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).

• Erscheinungsdatum: 17.09.2026
• Autor/Autorin: Gyanendra Kumar Verma
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 65.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 570 Seiten
• ISBN: 9783032312334
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.