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Artificial intelligence, data science and applicationsICAISE'2023.Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence, data science and applicationsedited by Yousef Farhaoui ... [et al.].
Reminder of title:	ICAISE'2023.
remainder title:	ICAISE 2023
other author:	Farhaoui, Yousef.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xx, 571 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-3-031-48465-0
ISBN:	9783031484650$q(electronic bk.)

Artificial intelligence, data science and applicationsICAISE'2023.Volume 1 /
Artificial intelligence, data science and applicationsICAISE'2023.Volume 1 /[electronic resource] :ICAISE 2023edited by Yousef Farhaoui ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xx, 571 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,8372367-3389 ;. - Lecture notes in networks and systems ;v.1..

Sustainability in Internet of Things: Insights & Scope -- Machine Learning in Finance Case of Credit Scoring -- Prediction of coefficient of friction and wear rate of Stellite 6 coatings manufactured by LMD using Machine Learning -- Predicting Future Sales: A Machine Learning Algorithm Showdown -- A detailed study on the Game of Life -- A decision-making model for selecting solutions and improvement actions using fuzzy logic -- Sensored Brushless DC motor control based on an Artificial Neural Network controller -- A Machine Learning Based Approach to Analyze the Relationship Between Process Variables and Process Alarms -- Improving the Resolution of Images using Super-Resolution Generative Adversarial Networks -- Three Levels of Security Including Scrambling, Encryption and Embedding Data as Row in Cover Image with DNA Reference Sequence.

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.

ISBN: 9783031484650$q(electronic bk.)

Standard No.: 10.1007/978-3-031-48465-0doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Artificial intelligence, data science and applicationsICAISE'2023.Volume 1 /
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520 $a 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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