Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, Advanced Malware Detection Techniques, and Network Security and Intrusion Detection.
Unlocking the potential of EEG in Alzheimer's disease research: Current status and pathways to precision detection
SAPEx-D: A Comprehensive Dataset for Predictive Analytics in Personalized Education Using Machine Learning
Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm
A Systematic Review on Fundus Image-Based Diabetic Retinopathy Detection and Grading: Current Status and Future Directions
A Human-Centered Approach to Academic Performance Prediction Using Personality Factors in Educational AI
Using 3D Hand Pose Data in Recognizing Human–Object Interaction and User Identification for Extended Reality Systems
Enhancing Recognition of Human–Object Interaction from Visual Data Using Egocentric Wearable Camera
Multimodal Religiously Hateful Social Media Memes Classification Based on Textual and Image Data
Plane invariant segmentation of computed tomography images through weighted cross entropy optimized conditional GANs in compressed formats
An intelligent timestamp data manipulation methodology for customer level resource efficient short-term electric load forecasting
Assessment of Human Personality Traits Using Smartphone Sensing
Classification of EEG Signals for Prediction of Epileptic Seizures
Malware Detection in Internet of Things (IoT) Devices Using Deep Learning
A Large-Scale Benchmark Dataset for Anomaly Detection and Rare Event Classification for Audio Forensics
Dark Web: E-Commerce Information Extraction Based on Name Entity Recognition Using Bidirectional-LSTM
Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment
Digital Forensics Analysis of IoT Nodes using Machine Learning
Impact of interpregnancy intervals on perinatal and neonatal outcomes in a multiethnic Pakistani population
An Automatic Breast Cancer Diagnostic System Based on Mammographic Images Using Convolutional Neural Network Classifier
Denial of Service (DoS) Defences against Adversarial Attacks in IoT Smart Home Networks using Machine Learning Methods
Multi-model Ensemble Based Approach for Heart Disease Diagnosis
Prediction of Electric Power Demand of HVACs for Operating Rooms in Case of Dynamic Set Points of Temperature: A Case Study
Achieving enhanced accuracy and strength performance with parallel programming for invariant affine point cloud registration
Class Incremental Learning for Visual Task using Knowledge Distillation
CPU-GPU Rendering of CT Scan Images for Vertebra Reconstruction from CT Scan Images with a Calibration Policy