Overview
- 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
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13460)
Part of the book sub series: Transactions on Computational Science (TCOMPUTATSCIE)
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About this book
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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Keywords
- artificial intelligence
- classification
- communication channels (information theory)
- computer networks
- computer systems
- computer vision
- correlation analysis
- databases
- distributed computer systems
- face recognition
- graph theory
- image analysis
- information retrieval
- learning
- machine learning
- mathematics
- neural networks
- parallel processing systems
- pattern recognition
- signal processing
Table of contents (6 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Computational Science XXXIX
Editors: Marina L. Gavrilova, C. J. Kenneth Tan
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-66491-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2022
Softcover ISBN: 978-3-662-66490-2Published: 02 January 2023
eBook ISBN: 978-3-662-66491-9Published: 01 January 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 127
Number of Illustrations: 31 b/w illustrations, 49 illustrations in colour
Topics: Computational Science and Engineering, Numeric Computing, Algorithm Analysis and Problem Complexity, Pattern Recognition, Machine Learning, Special Purpose and Application-Based Systems