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Artificial Intelligence and Smart Environment: ICAISE2022 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 925 pages, height x width: 235x155 mm, weight: 1430 g, 402 Illustrations, color; 112 Illustrations, black and white; XXIII, 925 p. 514 illus., 402 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Networks and Systems 635
  • Izdošanas datums: 08-Mar-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031262530
  • ISBN-13: 9783031262531
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 252,18 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 296,69 €
  • Ietaupiet 15%
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  • Formāts: Paperback / softback, 925 pages, height x width: 235x155 mm, weight: 1430 g, 402 Illustrations, color; 112 Illustrations, black and white; XXIII, 925 p. 514 illus., 402 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Networks and Systems 635
  • Izdošanas datums: 08-Mar-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031262530
  • ISBN-13: 9783031262531
Citas grāmatas par šo tēmu:
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.