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Transactions on computational scienc...

Gavrilova, Marina L.

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Transactions on computational science XXXIX

Record Type:	Electronic resources : Monograph/item
Title/Author:	Transactions on computational science XXXIX/ edited by Marina L. Gavrilova, C. J. Kenneth Tan.
remainder title:	Transactions on computational science 39
other author:	Gavrilova, Marina L.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2022.,
Description:	xi, 127 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Degradable Self-Restructuring of Processor Arrays by Direct Spare Replacement -- Structural Composite Feature Triangulation for Visual Object Search -- Study of Malaysian Cloud Industry and Conjoint Analysis of Healthcare and Education Cloud Service Utilization -- Algorithms for Generating Strongly Chordal Graphs -- A Novel Machine Learning Framework for COVID-19 Image Classification with Bio-heuristic Optimization -- An Unsupervised DNN Embedding System for Image Clustering.
Contained By:	Springer Nature eBook
Subject:	Computer science. -
Online resource:	https://doi.org/10.1007/978-3-662-66491-9
ISBN:	9783662664919

Transactions on computational science XXXIX
Transactions on computational science XXXIX[electronic resource] /Transactions on computational science 39edited by Marina L. Gavrilova, C. J. Kenneth Tan. - Berlin, Heidelberg :Springer Berlin Heidelberg :2022. - xi, 127 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,134600302-9743 ;. - Lecture notes in computer science ;13460..

Degradable Self-Restructuring of Processor Arrays by Direct Spare Replacement -- Structural Composite Feature Triangulation for Visual Object Search -- Study of Malaysian Cloud Industry and Conjoint Analysis of Healthcare and Education Cloud Service Utilization -- Algorithms for Generating Strongly Chordal Graphs -- A Novel Machine Learning Framework for COVID-19 Image Classification with Bio-heuristic Optimization -- An Unsupervised DNN Embedding System for Image Clustering.

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. This, the 39th issue of the Transactions on Computational Science, is devoted to research on geometric modeling, visual object detection, cloud service utilization, pattern recognition, processing arrays, and classification using bio-heuristic optimization.

ISBN: 9783662664919

Standard No.: 10.1007/978-3-662-66491-9doiSubjects--Topical Terms:

523869
Computer science.

LC Class. No.: QA76

Dewey Class. No.: 004

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520 $a The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. This, the 39th issue of the Transactions on Computational Science, is devoted to research on geometric modeling, visual object detection, cloud service utilization, pattern recognition, processing arrays, and classification using bio-heuristic optimization.
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