Applications of Mathematics in E-Commerce and Finance : SocProS 2025, Roorkee, India, February 24–26
Book Details
Format
Hardback or Cased Book
Book Series
Springer Proceedings in Mathematics & Statistics
ISBN-10
9819548128
ISBN-13
9789819548125
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 3rd, 2026
Print length
598 Pages
Ksh 36,000.00
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This book offers a comprehensive collection of 46 research contributions presented at the 13th International Conference on Soft Computing for Problem Solving (SocProS 2025): Artificial Intelligence for Viksit Bharat (that is, developed India), held at the Indian Institute of Technology Roorkee, Uttrakhand, India, from 24–26 February 2025.
This book offers a comprehensive collection of 46 research contributions presented at the 13th International Conference on Soft Computing for Problem Solving (SocProS 2025): Artificial Intelligence for Viksit Bharat (that is, developed India), held at the Indian Institute of Technology Roorkee, Uttrakhand, India, from 24–26 February 2025. It discusses how machine learning, deep learning, optimization and intelligent systems are revolutionizing engineering and commercial practices through applications of mathematics. Covering diverse topics such as facial recognition security, cryptocurrency and blockchain technologies, automated trading, sustainable inventory management, personalized recommendation systems and IoT-driven smart solutions, the book highlights both theoretical advancements and practical implementations of mathematics across a wide range of disciplines. This book also addresses emerging areas like green energy management, speech recognition, multilingual language technologies and climate analytics. With a strong emphasis on interdisciplinary research, the chapters integrate computational intelligence, engineering innovations and business applications, providing readers with a holistic view of current trends and future opportunities. This book serves as a valuable reference for researchers, practitioners, industry professionals and students aiming to leverage machine learning and optimization techniques for engineering and e-commerce challenges.
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