Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems
- Length: 284 pages
- Edition: 1
- Language: English
- Publisher: CRC Press
- Publication Date: 2021-09-14
- ISBN-10: 0367620065
- ISBN-13: 9780367620066
- Sales Rank: #0 (See Top 100 Books)
This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems.
The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications.
The book is written as a reference that offers the latest technologies and research results to various industry problems.
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
Donate to keep this site alive
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.