Proceedings of International Conference on Machine Intelligence and Data Science Applications: MIDAS 2020

This book compiles peer-reviewed papers from the International Conference on Machine Intelligence and Data Science Applications, covering algorithmic aspects, interdisciplinary applications, and various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It is a valuable resource for computer science engineers, lecturers/researchers, and engineering graduates.

Format: Paperback / softback
Length: 813 pages
Publication date: 09 May 2022
Publisher: Springer Verlag, Singapore

This comprehensive volume presents a collection of peer-reviewed papers that were presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book begins by delving into the algorithmic aspect of machine intelligence, encompassing the framework and optimization of various states of algorithms. It includes a diverse range of papers covering wide applications in fields such as image processing, natural language processing, computer vision, sentiment analysis, speech, and gesture analysis, with detailed explanations provided upfront. The book concludes with interdisciplinary applications in areas such as legal, healthcare, smart society, cyber-physical systems, and smart agriculture. This book serves as an invaluable resource for computer science engineers, lecturers/researchers in the field of machine intelligence, and engineering graduates.

Introduction:
The book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The conference aimed to bring together experts from various fields to discuss and explore the latest advancements in machine intelligence and data science applications.

Algorithmic Aspect of Machine Intelligence:
The book begins by addressing the algorithmic aspect of machine intelligence, which includes the framework and optimization of various states of algorithms. This section covers topics such as neural networks, machine learning, and optimization algorithms, which are essential components of modern machine intelligence systems. The authors present their research findings and discuss their contributions to the field.

Diverse Applications:
The book includes a variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. Each paper provides detailed insights into the algorithms and techniques used, as well as the practical applications of these technologies. The authors highlight the challenges and opportunities associated with these applications and discuss their potential impact on various industries.

Interdisciplinary Applications:
The book concludes with interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. These applications demonstrate the seamless integration of machine intelligence and data science to address real-world problems and improve various aspects of our lives. The authors present their research findings and discuss the potential benefits and challenges associated with these applications.

Conclusion:
This book is a valuable resource for computer science engineers, lecturers/researchers in the field of machine intelligence, and engineering graduates. It provides a comprehensive overview of the latest advancements in machine intelligence and data science applications, covering a wide range of topics and interdisciplinary areas. The authors' research findings and insights offer valuable guidance for future research and development in this field.

Weight: 1252g
Dimension: 235 x 155 (mm)
ISBN-13: 9789813340893
Edition number: 1st ed. 2021