Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)

ISBN 10: 1032708026 / ISBN 13: 9781032708027

Published by Auerbach Publications, 2024

About this Item

Seller Inventory # mon0003734454

Bibliographic Details

• Title: Deep Learning Applications in Operations Research (Advances in Computational Collective Intelligence)
• Publisher: Auerbach Publications
• Publication Date: 2024
• Language: English
• ISBN 10: 1032708026
• ISBN 13: 9781032708027
• Binding: hardcover
• Condition: Fine

About this title

Synopsis

The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.

Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies.

About the Author

Biswadip Basu Mallik is a Senior Assistant Professor of Mathematics in the Department of Basic Sciences & Humanities at Institute of Engineering & Management, Kolkata, India.

Gunjan Mukherjee is an Assistant professor in the Department of Computational Science, Brainware University, Barasat, India.

Rahul Kar holds a master's degree in mathematics from Burdwan University and is currently working as a SACT-II Mathematics faculty of Kalyani Mahavidyalaya, Kalyani, Nadia, West Bengal.

Aryan Chaudhary is the Research Head and Lead Member of the research project launched by Nijji Healthcare Pvt Ltd.