Explainable AI (XAI) for Sustainable Development
ISBN 10: 1032600152 ISBN 13: 9781032600154
Published by Candh/CRC Press, 2026
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Synopsis:
En janvier 2015, j'ai pris une énorme décision, une de celles qui allaient changer ma vie : réaliser un rêve en posant un congé solidarité de six mois et partir pour une mission humanitaire en Thaïlande. Basé sur un blog que j’ai tenu tout au long de mon aventure, ce livre présente plus de 175 jours de découverte d’un pays incroyable, d’une culture riche et d’une population extrêmement attachante. Il contient la totalité de mes pérégrinations, mes démarches pour réaliser ce rêve, mes ressentis semaine après semaine et évidemment une myriade de photos.
About the Author: Née en 1983, Marion est vite attirée par un engagement associatif très fort. Elle se détourne un temps de cette passion en suivant ses études puis en entrant dans la vie active. A 30 ans, alors que sa carrière professionnelle est prometteuse, un drame familial la force à se reposer des questions primordiales sur ses aspirations. Elle réalise alors que les rêves de son enfance sont encore bien présents et qu’elle souhaite, à son échelle, s’engager pour un monde meilleur basé sur des valeurs humaines de solidarité et d’entraide. De voyages courts au Cambodge à des actions plus localisées en Paca, elle transmet son optimisme et sa joie de vivre. En 2015, elle décide de faire une pause professionnelle, répond à une offre de volontariat postée par une association thaïlandaise et part s’immerger 6 mois dans la ville de Chiang Mai.
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Bibliographic Details
Title: Explainable AI (XAI) for Sustainable ...
Publisher: Candh/CRC Press
Publication Date: 2026
Binding: PAP
Condition: New
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Paperback. Condition: new. Paperback. 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. This book presents innovative research works to automate, innovate, design, and deploy AI for Real-World Applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032600154
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Paperback. Condition: new. Paperback. 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. This book presents innovative research works to automate, innovate, design, and deploy AI for Real-World Applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032600154
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