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Title
Transactions on computational science XXXIX / Marina L. Gavrilova, C. J. Kenneth Tan (eds.).
ISBN
9783662664919 (electronic bk.)
3662664917 (electronic bk.)
9783662664902 (print)
3662664909
Published
Berlin, Germany : Springer, 2022.
Language
English
Description
1 online resource (xi, 127 pages) : illustrations (some color).
Item Number
10.1007/978-3-662-66491-9 doi
Call Number
QA76
Dewey Decimal Classification
004
Summary
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.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 11, 2023).
Series
Lecture notes in computer science ; 13460. 1866-4741
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.