Artificial Intelligence for Signal Processing and Wireless Communication

✍ Scribed by Abhinav Sharma, Arpit Jain, Ashwini Kumar Arya, Mangey Ram

• Publisher: De Gruyter
• Year: 2022
• Tongue: English
• Leaves: 242
• Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 11
• Category: Library

✦ Synopsis

This book focuses on artifi cial intelligence in the field of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and video processing is presented, while adaptive signal processing and biomedical signal processing are also explored through DL algorithms, as well as 5G and green communication. Finally, metaheuristic algorithms of related mathematical problems are explored.

✦ Table of Contents

Acknowledgments
Preface
Contents
Editors’ biographies
Long short-term memory (LSTM) deep neural networks for sentiment classification
Plant disease identification using IoT and deep learning algorithms
A comprehensive study of plant pest and disease detection using different computer vision techniques
Artificial intelligence applied to multiand broadband antenna design
Direction of arrival estimation using Lévy flight-based moth flame optimization algorithm
NLP techniques, tools, and algorithms for data science
Prediction of coronary artery disease using logistic regression
Design of antenna with biocomputing approach
Energy-efficient methods for railway monitoring using WSN
Analysis of acoustic emission for milling operation using artificial neural networks
Index