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Transactions on Computational Science XXXIX: Lecture Notes in Computer Science, cartea 13460

Editat de Marina L. Gavrilova, C. J. Kenneth Tan
en Limba Engleză Paperback – 2 ian 2023
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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Specificații

ISBN-13: 9783662664902
ISBN-10: 3662664909
Pagini: 127
Ilustrații: XI, 127 p. 80 illus., 49 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.2 kg
Ediția:1st ed. 2022
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Transactions on Computational Science

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

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.

Textul de pe ultima copertă

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.


Caracteristici

Contributed chapters evaluate various computational science approaches Focuses on geometric modeling, visual object detection, could service utilization, pattern recognition, etc. Volume of interest to researchers and engineers engaged with computational science problems