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Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications - Materials, Devices, and Circuits
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Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications - Materials, Devices, and Circuits
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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | August 18, 2025 |
| ISBN13 | 9781032753249 |
| Publishers | Taylor & Francis Ltd |
| Pages | 184 |
| Dimensions | 150 × 220 × 20 mm · 460 g |
| Language | English |
| Editor | Desai, Usha (SR University, India) |
| Editor | Fernandes, Steven L |
| Editor | Janapati, Ravichander (SR University, India) |
| Editor | Sengupta, Rakesh |
| Editor | Tayal, Shubham |
