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 the 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.- Leveraging GitHub Repository Insights and Profile Analytics for Career-Aligned Placement Prediction.- VideoQA: 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.- A Retinex-Inspired Deep Learning Framework for Real-Time Low-Light Image Enhancement.- Interpretable AI for Predictive Vehicle Maintenance Using XGBoost.- SmartGrid-MMF: A Multi-Module Framework for Forecasting and Fault Detection.- MLTRP-XAI: Trustworthy Routing Protocol for Wireless Sensor Networks with Explainable AI.- A Hybrid Approach for 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.- Dual-Dimensional Transformer for Hyperspectral Image Classification.- Edge-Based CNN and Transformer Architectures for Potato Leaf Disease Detection.- QNN-Driven Quantum Optimization for Real-Time RIS Resource Allocation in 6G.- Deep Learning Framework for Crop Yield Prediction Using DCGAN-Based Augmentation.- Anomalies in Google Play Data Safety Section: Sharing, Collection, and Compliance Risks.- Depth-Guided ByteTrack Framework for Accurate Apple Counting in Multilane Orchards.- Thyroid Disease Classification Using Transfer Learning.- Imperceptible Image Steganography Using Hybrid Saliency Maps and Chaotic Encryption.
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- 電子書籍
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