Transactions on Computational Science XXXIX

1. Front Matter

   Pages i-xi

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2. Degradable Self-restructuring of Processor Arrays by Direct Spare Replacement

   • Itsuo Takanami, Masaru Fukushi

   Pages 1-21

3. Structural Composite Feature Triangulation for Visual Object Search

   • Sinduja Subbhuraam

   Pages 22-43

4. Study of Malaysian Cloud Industry and Conjoint Analysis of Healthcare and Education Cloud Service Utiliztion

   • Chandrani Singh, Midhun Chakkaravarthy, Rik Das

   Pages 44-70

5. Generating Weakly Chordal Graphs from Arbitrary Graphs

   • Sudiksha Khanduja, Aayushi Srivastava, Md Zamilur Rahman, Asish Mukhopadhyay

   Pages 71-84

6. A Novel Machine Learning Framework for Covid-19 Image Classification with Bio-heuristic Optimization

   • Prathap Siddavaatam, Reza Sedaghat, Nahid Sahelgozin

   Pages 85-108

7. An Unsupervised DNN Embedding System for Image Clustering

   • Abu Quwsar Ohi

   Pages 109-126

8. Back Matter

   Pages 127-127

   PDF

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.

• 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

• University of Calgary, Calgary, Canada

  Marina L. Gavrilova

• Sardina Systems OÜ, Tallinn, Estonia

  C. J. Kenneth Tan

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