Artificial Intelligence Techniques in IoT Sensor Networks

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in Artificial Intelligence (AI), Sensor Networks and Internet of Things (IoT). This book intends to develop a shared understanding of ap...

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Hlavní autoři:	Mohamed Elhoseny, K Shankar, Mohamed Abdel-Basset
Médium:	E-kniha
Jazyk:	angličtina
Vydáno:	Milton CRC Press 2021 CRC Press LLC
Vydání:	1
Edice:	Chapman & Hall/CRC Distributed Sensing and Intelligent Systems Series
Témata:	AI techniques Artificial Intelligence Computer Engineering Computer Science (General) COMPUTERSCIENCEnetBASE ElectricalEngineeringnetBASE ENGnetBASE INFORMATIONSCIENCEnetBASE Instrumentation, Measurement & Testing Internet of things Machine Learning Networks SCI-TECHnetBASE Sensor Networks STMnetBASE Systems & Computer Engineering SVM Approach SVM Model GWO Algorithm MLP Model Network Lifetime CH Selection Sensor Node Local Search Phase KH GWO IoT Device MN SSIM Modified Particle Swarm Optimization IoT System Intercluster Communication Wireless Sensor Networks Energy Efficiency Unequal Clustering CHs CT Brain Image Minimum Logistic Cost Proposed Clustering Algorithm Maximized Network Lifetime IoT Network
ISBN:	9780367681456, 9780367439255, 0367681455, 0367439255
On-line přístup:	Získat plný text
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