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Produktbild: Machine Learning, Image Processing, Network Security and Data Sciences
Band 2980

Machine Learning, Image Processing, Network Security and Data Sciences 7th International Conference, MIND 2025, Jaipur, India, December 12–14, 2025, Proceedings, Part I

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Beschreibung

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...

Beschreibung

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: Artificial Intelligence and Intelligent Systems; and Networks and Communication Systems.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.09.2026

Abbildungen

XVII, 570 p. 234 illus., 206 illus. in color.

Herausgeber Gyanendra Kumar Verma + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.09.2026

Abbildungen

XVII, 570 p. 234 illus., 206 illus. in color.

Herausgeber
Verlag Springer
Seitenzahl

570

Maße (L/B/H)

23,5/15,5/3,2 cm

Gewicht

879 g

Sprache

Englisch

ISBN

978-3-032-31232-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Machine Learning, Image Processing, Network Security and Data Sciences
  • .- Artificial Intelligence and Intelligent Systems.

    .- Visual and Local Explanations for Trustworthy AI for Autism Detection for Asian Data.

    .- Hybrid Graph–Language Embedding Framework for Citation-Aware Sentiment 

    Analysis.

    .- AI-driven Anomaly Detection in Avionics Systems using Isolation Forest.

    .-  Integrating Postmortem Reports and Embedding Techniques for Fault Prediction.

    .- Coverage  Precision  and Fairness in Association-Rule Mining: Evidence from 

    Treadmill.

    .-  Demonstrating Quantum Advantage in GANs: A Comparative Study on Diabetes 

    Healthcare Data.

    .-  A Hybrid Deep Learning Approach for Automated Plant Disease Diagnosis in Indian 

    Ridge Gourd: Dataset Creation and Real-World Application.

    .- Experimental Study on Tea Plant Disease Classification.

    .- Multiscale Recursive Attention Guided Deep Feature Fusion Network for Haze 

    Removal.

    .- Deepfake Video Detection using CNN Deep Learning Architectures.

    .- Crop-Specific Hyperparameter Optimization for Machine Learning-Based Yield 

    Prediction of Kharif Crops: Rice  Wheat  and Maize.

    .- Enhancing Real-Time Through-Wall Imaging with a Hybrid Signal Processing and 

    Convolutional Neural Network Approach.

    .- Advanced Kalman Filtering for Video-Based Tremor Assessment in Parkinson’s 

    Chapter 1. Disease: Comparative Analysis with Deep Learning Classification.

    .- LightGraph: Efficient Multi-modal Sparse Graph Attention Network for Crisis 

    Tweet Classification.

    .-  TTMFN: A Time-aware Transformer-based Multimodal Fusion Network for 

    Depression Detection from Social Media.

    .- Synthetic Images Generation for Skin Cancer Using Conditional Generative 

    Adversarial Network with Explanation.

    .- Evaluating Privacy Risks in Machine Unlearning: A Comprehensive Audit of 

    Unlearned and Retained Samples.

    .- Adaptive Edge-Cloud Orchestration: A Serverless Paper on Intelligent ML 

    Application Placement with Hybrid Resource Feedback.

    .-  Explainable Mortality Outcome Prediction Using Neuro-Symbolic Causal 

    Reasoning.

    .-  Enhanced Class Imbalance-Aware Skin Cancer Classification.

    .- Glaucoma detection using deep learning.

    .- Temporal Stability in Semi-Supervised Label Propagation: A Lightweight 

    Regularization Framework.

    .- Enhancing Cardiovascular Care Using IoT Data and CatBoost Machine Learning 

    Model.

    .-  Image-Based Multi-Class Classification of Diabetic Retinopathy Using Deep 

    Learning.

    .-  MoTANet: A Hybrid MobileNetV2–Transformer Attention Network for Multi-Crop 

    Disease Classification.

    .- Ano-HQNN: Hybrid Quantum Neural Network for Enhanced Anomaly Detection in 

    Surveillance Videos.

    .-  Efficient Handwriting Recognition for Person  Identification Using Lightweight 

    and Deep CNN  Model.

    .- Choosing the Right Optimizer and Loss Function: A Deep Learning Perspective on 

    Hyperspectral Image Classification.

    .- A Lightweight LiDAR-Only Path Planning Framework for Formula Student 

    Driverless Racecar.

    .-  Bridging the Communication Divide: Sign  Language in Online Meetings  Kulkarni.

    .- Transformer-Enhanced Residual U-Net for Automated Dental Plaque 

    Segmentation in Clinical Intraoral Imagery.

    .- DEV3NET: A Two-Stage Deep Learning Approach for Automated Occlusion Mask 

    Generation and Facial Segmentation.

    .- Deepfake Face Detection using an Ensemble of Multiple Deep Learning Models  

    Kavad  Meet.

    .-  Knowledge-Grounded Canonical SMILES Generation via RAG-enhanced Large 

    Language Models.

    .- A Mastery-Guided Retrieval-Augmented Generation for Grounded Tutoring.

    .-  Data-Driven Rockfall Assessment using Synthetic Training and CNN–XGBoost 

    Integration.

    .- SpeechComp-FSQ: A Transformer-Based Model for Efficient Speech Compression.

    .- Ensemble Deep Learning with a Trainable Meta-Learner for Enhanced Semantic 

    Segmentation of Informal Settlements.

    .- Linguistic Network Analysis of Psychopathology Dimensions in Adolescence: A 

    Cognitive Neuropsychological Approach.

    .-  Cross Attentive Multimodal Fusion Network Using Deep Learning Models and 

    Transformers for Driver Drowsiness Detection.

    .- Human Pose Estimation for Cricket Shot Classification: Machine Learning and 

    Deep Learning Perspectives.

    .-  Automated Seizure Classification from Raw Intracranial EEG Using a Transformer 

    Encoder.

    .-  A Multi-Metric Decomposed Mode Selection for Phase-Based EEG Recurrence 

    Analysis in Major Depressive Disorder (INVITED).