Full Description
This book is a collection of peer-reviewed best-selected research papers presented at the Seventh International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2026), organized by Department of Computer Science and Engineering, National Institute of Technology, Jamshedpur, India, during January 15-16, 2026. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. The work is presented in two volumes.
Contents
Interpretable Satellite Image Analysis Using Retrieval-Augmented Generation and Vision‑Language Models.- DL‑IndiLang: A Deep Learning Framework for Indian Language Categorization.- A Hybrid Intelligent Model for Predicting Flight Departure Delay in Indian Aviation Sector.- A Hybrid CNN-Transformer Model with Spatial Attention for Brain Tumor Classification.- A Framework for Voice Synthesizer Using User-Provided Notations and Lyrics for Indian Classical Music with Efficient Preprocessing Pipeline.- Hybrid Shallow CNN Model for Image Splicing Detection.- Anti‑Rumor Context Integration: A Novel RAG System for Automated Factual Correction.- Leveraging Large Language Models (LLMs) for Enhanced Assessment and Interactive Learning: Advancements in AI-Based Educational Tools.- Leveraging GitHub Repository Insights and Profile Analytics for Career‑Aligned Placement Prediction Using Random Forest Classifier and KNN.- VideoQA: An Explainable Video Question Answering on Multi‑Camera Video Analysis.- Diffusion‑Based Super‑Resolution for Enhanced Diabetic Retinopathy Grading Using Fundus Images.- XAI‑Enabled Fraud Detection.- Novel Sustainable Conditions of Jewish Population‑Based Optimization Algorithm.- Enhancing House Price Prediction Through Multimodal Feature Fusion of Visual and Structural Attributes.- A Retinex‑Inspired Deep Learning Framework for Real‑Time Low‑Light Image Enhancement.- An Interpretable AI Approach for Predictive Vehicle Maintenance Using XGBoost with Explainable AI.- SmartGrid‑MMF: A Multi‑Module Framework for Forecasting and Fault Detection.- MLTRP‑XAI: Machine‑Learned Based Trustworthy Routing Protocol for Wireless Sensor Networks with Explainable AI Integration.- A Hybrid Approach for Enhanced Early Detection and Localization of Brain Tumors.- Texture‑Based Feature Extraction and CBAM‑Enhanced U‑Net for Automated Knee Osteoporosis Detection.- Legacy Oracle Systems to Snowflake Cloud Data Warehouse Migration of Healthcare Data Management.- Dual‑Dimensional Transformer in Remote Sensing: A Hyperspectral Image Classification Framework.- Towards Smart Agriculture: An Edge‑Based CNN and Transformer Architecture for Potato Leaf Disease Detection.- Intelligent QNN‑Driven Quantum Optimization for Real‑Time RIS Resource Allocation in 6G Networks.- A Deep Learning‑Based Framework for Crop‑Yield Prediction from Remote Sensing Data Using DCGAN Augmentation.- Anomalies in Google Play Data Safety Section: Sharing, Collection, and Compliance Risks.- Depth‑Guided ByteTrack Framework for Accurate Apple Counting and Tracking in Multilane Orchard Environments.- Prediction of Thyroid Disease Classification Using Transfer Learning Model: An Application of Machine Learning in Medicine.- An Imperceptible Image Steganography Framework Using Hybrid Saliency Maps and Chaotic Encryption.
