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Full Description
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.
Contents
Chapter 1. Fooling A Deep Learning-based Facial Expression Recognition System using its Class Activation Map and Differential Evolution.- Chapter 2. Cryptocurrency and Blockchain The Future Of Finance?.- Chapter 3. AI-Powered Custom Emoji Generator: Enhancing Digital Expression and Engagement.- Chapter 4. A Comparative Analysis of Classification with Explainability of Customer Churn Prediction.- Chapter 5. Precision Strontium Detection in Water: A Machine Learning Augmented Flame Photometric Approach.- Chapter 6. Comparative Analysis of Random Forest and SVM for EMG-Based Gesture Recognition.- Chapter 7. Comparative study of CNN and LSTM deep learning models for EMG signals for gesture recognition.- Chapter 8. Data-Driven Insights from High-Dimensional Time-Series Signals: A Comprehensive Analysis Approach.- Chapter 9. An Intuitionistic Fuzzy Differential Equation Approach to Economic Production Inventory Model.- Chapter 10. Observation of Reliability, BER, FER, BLER and throughput during the coexistence of 4G LTE and 5G NR.- Chapter 11. Byzantine Linearizability: Reliable Broadcast, Snapshots and Asset Transfer for Bounded Memory.- Chapter 12. A Green Supply Chain Approach under Market Displacement Factor for Novel and Refurbished Inventory.- Chapter 13. Power Fluctuation Detection Technique in Solar Power Plant Using Machine Learning.- Chapter 14. Benefits of Hybrid Demand in a Sustainable Inventory Model with Advance Payment Discount Facility under Preservation and Green Technology.- Chapter 15. Reducing Operational Costs with Cost-Sensitive XG-Boost-Based Failure Prediction.- Chapter 16. Enhanced Hybrid DEA Approach for Predicting Hotel Efficiency: Probabilistic and Neural Network Approaches.- Chapter 17. End-to-end trained Punjabi ASR system with Tonal Features.- Chapter 18. Granular Ball Random Forest for Robust Classification.- Chapter 19. Tolerance based feature selection of an incomplete interval-valued data.- Chapter 20. Design and implementation of Algorithmic Trading system using Alpaca and Lumibot.- Chapter 21. ML-Maestro: No Code Machine Learning with Interactive Data Visualization.- Chapter 22. A Multimodal Approach to Recommendation Systems: Integrating User Preferences and Item Analysis.- Chapter 23. A Supply Chain Inventory Model with Fuzzy Environment in Circular Economy.- Chapter 24. Object Identification for Visually Impaired using IoT with Image Processing and Voice Conversion.- Chapter 25. Pronominal and Nominal Coreference Resolution in Assamese: A Linguistic Rule-Based Framework.- Chapter 26. Enhanced Sentiment Analysis Using the RoBERTa-GRU Hybrid Model for Noisy Social Media Data.- Chapter 27. Design and Development of a Robust Assamese Language Dataset for Author Attribution.- Chapter 28. Unraveling Plasticity Loss in Deep Neural Networks Under Non-Stationary Objectives.- Chapter 29. Mapping SDG Goals with ESG Strategies using Topic Modeling: An Analysis of FMCG Sector.- Chapter 30. A Comparative Study of Vowel Systems in Five NorthEast Indian Languages: Phonetic Charts and Acoustic Features in Bodo, Karbi, Mising, Nepali, and Tiwa.- Chapter 31. Causal Similarity and Feature Engineering for Stock Movement Prediction.- Chapter 32. Enhancing Interpretability and Diagnostic Accuracy in CNN-Based Mammography Analysis.- Chapter 33. Coral Classification and Detection: Advancing Underwater Imaging for Biodiversity Monitoring.- Chapter 34. FurMatch: A Smart System for Personalized Dog Breed Recommendations.- Chapter 35. Evaluating cultural awareness of prominent Vision Language Models for Assamese Handloom Saree.- Chapter 36. Comparative Analysis of Statistical, Machine Learning, and Deep Learning Models for NIFTY 50 Financial Forecasting.- Chapter 37. Innovative EV charging approach Implicating IoT A Smart and User Friendly Concept.- Chapter 38. Portable, Low-Cost, Capacitor-Loaded On-Field I-V Curve Tracer for Solar Photovoltaic Modules with Low Power Rating.- Chapter 39. Spatial and Temporal analysis of Tropical Indian Ocean Climate modes.- Chapter 40. Urban sprawl: Analyzing Development and Change Detection Using GEE in Vijayawada.- Chapter 41. Ignition Time Prediction of Live Shrubs Using Machine Learning.- Chapter 42. ToMEto: A Fusion Cuisine Platform for Recipe Innovation and Ingredient Substitution.- Chapter 43. Effect of variable thickness on the thermal buckling behavior of functionally graded circular plates.- Chapter 44. Recent Five Years' Comprehensive Review for Green Supplier Selection with Advanced Decision Techniques.
