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Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications
Applied Artificial Intelligence and Machine Learning Techniques for ...
This book presents machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: Biomedical Engineering, Signal Processing, and Computer Science.
August 2025, ca. 184 Seiten, Materials, Devices, and Circuits, Englisch
Taylor and Francis
978-1-032-75324-9
This book presents machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: Biomedical Engineering, Signal Processing, and Computer Science.
August 2025, ca. 184 Seiten, Materials, Devices, and Circuits, Englisch
Taylor and Francis
978-1-032-75324-9
Weitere Titel der Reihe: Materials, Devices, and Circuits
Alle anzeigenHuman-Machine Interface Technology Advancements and Applications
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Quantum-Dot Cellular Automata Circuits for Nanocomputing Applications
Taylor and Francis, 2025
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Tunneling Field Effect Transistors
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Advancing VLSI through Machine Learning
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Device Circuit Co-Design Issues in FETs
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978-1-032-41682-3
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5G and Beyond Wireless Communications
Fundamentals, Applications, and Challenges
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Microwave Devices and Circuits for Advanced Wireless Communication
Design and Analysis
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5G and Beyond Wireless Networks
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Laser Applications in Manufacturing
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Physics, Design, Modeling and Applications
Taylor and Francis, 2023
978-1-03-244531-1
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Human-Machine Interface Technology Advancements and Applications
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Device Circuit Co-Design Issues in FETs
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978-1-03-241425-6
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