
Transactions on Computational Science XXXIX
Springer (Publisher)
Published on 2. January 2023
Book
Paperback/Softback
XI, 127 pages
978-3-662-66490-2 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Illustrations
31 s/w Abbildungen, 49 farbige Abbildungen
XI, 127 p. 80 illus., 49 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
224 gr
ISBN-13
978-3-662-66490-2 (9783662664902)
DOI
10.1007/978-3-662-66491-9
Schweitzer Classification
Other editions
Additional editions

Marina L. Gavrilova | C. J. Kenneth Tan
Transactions on Computational Science XXXIX
E-Book
01/2023
Springer
€69.54
Available for download
Persons
Content
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.