for Proactive Mobility Aware Resource Provisioning in Fog Computing.- A Recursive Intent Decomposition and Non linear Scheduling Framework for Robust Long Horizon Industrial Agents.- Blockchain-Secured Federated Learning for Distributed Network Anomaly Detection.- Landslide Detection and Stability Evaluation for a Transmission Line Tower Based on Integrated Remote Sensing Technology.- RF-Based Drone Open Set Recognition via Signal Semantic Extraction and Spatial Boundary Optimization.- Intent Driven Programmable Networks with Knowledge Generalization Towards an Autonomous Cognitive Architecture for 6G Communications.- A LLM Based Model for Tainted Data Identification in Power System.- Efficient Task Scheduling and Load Balancing for TCP Elephant Flow Based on DPDK.
