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).