Artificial Intelligence for Signal Processing and Wireless Communication / / ed. by Abhinav Sharma, Arpit Jain, Ashwini Kumar Arya, Mangey Ram.
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...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 |
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HerausgeberIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Series: | De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences ,
11 |
Online Access: | |
Physical Description: | 1 online resource (XIV, 225 p.) |
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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