Area of research
Computer Vision and Pattern Recognition · Automotive Engineering
Research interest
Research interests include Video Surveillance and Tracking Methods, Autonomous Vehicle Technology and Safety, Diabetes, Cardiovascular Risks, and Lipoproteins, and Image Retrieval and Classification Techniques.
Distributed denial of service detection and mitigation in software-defined networking-enabled software-defined wide area networks.
MonoTDF: Temporal deep feature learning for generalizable monocular 3D object detection
MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification.
Smart Aquaculture: Integrating Computer Vision and IoT for Automated Crayfish Health Assessment via Federated Learning
VITA: Revolutionizing Traffic Analysis for Autonomous Vehicles With CVT and Encoder-Decoder Integration
Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers
Automatic Transportation Mode Classification Using a Deep Reinforcement Learning Approach With Smartphone Sensors
Digital forensics for the socio-cyber world (DF-SCW): A novel framework for deepfake multimedia investigation on social media platforms
Data Security Utilizing a Memristive Coupled Neural Network in 3D Models
Colon and lung cancer classification from multi-modal images using resilient and efficient neural network architectures.
Advancing Bankruptcy Forecasting With Hybrid Machine Learning Techniques: Insights From an Unbalanced Polish Dataset
A Systematic Literature Review on the Security Attacks and Countermeasures Used in Graphical Passwords
Integration of Federated Learning and Edge-Cloud Platform for Precision Aquaculture
A Post-Stroke Rehabilitation System With Compensatory Movement Detection Using Virtual Reality and Electroencephalogram Technologies
An intrusion detection model to detect zero-day attacks in unseen data using machine learning.
Preventing 51% Attack by Using Consecutive Block Limits in Bitcoin
Integrating OpenPose and SVM for Quantitative Postural Analysis in Young Adults: A Temporal-Spatial Approach.
Corrections to “A Systematic Literature Review on the Security Attacks and Countermeasures Used in Graphical Passwords”
A Systematic Literature Review of Information Security in Chatbots
<i>R</i>
<sup>3</sup>—Rescale, Rotate, and Randomize: A Novel Image Cryptosystem Utilizing Chaotic and Hyper-Chaotic Systems
Hyperchaotic Maps and the Single Neuron Model: A Novel Framework for Chaos-Based Image Encryption
A Systematic Literature Review of Vehicle Routing Problems with Time Windows
Artificial Intelligence-Enabled Game-Based Learning and Quality of Experience: A Novel and Secure Framework (B-AIQoE)
Deep-Learning-Based Classification of Bangladeshi Medicinal Plants Using Neural Ensemble Models
Improving Stock Market Predictions: An Equity Forecasting Scanner Using Long Short-Term Memory Method with Dynamic Indicators for Malaysia Stock Market
Improved Golden Jackal Optimization for Optimal Allocation and Scheduling of Wind Turbine and Electric Vehicles Parking Lots in Electrical Distribution Network Using Rosenbrock’s Direct Rotation Strategy
The Bitcoin Halving Cycle Volatility Dynamics and Safe Haven-Hedge Properties: A MSGARCH Approach
An Improved Artificial Ecosystem-Based Optimization Algorithm for Optimal Design of a Hybrid Photovoltaic/Fuel Cell Energy System to Supply A Residential Complex Demand: A Case Study for Kuala Lumpur
Enabling IoT Service Classification: A Machine Learning-Based Approach for Handling Classification Issues in Heterogeneous IoT Services
Hyperchaotic Maps and the Single Neuron Model: A Novel Framework for Chaos-Based Image Encryption