Application of Artificial Intelligence in the New Era of Communication Networks
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2025Beskrivning: 1 electronic resource (196 p.)Innehållstyp: - text
- computer
- online resource
- 9783725837755
- 9783725837762
- The Arts
- Performing arts
- Films, cinema
- Television
- GPS
- LeNet-5
- MorphCast
- Quality of Service (QoS)
- Quantized Neural Network
- ROS
- RapidMiner
- SDN
- V2X communication
- adaptation strategies
- adaptive whitening
- adversarial example
- arousal
- atomic clocks
- attack detection
- attention
- automotive security
- autonomous navigation
- autonomous vehicles
- blockchain technology
- clock bias errors
- cloud computing
- controller area network
- convolution neural network
- deep learning
- deep neural network
- emotional and cognitive states
- emotional intelligence
- feature gradient
- frequency-hopping communication
- global planer
- in-vehicle network
- intrusion detection system
- lightweight
- machine learning
- machine learning (ML)
- machine vision
- modulation recognition
- multi-controller
- pedestrian detection
- personal profiles
- precision timing applications
- rice classification
- security
- security attacks
- software defined networks
- software-defined networking (SDN)
- stability of clocks
- time and frequency
- time elastic bane
- time transfer
- traffic classification
- traffic classification (TC)
- valence
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This Special Issue highlights the valuable contributions to wireless and mobile communication technologies, mobile edge computing, and blockchain using modern artificial intelligence and machine learning techniques. The applications of machine learning in wireless and mobile communication networks have been receiving increasing attention, especially in the new era of big data and the Internet of Things (IoT), where data mining and data analysis technologies are effective approaches to solving wireless system issues. Artificial intelligence is one of the leading technologies in 5G, beyond 5G, and future 6G networks. Intelligence is playing a crucial role in unlocking the full potential of the 5G networks and the future 6G mobile wireless networks by leveraging universal infrastructure, open network architectures, software-defined networking, network function virtualization, multi-access edge compu-ting, vehicular networks, etc. The implementation of blockchain and mobile edge computing has become a significant part of new wireless and mobile communication networks, helping to perform computations as close to IoT devices as possible.
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eng
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