Intelligent Systems in Solid-State Electronics and Communication Engineering (Modern Aspects of Computing, Devices, and Communication Engineering)

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Intelligent Systems in Solid-State Electronics and Communication Engineering (Modern Aspects of Computing, Devices, and Communication Engineering)

Bhattacharya, Ankan (EDT)/ Sur, Samarendra Nath (EDT)/ Kumar Bhoi, Akash (EDT)

ウェブストア価格 ¥38,522（本体¥35,020）
CRC Press（2026/04発売）
外貨定価 US$ 180.00
読書週間ポイント2倍キャンペーン対象商品（～11/9）
ポイント 700pt

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製本 Hardcover:ハードカバー版／ページ数 392 p.
言語 ENG
商品コード 9781032963426

Full Description

The text focuses on the application of artificial intelligence and machine learning techniques in Computing, solid-state electronic devices, and communication engineering.

Investigates the role of smart technologies such as artificial intelligence, machine learning, and deep learning in the fabrication and manufacturing of solid-state electronic devices.
Discusses artificial intelligence applications in the design of solid-state electronic devices, microwave engineering, and remote sensing.
Focuses on artificial intelligence and machine learning applications in designing miniaturized semiconductor integrated circuit chips, and modern microwave devices like microstrip antennas, and microstrip filters.
Covers artificial intelligence and machine learning-based systems for mobile communication networks.
Showcases applications of artificial intelligence for analog and mixed-signal circuits for mitigation of computational complexities.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.

1. An Introduction to the Significance of Artificial Intelligence/Machine Learning in Solid State Electronics and Communication Engineering: An Economical Perspective. 2. Artificial Intelligence in the Design of Solid-state Devices. 3. Artificial Intelligence and Machine Learning in the Design and Optimization of Semiconductor Devices. 4. Application of Artificial Intelligence for Analog and Mixed Signal Circuits for Mitigation of Computational Complexities. 5. Artificial Intelligence/Machine Learning with the Internet of Things Integration for Energy Efficient Electronic Device Design and Manufacturing. 6. Artificial Intelligence and Machine Learning Applications in the Communication Sector. 7. Role of Artificial Intelligence/Machine Learning for the Design of Electronic Devices Used in Communications. 8. Artificial Intelligence and Machine Learning-based Systems for Mobile Communication Networks. 9. Application of Artificial Intelligence/Machine Learning in the Internet of Things-based Modern Engineering, such as Remote Sensing and Microwave Propagation. 10. Machine Learning and Artificial Intelligence for Communications and Networking Protocols.