ISBN: 9781032598864 - explainable ai (xai) for sustainable development: trends and applications (17 resultados)

hardcover. Condición: Fine.

Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. 1st edition NO-PA16APR2015-KAP.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. In English.

Hardcover. Condición: Brand New. 352 pages. 10.00x7.00x10.00 inches. In Stock.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Lakshmi D is presently designated as a Senior Associate Professor in the School of Computing Science and Engineering (SCSE) and Assistant Director, at the Centre for Innovation in Teaching &amp Learning (CITL) at VIT Bhopal. She has 26 years .…

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain.- Focuses on virtual machine placement and migration techniques for cloud data centres- Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services- Includes application of placement techniques for quality of service, performance, and reliability improvement- Explores data centre resource management, load balancing and orchestration using machine learning techniques- Analyses dynamic and scalable resource scheduling with a focus on resource managementThe reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology. 336 pp. Englisch.…

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

Condición: New. PRINT ON DEMAND.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain.- Focuses on virtual machine placement and migration techniques for cloud data centres- Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services- Includes application of placement techniques for quality of service, performance, and reliability improvement- Explores data centre resource management, load balancing and orchestration using machine learning techniques- Analyses dynamic and scalable resource scheduling with a focus on resource managementThe reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.…