Machine Learning, Image Processing, Network Security and Data Sciences
Description
This two-volume set CCIS 2980-2981 constitutes the revised selected papers of the 7th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2025, held in Jaipur, India, during December 12-14, 2025.
The 84 full papers included in these volumes were carefully reviewed and selected from 406 submissions. They are organized in topical sections as follows: They are organized in topical sections as follows: Artificial Intelligence and Intelligent Systems; and Networks and Communication Systems.
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Content
.- GESTURE TO SPEECH FOR REGIONAL LANGUAGE.
.- A Multimodal Approach for Early Alzheimer's Risk Prediction.
.- Enhancing Multimodal Skin Cancer Detection Using Bi-directional Cross-Attention
Between Clinical Metadata and Extracted Image Features.
.- AI-Driven Speed Optimization for Mixed Traffic Networks Using Adaptive Learning.
.- Robust Watermarking Approach using Adaptive STDM.
.- Mental Health Prediction using Artificial Intelligence: A Comparative Ensemble
Learning Approach for Early Student Intervention.
.- An Efficient Residential Appliance Scheduling using Flower Pollination Algorithm
for Cost Optimization.
.- A Cost Effective Solution to Appliance Scheduling using Genetic Algorithm with
Precedence Preservation.
.- Precision Crop Monitoring with YOLOv9: A Deep Learning Approach for Detecting
Marigold Plant Growth and Health.
.- LAMHT-Net: Lesion-Aware Multi-scale Hybrid Transformer Network for diabetic
retinopathy classification.
.- AI Powered Detection of Fraud in Banking using Behavioural Patterns.
.- A Hybrid Multimodal and Multi-Criteria System for Contextualized Plagiarism
Detection in Academic Works.
.- Salt and Pepper Noise Removal Algorithm using Interpolation Substitution Method.
.- QRadX-KOA: A RadImageNet Driven Quantum Transfer Learning Framework for
Kellgren--Lawrence Grading of Knee Osteoarthritis.
.- Physics-Constrained Diffusion Models for Renewable Microgrid Topology Design.
.- HepatoGraph: A Graph Neural Network Framework for Cross Cohort Biomarker
Discovery in Hepatocellular Carcinoma.
.- Benchmarking Transformer Architectures for Multi-Horizon Industrial Load
Forecasting: A Large-Scale Study with Weather Integration.
.- An Intelligent Hybrid Framework Combining DNN MCTS and GNN for Robust
Ransomware Detection.
.- VARK-Based Cognitive Tutor Using RAG and Groq Llama 3.3.
.- Automated Evaluation System for Handwritten Answer Scripts Using AI.
.- An Empirical Evaluation of Adversarial Attacks and Defences on Large Language
Models.
.- Fed-NODE: Federated Learning based Threat Detection Framework for Edge
based Industrial Internet of Things.
.- SWIM-Conv-FFT: A Dual-Domain Hybrid Framework for Robust Deepfake
Detection Across Social Media Platforms.
.- DINO-Pose: Unlocking the DINOv3 Foundation Model for Human Pose Estimation.
.- AI-Powered Real-Time Claim Denial Blocker with Blockchain Audit.
.- Comparative Analysis of Skeleton-Based Pose Estimation Models for Human
Activity Recognition Using CNN-LSTM.
.- MAVIS: End-to-End System for Image provenance and integrity verification using
TEEs and Steganographic techniques.
.- From Incidents to Prediction: A Multimodal Spatio-Temporal Graph Transformer
for Traffic Forecasting using XTraffic-2023.
.- Dropout-Inspired Selective Fine-Tuning for Transfer Learning.
.- Networks and Communication Systems.
.- Evaluation of Non-Orthogonal Multiple Access Schemes in mmWave 6G Networks
Under Varying Fading Conditions and User Demands.
.- CUPS: Detection of Coexisting and Unused Permissions in Android Apps.
.- Federated Learning for Sustainable AI: Privacy-Preserving and Decentralized
Intelligence.
.- ObfusFinder: A Framework for Identifying Obfuscated Code in Android
Applications.
.- A Scalable and Trustworthy Consensus Mechanism based on Proof of Reputation
and Machine Learning for Blockchain.
.- Security-aware Resource Constraints in Cyber Physical Systems: A Simulation
based Performance Analysis.
.- Learning Multi-Scale Representations with Attention-Driven Feature-Structure
Fusion for Link Prediction in complex networks.
.- POGKM-EOUS: A Performance-Optimized Polynomial-Based Group Key
Management with Efficient Offline User Synchronization.
.- In-Kernel Heavy Hitter Detection using eBPF-based Bubble Sketch Variants.
.- Adaptive Transfer Learning for Field-Based Lentil Disease Detection.
.- Quantum Clock Synchronisation in Underwater Environments for Ultra-High
Precision Timing.
.- BOCORP: Buffer Overflow and Cache Occupancy Aware Routing Protocol for
SDWSN.