Machine Learning, Image Processing, Network Security and Data Sciences

7th International Conference, MIND 2025, Jaipur, India, December 12–14, 2025, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-31229-7
Verlag: Springer

Buch, Englisch, 530 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Verma, Gyanendra Kumar

Doriya, Rajesh

Buckchash, Himanshu

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie

Inhaltsverzeichnis

.- 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.