Transactions on Computational Science XXXIX
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.

1142605279
Transactions on Computational Science XXXIX
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.

69.99 In Stock
Transactions on Computational Science XXXIX

Transactions on Computational Science XXXIX

Transactions on Computational Science XXXIX

Transactions on Computational Science XXXIX

Paperback(1st ed. 2022)

$69.99 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

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.


Product Details

ISBN-13: 9783662664902
Publisher: Springer Berlin Heidelberg
Publication date: 12/27/2022
Series: Lecture Notes in Computer Science , #13460
Edition description: 1st ed. 2022
Pages: 127
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

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.
From the B&N Reads Blog

Customer Reviews