Buchumschlag

Application of Artificial Intelligence in the New Era of Communication Networks

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 h...

Ausführliche Beschreibung

Gespeichert in:
Format: Online
Sprache:Englisch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2025
Schlagworte:
traffic classification
machine learning
SDN
cloud computing
rice classification
deep learning
Quantized Neural Network
LeNet-5
emotional intelligence
arousal
valence
attention
adaptation strategies
emotional and cognitive states
personal profiles
MorphCast
RapidMiner
software-defined networking (SDN)
machine learning (ML)
Quality of Service (QoS)
traffic classification (TC)
security
frequency-hopping communication
modulation recognition
deep neural network
adaptive whitening
feature gradient
adversarial example
multi-controller
software defined networks
security attacks
blockchain technology
attack detection
GPS
time and frequency
stability of clocks
clock bias errors
precision timing applications
atomic clocks
time transfer
autonomous navigation
ROS
global planer
time elastic bane
controller area network
intrusion detection system
convolution neural network
lightweight
in-vehicle network
automotive security
V2X communication
pedestrian detection
autonomous vehicles
machine vision
n/a
thema EDItEUR::A The Arts::AT Performing arts::ATF Films, cinema
thema EDItEUR::A The Arts::AT Performing arts::ATJ Television
Online-Zugang:ONIX_20250812T110751_9783725837762_175
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!
Zusammenfassung: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.

Ähnliche Einträge