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Artificial intelligence and smart environmentICAISE'2022 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and smart environmentedited by Yousef Farhaoui ... [et al.].
其他題名:	ICAISE'2022 /
其他題名:	ICAISE'2022
其他作者:	Farhaoui, Yousef.
團體作者:
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xxiii, 925 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence
電子資源:	https://doi.org/10.1007/978-3-031-26254-8
ISBN:	9783031262548$q(electronic bk.)

Artificial intelligence and smart environmentICAISE'2022 /
Artificial intelligence and smart environmentICAISE'2022 /[electronic resource] :ICAISE'2022edited by Yousef Farhaoui ... [et al.]. - Cham :Springer International Publishing :2023. - xxiii, 925 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,6352367-3389 ;. - Lecture notes in networks and systems ;v.1..

This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, artificial intelligence, and smart environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and artificial intelligence.

ISBN: 9783031262548$q(electronic bk.)

Standard No.: 10.1007/978-3-031-26254-8doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

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