Recomienda este artículo a tus amigos:
Advancing VLSI through Machine Learning: Innovations and Research Perspectives - Materials, Devices, and Circuits
Precio
Mex$ 3.381
sin IVA
Pedido desde almacén remoto
Entrega prevista 30 de jun. - 16 de jul.
Nuestros clientes opinan:
Añadir a tu lista de deseos de iMusic
También disponible como:
Advancing VLSI through Machine Learning: Innovations and Research Perspectives - Materials, Devices, and Circuits
This book explores the synergy between VLSI and Machine Learning and its applications across various domains. It will investigate how Machine Learning techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.
304 pages, 27 Tables, black and white; 124 Line drawings, black and white; 17 Halftones, black and w
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 30 de marzo de 2025 |
| ISBN13 | 9781032774282 |
| Editores | Taylor & Francis Ltd |
| Páginas | 254 |
| Dimensiones | 150 × 220 × 20 mm · 560 g |
| Lengua | Inglés |
| Editor | Padhy, Jagana Bihari |
| Editor | Singh, Ghanshyam |
| Editor | Singh, Indrasen (Vellore Institute of Technology, India) |
| Editor | Tayal, Shubham (University of Petroleum and Energy Studies, India) |
| Editor | Tripathi, Abhishek Narayan |
