Transactions on Computational Science XXXIX

C. J. Kenneth Tan

ISBN 10: 3662664909 / ISBN 13: 9783662664902

Editore: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2023

Riguardo questo articolo

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.

Codice articolo LU-9783662664902

Dati bibliografici

• Titolo: Transactions on Computational Science XXXIX
• Editore: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3662664909
• ISBN 13: 9783662664902
• Rilegatura: Paperback
• Edizione: 1st ed. 2022.
• Condizione: New

Descrizione articolo

Riassunto

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.