Machine Learning, Image Processing, Network Security and Data Sciences : 7th International Conference, MIND 2025, Jaipur, India, December 12-14, 2025, Proceedings, Part II.DE (Communications in Computer and Information Science)

Verma, Gyanendra Kumar (EDT)/ Doriya, Rajesh (EDT)/ Buckchash, Himanshu (EDT)

Springer, Berlin; Springer Nature Switzerland; Springer（2026/08発売）

• 製本 Paperback:紙装版/ペーパーバック版
• 商品コード 9783032312297

Full 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.

Contents

.- 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.