Mining Intelligence and Knowledge Exploration: 10th International Conference, MIKE 2025, Chennai, India, December 9–13, 2025, Proceedings(16359 Lecture Notes in Computer Science)

This volume constitutes the proceedings of 10th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2025, held in Chennai, India, during December 9–13, 2025.

The 63 full papers included in this book were carefully reviewed and selected from 256 submissions. The MIKE conference series continues to provide a premier international forum for researchers, academicians, and industry professionals to exchange ideas, present novel research contributions, and discuss emerging challenges and opportunities in areas such as Artificial Intelligence, Machine Learning, Data Mining, Knowledge Exploration, Natural Language Processing, Computer Vision, Internet of Things, Intelligent Security Systems, Generative AI, and other related domains.

.- An Agentic QA Framework: Leveraging Multi-Agent AI for End-to-End Software Quality Strategies.
.- Multi-Agent LLMs For Clinical Decision Making using Auto Epistemic Logic based Reasoning.
.- AI-Powered Investment Recommendation Agent with Sentiment and Market Analytics.
.- Optimizing Post-Treatment Mental Health Disorder Relapse Prediction: An AI-Based Framework Using Clinical and Behavioral Data.
.- Prediction of Diabetes and Hypertension using Mental Stress Indicators.
.- Layer-Specific Cryptographic Identity Framework within a Zero-Trust Computing Continuum.
.- Enhanced QoS in Cloud Computing Using Hybrid Blockchain-VNPSO.
.- Concept-Based Explainability Framework for Industrial Time-Series Prognostics.
.- Skew-Normal Finite Mixture Modeling with Measurement Error Correction for Brain Magnetic Resonance Image Segmentation.
.- Social Media Sentiment Analysis Using Regression Models for Quantitative Opinion Prediction.
.- Multimodal Human–Computer Interface: Integration of speech with gesture, handwriting, and other input modalities for biomedical applications.
.- AI-Augmented Feedback-Driven Weather Forecasting.
.- Multimodal Classification of Fake News in Indian Languages using Transfer Learning.
.- Cross Population Validation of Deep Learning Models for Diabetic Retinopathy Detection: Performance Analysis on Indian vs Western Dataset.
.- Emotional Feature Analysis for Irritable Bowel Syndrome using Machine Learning and Explainable AI.
.- Trend Analysis Based Recommender System for Cardiovascular Diseases.
.- Federated Deep Learning for Enhanced Pneumonia Detection Using Decentralized IR-Chest Motion and X-Ray Data.
.- Optimizing WBAN Lifespan: A GSO-Driven Routing Strategy for theTwo-Stage Capacity Allocation (TSCA) Scheme.
.- Continuous User Authentication Based on Keystroke Dynamics.
.- V2V Communication Using TraCI in SUMO.
.- Machine Learning-Based Forecasting of Air Pollutants and AQI Classification in India.
.- Geospatial Analysis of Urban Sprawl, Land Use, Traffic Patterns, and Water Resource Management in Coimbatore, India.
.- Real-Time Fabric Defect Detection Using YOLOv10 for IndustrialTextile Inspection.
.- LLaDA: Bridging Large Language Models and Diffusion Architectures.
.- Integration of Health Assessment and Growth Stage Classification in Roses with Deep Vision Models.
.- AI-Powered Legal Assistant and RAG-Based Case Retrieval System.
.- A Novel Statistical Masking Approach for Semantic Understanding in Pre-trained Language Models.
.- Hybrid Approaches to Facial Expression Recognition: Integrating Bag of Visual Words and Deep Learning for Improved Performance in Diverse Populations.
.- A High-Performance FPGA-Based Implementation of Convolutional Neural Networks.
.- Babesia Infection Detection using Microscopic Images with Butterfly Algorithm Optimized Deep Features.
.- Uncertainty-Aware Bayesian Neural Networks with Grey Wolf Optimizer for Multiclass Cardiovascular Risk Stratification.
.- Swarm Intelligence for Effective Mango Internal Defect Classification using NIR Spectroscopy Data.
.- Cluster-Based Tree Indexing of Meanings of Kannada Vachanas for Retrieval.
.- Explainable AI-Based Performance Analysis of Machine Learning Models for Image Classification Using Ensemble Feature Selection.
.- EEG-Based Human Emotion Recognition Using Hybrid CNN–BiLSTM.
.- Retrieval Augmented Generation for Legal Domain: Enhancing Legal Research Through Advanced NLP Techniques.
.- Safe Path Navigation for Planetary Rovers In Heterogeneous Terrain Using CVaR-A* Technique.
.- Enhanced AI-Driven Retail Inventory Optimization using Advanced Time Series Forecasting and Cost Simulation.
.- Identifying Outbreaks and Recalls: A Machine Learning Approach to Foodborne Incident Article Classification.
.- Democratising Prompt Optimisation: An Automated, Cost-Efficient Framework for LLM-Based Summarisation.
.- A Study on Blockchain Technology and Its Security.
.- Automatic Analysis of Healthy/Myopia Fundus Retinal Images using Individual/Fused/Ensemble Deep Features.
.- Post-Mortem Cattle Identification via Dentition Analysis in Calamity Response.
.- Approach towards Temporal Forecasting of Facial Growth in Children.
.- SWIN and CNN for Ox Age Estimation: Hybrid Model.
.- Attention-Enhanced Prototypical Networks for Hierarchical Variety Classification and Grading of Bunch-Level Banana.
.- Addressing the Challenges of Yoga Practice through Computer Vision.
.- Machine Learning Algorithm for Classifying Imbalanced Data through Weighted Class and Class Scoring.
.- Predicting Depression Through Social Media Behavior: Integrating Behavioral Features and Hybrid Methodologies.
.- Predicting Type 2 Diabetics by Coalescing Features.
.- Transparent AI-Powered Diagnostic Framework for Shrimp Disease Detection Using Multi-Class Deep Learning.
.- Towards Technology-enabled Inclusivity via Adaptive LMS for Visually Impaired Students.
.- Sarcasm Detection in Tamil: A Study of Traditional, Deep, and Ensemble Learning Approaches.
.- Early Pneumonia Detection and Risk Stratification Using Advanced Deep Learning Models on Chest X-Ray Imaging.
.- Exploring the Potential of Eye Movement Analytics for Cardiovascular Risk Assessment:A Novel Machine Learning Framework.
.- An efficient Lightweight CLAHE CNN Framework for Real-Time Facial Emotion Recognition.
.- Spectral-Spatial Temporal Feature Attention Network (S2-TFA) for Particulate Matter Prediction.
.- From a Healthy Heartbeat: Transferring Multimodal ECG-PCG Priors via a Hybrid Architecture for Cardiac Abnormality Detection.
.- Mapping of Cotton and Maize Cultivation Areas through Time-Series Analysis of Remote Sensing Data & ML Models.
.- MULTIBIOAUTHNET: A Unified Multimodal Biometric Authentication Framework with Attention-Guided Fusion and Secure Embedding.
.- Early Detection of Biotic Stress in Oryza Sativa Using Hyperspectral Imaging and a Recurrent-Convolutional Fusion Network.
.- ST-GraphEdgeNet: Multi-Camera Spatio-Temporal Graph Neural Network for Collaborative Edge-Based Traffic Congestion Propagation Analysis.
.- Towards Text-Based Diabetic Retinopathy Grading: Evaluating Florence-2 for Clinical Screening.