Artificial Intelligence, Data Science and Applications: Icaise 2023: Vol 2

Farhaoui, Yousef (Editor)/ Hussain, Amir (Editor)/ Saba, Tanzila (Editor)/ Taherdoost, Hamed (Editor)/ Verma, Anshul (Editor)

ISBN 10: 3031485726 ISBN 13: 9783031485725

Editorial: Springer Nature, 2024

Idioma: Ingl�s

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Descripci�n

637 pages. 9.25x6.10x1.10 inches. In Stock.

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Detalles bibliogr�ficos

T�tulo

Artificial Intelligence, Data Science and Applications: Icaise 2023: Vol 2

Editor

Springer Nature

Fecha de publicaci�n

2024

Idioma

Ingl�s

ISBN 10

3031485726

ISBN 13

9783031485725

Encuadernaci�n

Paperback

Estado

Brand New

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Sinopsis

This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.

De la contraportada

?This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.

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