Deep Learning Concepts in Operations Research

Author:   Biswadip Basu Mallik (Institute of Engineering & Management, Kolkata) ,  Gunjan Mukherjee (Brainware University, India) ,  Rahul Kar (Kalyani Mahavidyalaya, India) ,  Aryan Chaudhary (Chief Scientific Advisor, Bio Tech Sphere Research, India)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032559971


Pages:   264
Publication Date:   26 December 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Deep Learning Concepts in Operations Research


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Author:   Biswadip Basu Mallik (Institute of Engineering & Management, Kolkata) ,  Gunjan Mukherjee (Brainware University, India) ,  Rahul Kar (Kalyani Mahavidyalaya, India) ,  Aryan Chaudhary (Chief Scientific Advisor, Bio Tech Sphere Research, India)
Publisher:   Taylor & Francis Ltd
Imprint:   Auerbach
ISBN:  

9781032559971


ISBN 10:   1032559977
Pages:   264
Publication Date:   26 December 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Deep Learning: Overview, Applications and Computing Devices 2. Deep Learning Impacts in the Field of Artificial Intelligence 3. Deep Learning is a State-of-the-Art Approach to Artificial Intelligence 4. Unleashing the Power: Exploring Deep Learning Architecture for Cutting-Edge AI Solutions 5. Deep Learning for ECG Classification: Techniques, Applications, and Challenges 6. Social Distancing Detection System Using Single Shot Detection (SSD) and Neural Networks 7. Recognition of Voice and Speech Using NLP Techniques 8. Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment Analysis 9. Machine Learning for Traffic Flow Prediction Addressing Congestion Challenges 10. Enhancing Autistic Spectrum Disorder Diagnosis Using ML Techniques: A Study on Deep Neural Network and Drop-out Deep Neural Network 11. Deep Learning: A State-of-the-Art Approach to Artificial Intelligence 12. An Approach through Different Mathematical Models to Enhance the Utility in Different Areas of Machine Learning 13. Study of Different Regression Methods, Models and Application in Deep Learning Paradigm 14. Deep Learning Impacts in the Field of Artificial Intelligence 15. Stock Prices Prediction of the FMCG Sector in NSE India: An Artificial Intelligence Approach 16. Multi-Attribute Decision Modelling 17. Regression Methods and Models 18. The Machine Learning Pipeline: Algorithms, Applications, and Managerial Implications 19. Role of Fertamean Neutrosophic Sets for Decision Making Modelling in Machine Learning 20. Performance Evaluation of Machine Learning Algorithms in the Field of Security-Malware Detection

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Author Information

Dr. Biswadip Basu Mallik is an associate professor of Mathematics in the Department of Basic Science & Humanities at Institute of Engineering & Management, University of Engineering & Management, Kolkata, India. Dr. Gunjan Mukherjee is an associate 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 chief scientific advisor at BioTech Sphere Research, India, and a recognized researcher of healthcare and technology.

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