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VLSI and Hardware Implementations using Modern Machine Learning Methods
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VLSI and Hardware Implementations using Modern Machine Learning Methods
This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design with focus on digital, analog and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas.
312 pages, 35 Tables, black and white; 114 Line drawings, black and white; 5 Halftones, black and wh
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 7 de octubre de 2024 |
| ISBN13 | 9781032061726 |
| Editores | Taylor & Francis Ltd |
| Páginas | 312 |
| Dimensiones | 150 × 220 × 10 mm · 417 g |
| Lengua | Inglés |
| Editor | Lata, Kusum (Department of Electronics and Communication Engineering, The LNM Institute of Information Technology, Jaipur, India.) |
| Editor | Saini, Sandeep (Department of Electronics and Communication Engineering, The LNM Institute of Information Technology, Jaipur, India.) |
| Editor | Sinha, G.R. (Department of Electronics and Communication Engineering, Myanmar Institute of Information Technology, Mandalay, Myanmar.) |