دانلود کتاب Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems (Big Data for Industry 4.0)

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Cover
Half Title
Series
Title
Copyright
Contents
Preface
Editors
Chapter 1 Overview of Machine Learning and Deep Learning Approaches
Chapter 2 ML and DL Approaches for Intelligent Wireless Sensor Networks
Chapter 3 Machine Learning-Based Optimal Wi­Fi HaLow Standard for Dense IoT Networks
Chapter 4 Energy Efficiency Optimization in Clustered Wireless Sensor Networks via Machine Learning Algorithms
Chapter 5 Machine Learning Approaches in Big Data Analytics Optimization for Wireless Sensor Networks
Chapter 6 Improved Video Steganography for Secured Communication Using Clustering and Chaotic Mapping
Chapter 7 Target Prophecy in an Underwater Environment Using a KNN Algorithm
Chapter 8 A Model for Evaluating Trustworthiness Using Behaviour and Recommendation in Cloud Computing Integrated with Wireless Sensor Networks
Chapter 9 Design of Wireless Sensor Networks Using Fog Computing for the Optimal Provisioning of Analytics as a Service
Chapter 10 DLA­RL: Distributed Link Aware­Reinforcement Learning Algorithm for Delay­Sensitive Networks
Chapter 11 Deep Learning-Based Modulation Detector for an MIMO System
Chapter 12 Deep Learning with an LSTM­Based Defence Mechanism for DDoS Attacks in WSNs
Chapter 13 A Knowledge Investigation Framework for Crowdsourcing Analysis for e­Commerce Networks
Chapter 14 Intelligent Stackelberg Game Theory with Threshold-Based VM Allocation Strategy for Detecting Malicious Co­Resident Virtual Nodes in Cloud Computing Networks
Index