Computational Science and Its Applications ICCSA 2011 1st Edition by Beniamino Murgante, Osvaldo Gervasi, Andres Iglesias, David Taniar, Bernady O Apduhan ISBN 3642219276

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ISBN 10: 3642219276 
ISBN 13: 
Author: Beniamino Murgante, Osvaldo Gervasi, Andres Iglesias, David Taniar, Bernady O Apduhan

This two-volume set, LNCS 13810 and 13811,  constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022.
The total of 84 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 226 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

Computational Science and Its Applications ICCSA 2011 1st Table of contents:

• Parallel and Distributed Computing

  • Focuses on methods, algorithms, and frameworks for parallel computing, distributed systems, and high-performance computing.

• Computational Biology

  • Papers on computational techniques applied to biological systems, bioinformatics, genetics, and systems biology.

• Mathematical Modeling and Simulation

  • Includes advancements in simulation methods, including numerical methods, for solving problems in physical, biological, and engineering sciences.

• Scientific Computing

  • Discusses computational techniques and tools for performing complex scientific calculations across various domains.

• Data Mining and Knowledge Discovery

  • Papers on techniques for extracting meaningful patterns and insights from large data sets, and their applications in various scientific fields.

• Computational Methods for Engineering and Technology

  • Application of computational science in solving engineering and technological challenges.

• Applications in Environmental Sciences

  • Papers dealing with the use of computational methods for solving problems in climate science, environmental modeling, and sustainability.

• Optimization and Machine Learning

  • Studies on optimization algorithms and machine learning techniques in computational science.

• Computer Vision and Image Processing

  • Papers on algorithms and techniques used for processing and interpreting visual information.

• Software Engineering and Tools

  • Focus on software development tools, frameworks, and methodologies for computational science applications.

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