Business Intelligence, Computational Mathematics, and Data Analytics
Description
This book constitutes the proceedings of the Second International Conference on Business Intelligence, Computational Mathematics, and Data Analytics, IBCD 2025, held in Pune, India, during September 26-27, 2025.
The 36 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 343 submissions. These papers discuss the latest advancements and innovations in the fields of business intelligence, computational mathematics, and data analytics.
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Content
.- Robust Swin Transformer and ArcFace Framework for Closed and Open Set Ox Face Recognition in Precision Livestock Management.
.- Improvement of human health lifespan with hybrid group pose estimation methods.
.- Efficient fire recognition from surveillance video using enhanced YOLOv5.
.- Predictive Modeling of Wear Behaviour of Ti-8Al-1Mo-1V Aero-Engine Compressor Blade Alloy.
.- Deep Reinforcement Learning for Dynamic Energy Optimization in Data Centers.
.- Grammatical Error Correction for Marathi Using Fine-Tuned Transformer Models.
.- Cybersecurity Challenges and Solutions in Industry 4.0: Securing Critical Infrastructure in the Age of IoT and Automation.
.- RetailNet: AI-Driven Sales Optimization and Marketing Strategies for Perishable Products in Retail.
.- ConvEmoSentNet: A Parameter-Efficient Framework for Multimodal Emotion and Sentiment Analysis in Social Media Conversations.
.- Detecting Deepfakes Across Modalities Using Image and Audio Cues.
.- Socio-Technical Perspectives on Ai Governance Addressing Ethics Fairness and Sustainable Machine Learning Practices.
.- AI-Driven Voice and Gesture-Controlled System for Dental Healthcare.
.- Sensors Based Crop Recommendation System Using Ensemble Modelling.
.- Data analysis to measure the effect of interventions Bundle to prevent complications of arterial cannulation among patients admitted in selected hospitals..
.- Aqua Detection and Prediction using IoT and Machine Learning.
.- An IoT-Based Fleet Management and Vehicle Tracking System with SVM-Based Risk Prediction.
.- Detecting Mental Illness using Face Recognition Techniques.
.- Fertilizer Recommendation Using Deep Soil Inspection.
.- Deep Learning Optimized Models: Early Detection of Tomato Leaf Disease.
.- Data-Driven Detection and Prediction of Crop Diseases and Pests Using Machine Learning Techniques.
.- AI Based Detection of Synthetic Media: A Deep Fake Analysis Using Deep Learning.
.- Advancements in Synthetic Speech Detection and Anti- Spoofing Techniques in Speaker Verification using Deep Learning.
.- Smart Retention Using Generative AI.
.- Economic Stability in SAARC: An ML & NLP Approach to Forecasting and Crisis Prediction.
.- Impact of Climate Change on Agriculture: A Machine Learning Analysis to Predict Crop Production in Maharashtra.
.- Decoding Retail Market Dynamics: A Data-Driven Approach to Consumer Behavior Modeling.
.- Leveraging Machine Learning to Predict Steroid-Induced Organ Damage: Study on Heart, Kidney and Lungs.
.- Development of an Intelligent System for Sickle Cell Disease Detection Using Deep Learning Techniques.
.- AI-Enabled Browser-Based Academic Proctoring Systems for Higher Education Assessment.
.- DL-Driven Approach for Soil Classification and Crop Suggestion.
.- "AI-Driven Breast Cancer Detection System Using Mammography and Breast Tissue Imaging".
.- Automated Political Bias Detection in News Articles.
.- Static Analysis and Machine Learning for Runtime Library Detection in Linux Binaries.
.- Enhanced Detection of Malicious URLs Using Supervised Machine Learning Models.
.- Real-Time Attack Detection Model and Platform Using Machine Learning.
.- A Systematic Review on Grape Leaf Disease Detection and Identification.
.- RedactSafe: Blockchain-Based PII Protection for Legal Audits.
.- AI-Augmented Metadata Enrichment in Enterprise Data Lakes using Transformer-based NLP.
