Shubham tripathi (15 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware. Fetcher, Mt. W. H. (illustrator).

Zustand: New. Fetcher, Mt. W. H. (illustrator).

Zustand: New.

Taschenbuch. Zustand: Neu. Inventory Management using FSN Analysis and Demand Forecasting | Case Study of a Valve Manufacturing Industry | Shubham Tripathi (u. a.) | Taschenbuch | 84 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139847341 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

Paperback. Zustand: Brand New. 246 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 254 pages. 6.14x0.60x9.21 inches. In Stock.

Zustand: New. Dr. Abhishek Narayan Tripathi is currently an Assistant Professor in the Department of Micro and Nanoelectronics, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. He holds a Ph.D. in ECE with a specia.

Taschenbuch. Zustand: Neu. Tooth Resorption | Shubham Tripathi (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208444198 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Neuware - This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains. It investigates how ML techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.This book bridges the gap between VLSI and ML, showcasing the potential of this integration in creating innovative electronic systems, advancing computing capabilities, and paving the way for a new era of intelligent devices and technologies. Additionally, it covers how VLSI technologies can accelerate ML algorithms, enabling more efficient and powerful data processing and inference engines. It explores both hardware and software aspects, covering topics like hardware accelerators, custom hardware for specific ML tasks, and ML-driven optimization techniques for chip design and testing.This book will be helpful for academicians, researchers, postgraduate students, and those working in ML-driven VLSI. …

hardcover. Zustand: Very Good. \The copy shows minor external wear, but is otherwise in clean condition.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 272 pages. 9.19x6.13x0.67 inches. In Stock.

Hardcover. Zustand: Brand New. 304 pages. 9.18x6.12x9.21 inches. In Stock.