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Information Technology and Computational Physics [electronic resource] / edited by Piotr Kulczycki, László T. Kóczy, Radko Mesiar, Janusz Kacprzyk.

Contributor(s): Kulczycki, Piotr [editor.] | Kóczy, László T [editor.] | Mesiar, Radko [editor.] | Kacprzyk, Janusz [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Advances in Intelligent Systems and Computing: 462Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: VIII, 255 p. 102 illus., 65 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319442600.Subject(s): Computational intelligence | Artificial intelligence | Mathematical physics | Computational Intelligence | Artificial Intelligence | Theoretical, Mathematical and Computational PhysicsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Part I: Intelligent Computing and Data Analysis -- Part II: Information Systems and Image Processing -- Part III: Computational Physics and Applied Mathematics.
In: Springer Nature eBookSummary: A broad spectrum of modern Information Technology (IT) tools, techniques, main developments and still open challenges is presented. Emphasis is on new research directions in various fields of science and technology that are related to data analysis, data mining, knowledge discovery, information retrieval, clustering and classification, decision making and decision support, control, computational mathematics and physics, to name a few. Applications in many relevant fields are presented, notably in telecommunication, social networks, recommender systems, fault detection, robotics, image analysis and recognition, electronics, etc. The methods used by the authors range from high level formal mathematical tools and techniques, through algorithmic and computational tools, to modern metaheuristics.
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Part I: Intelligent Computing and Data Analysis -- Part II: Information Systems and Image Processing -- Part III: Computational Physics and Applied Mathematics.

A broad spectrum of modern Information Technology (IT) tools, techniques, main developments and still open challenges is presented. Emphasis is on new research directions in various fields of science and technology that are related to data analysis, data mining, knowledge discovery, information retrieval, clustering and classification, decision making and decision support, control, computational mathematics and physics, to name a few. Applications in many relevant fields are presented, notably in telecommunication, social networks, recommender systems, fault detection, robotics, image analysis and recognition, electronics, etc. The methods used by the authors range from high level formal mathematical tools and techniques, through algorithmic and computational tools, to modern metaheuristics.

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