Advancing VLSI through Machine Learning: Innovations and Research Perspectives
(Bog, Paperback / softback, Engelsk)
Forlag:
Taylor & Francis Ltd
- Type: Bog
- Format: Paperback / softback
-
Sprog:
Engelsk
- ISBN-13: 9781032774299
- Se flere detaljer ▼
Forventes på lager: 20-07-2026
Beskrivelse
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.
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Alle detaljer
| Forlag | Taylor & Francis Ltd |
| Type | Bog |
| Format | Paperback / softback |
| Sprog | Engelsk |
| Udgivelsesdato | 20-07-2026 |
| Første udgivelsesår | 2026 |
| Serie | Materials, Devices, and Circuits |
| Illustrationer | 27 Tables, black and white; 124 Line drawings, black and white; 17 Halftones, black and white; 141 Illustrations, black and white |
| Fagredaktør | Abhishek Narayan Tripathi, Jagana Bihari Padhy, Indrasen (Vellore Institute of Technology Singh, Shubham (University of Petroleum and Energy Studies Tayal, Ghanshyam Singh |
| Originalsprog | United Kingdom |
| Sideantal | 254 |
| Indbinding | Paperback / softback |
| Forlag | Taylor & Francis Ltd |
| Sideoplysninger | 254 pages, 27 Tables, black and white; 124 Line drawings, black and white; 17 Halftones, black and w |
| Mål | 234 x 156 |
| ISBN-13 / EAN-13 | 9781032774299 |