Artificial Intelligence for Signal Processing and Wireless Communication

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Artificial Intelligence for Signal Processing and Wireless Communication

Edited by: , , and

Language: English

Published/Copyright: 2022

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This book is in the series

Volume 11 | De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences

About this book

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.

Author / Editor information

A. Sharma, A. Jain, Univ. of Petroleum, Bidholi, India; A. K. Arya, Kyung Hee Univ., S.Korea; M. Ram, Graphic Era Univ., India.

Topics

Publicly Available

Frontmatter
I

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Acknowledgments
V

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Preface
VII

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Contents
XI

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Editors’ biographies
XIII

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Long short-term memory (LSTM) deep neural networks for sentiment classification
1
Bharatendra Rai

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Plant disease identification using IoT and deep learning algorithms
11
Sathiya S., Cecil Antony and Praveen Kumar Ghodke

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A comprehensive study of plant pest and disease detection using different computer vision techniques
47
Chandrasinh Parmar, Nishith Kotak, Vishal Sorathiya and Shobhit K. Patel

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Artificial intelligence applied to multiand broadband antenna design
69
Satish K. Jain and Shobha Jain

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Direction of arrival estimation using Lévy flight-based moth flame optimization algorithm
107
Shreeyansh Singh Yadav, Abhinav Sharma, Abhishek Sharma and Arpit Jain

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NLP techniques, tools, and algorithms for data science
123
Preeti Malik, Varsha Mittal, Lata Nautiyal and Mangey Ram

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Prediction of coronary artery disease using logistic regression
149
Debabrata Swain, Paawan Sharma, Vinay Vakharia and Tapash Kumar Tanty

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Design of antenna with biocomputing approach
159
Anuradha

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Energy-efficient methods for railway monitoring using WSN
179
Manoj Tolani, Arun Balodi, Ambar Bajpai, Sunny and Rajat Kumar Singh

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Analysis of acoustic emission for milling operation using artificial neural networks
203
Paawan Sharma, Vinay Vakharia and Debabrata Swain

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Index
221

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Publishing information

Pages and Images/Illustrations in book

eBook published on:

April 4, 2022

eBook ISBN:

9783110734652

Hardcover published on:

April 18, 2022

Hardcover ISBN:

9783110738827

Pages and Images/Illustrations in book

Front matter:

14

Main content:

225

Illustrations:

20

Coloured Illustrations:

63

Tables:

32

https://doi.org/10.1515/9783110734652

eBook ISBN: 9783110734652

Hardcover ISBN: 9783110738827

Keywords for this book

Algorithmus; Signalverarbeitung; Künstliche Intelligenz; Maschinelles Lernen

Audience(s) for this book

Researchers, Graduate Students,

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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

Artificial Intelligence for Signal Processing and Wireless Communication

Overview

About this book

Author / Editor information

Topics

Table of contents

Frontmatter

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

Bibliographic data