1839115343     

Artificial Intelligence and Smart Environment : ICAISE’2022 / edited by Yousef Farhaoui, Alvaro Rocha, Zouhaier Brahmia, Bharat Bhushab

Farhaoui, Yousef [Herausgeberin/-geber] ; Rocha, Alvaro [Herausgeberin/-geber] ; Brahmia, Zouhaier [Herausgeberin/-geber] ; Bhushab, Bharat [Herausgeberin/-geber]

1st ed. 2023.

Cham : Springer International Publishing [2023.] ; Cham : Imprint: Springer [2023.], 2023

1 Online-Ressource(XXIII, 925 p. 514 illus., 402 illus. in color.)

Englisch

Erscheint auch als: (Druck-Ausgabe)

Erscheint auch als: (Druck-Ausgabe)

978-3-031-26254-8

978-3-031-26253-1 (ISBN der Printausgabe); 978-3-031-26255-5 (ISBN der Printausgabe)

Elektronische Ressource: Zugang über Resolving-System (Lizenzangabe: Lizenzpflichtig)

Digital Object Identifier (DOI): 10.1007/978-3-031-26254-8

006.3     Ähnliche Literatur

bicssc: UYQ ; bisacsh: TEC009000

LOC-SH: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering

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.