Artificial Intelligence for Signal Processing and Wireless Communication by Abhinav Sharma
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.
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Metaverse and Digital Twins
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Reengineering Cyber Security Process
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Operational Perspective of Modeling System Reliability
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Digital Blockchain
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Artificial Intelligence for Healthcare
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Distributed Transfer Function Method
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Machine Learning for Cyber Security
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Soft Computing
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Supply Chain Sustainability
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Linear Integer Programming
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Systems Reliability Engineering
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Noise Filtering for Big Data Analytics
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Mathematics for Reliability Engineering
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Computational Intelligence
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Distributed Denial of Service Attacks
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Mathematical Fluid Mechanics
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Systems Performance Modeling
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Integral Transforms and Applications
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Multiple Criteria Decision-Making Methods
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Meta-heuristic Optimization Techniques
A. Sharma, A. Jain, Univ. of Petroleum, Bidholi, India; A. K. Arya, Kyung Hee Univ., S.Korea; M. Ram, Graphic Era Univ., India.
| SKU | Unavailable |
| ISBN 13 | 9783110738827 |
| ISBN 10 | 3110738821 |
| Title | Artificial Intelligence for Signal Processing and Wireless Communication |
| Author | Abhinav Sharma |
| Series | De Gruyter Series On The Applications Of Mathematics In Engineering And Information Sciences |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | De Gruyter |
| Year published | 2022-04-18 |
| Number of pages | 239 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |