Kandpal jyoti (38 risultati)

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. Abhishek Kumar is working as an associate professor in the School of Electronics and Electrical Engineering at Lovely Professional University, Punjab, India. With over eleven years of experience in academia, he has made significant contributions to resea.

Condizione: New.

Hardcover. Condizione: Brand New. 352 pages. 11.18x7.24x1.34 inches. In Stock.

Hardcover. Condizione: Brand New. 432 pages. 9.18x6.12x9.45 inches. In Stock.

Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Condizione: New.

Buch. Condizione: Neu. Neuware - The text provides a comprehensive and forward-looking exploration of the integration between low-power CMOS VLSI design and cutting-edge technologies such as artificial intelligence and machine learning. - Explores how artificial intelligence techniques are revolutionizing VLSI design, focusing on optimizing low-power circuits and systems. - Presents the latest advancements and research in both artificial intelligence and VLSI design, such as FinFET and nanosheet-based logic, analog integrated circuits design, and optimization with artificial intelligence. - Offers perspectives on future trends and potential developments in the integration of artificial intelligence with VLSI design to reduce the complexity and time-consuming process of semiconductor IC design. - Addresses techniques for achieving energy efficiency in both digital and analog components and presents future trends in low-power VLSI design. - Discusses topics such as artificial intelligence-driven adaptive power management in VLSI design and neural networks in low-power VLSI architectures. The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, microelectronics, VLSI design, artificial intelligence, computer science and engineering.…

Condizione: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Condizione: New. 2026. 1st Edition. hardcover. . . . . .

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. The text provides a comprehensive and forward-looking exploration of the integration between low-power CMOS VLSI design and cutting-edge technologies such as artificial intelligence and machine learning.Explores how artificial intelligence techniques are revolutionizing VLSI design, focusing on optimizing low-power circuits and systems.Presents the latest advancements and research in both artificial intelligence and VLSI design, such as FinFET and nanosheet-based logic, analog integrated circuits design, and optimization with artificial intelligence.Offers perspectives on future trends and potential developments in the integration of artificial intelligence with VLSI design to reduce the complexity and time-consuming process of semiconductor IC design.Addresses techniques for achieving energy efficiency in both digital and analog components and presents future trends in low-power VLSI design.Discusses topics such as artificial intelligence-driven adaptive power management in VLSI design and neural networks in low-power VLSI architectures.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, microelectronics, VLSI design, artificial intelligence, computer science and engineering. The book showcases how artificial intelligence and machine learning technologies are integrated into low-power VLSI design, such as a probabilistic power reduction technique with artificial intelligence for low power. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…