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Information technology and computati...

Kulczycki, Piotr.

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Information technology and computational physics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Information technology and computational physics/ edited by Piotr Kulczycki ... [et al.].
other author:	Kulczycki, Piotr.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	viii, 255 p. :ill., digital ;24 cm.
[NT 15003449]:	Part I: Intelligent Computing and Data Analysis -- Part II: Information Systems and Image Processing -- Part III: Computational Physics and Applied Mathematics.
Contained By:	Springer eBooks
Subject:	Information technology. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-44260-0
ISBN:	9783319442600

Information technology and computational physics
Information technology and computational physics[electronic resource] /edited by Piotr Kulczycki ... [et al.]. - Cham :Springer International Publishing :2017. - viii, 255 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.4622194-5357 ;. - Advances in intelligent systems and computing ;v.462..

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.

ISBN: 9783319442600

Standard No.: 10.1007/978-3-319-44260-0doiSubjects--Topical Terms:

532993
Information technology.

LC Class. No.: T58.5

Dewey Class. No.: 004

Information technology and computational physics
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245 0 0 $a Information technology and computational physics $h [electronic resource] / $c edited by Piotr Kulczycki ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a viii, 255 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.462
505 0 $a Part I: Intelligent Computing and Data Analysis -- Part II: Information Systems and Image Processing -- Part III: Computational Physics and Applied Mathematics.
520 $a 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.
650 0 $a Information technology. $3 532993
650 0 $a Physics $x Data processing. $3 534167
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Numerical and Computational Physics, Simulation. $3 2209853
700 1 $a Kulczycki, Piotr. $3 3242181
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Advances in intelligent systems and computing ; $v v.462. $3 3242182
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-44260-0
950 $a Engineering (Springer-11647)