Area of research
Computer Networks and Communications · Computer Vision and Pattern Recognition
Research interest
Research interests include IoT and Edge/Fog Computing, Energy Efficient Wireless Sensor Networks, Context-Aware Activity Recognition Systems, and Network Security and Intrusion Detection.
Sustainable Healthcare With Explainable and Energy‐Efficient Ensemble Machine Learning for Chronic Kidney Disease Prediction
Leveraging Multimodal LLMs and Metaverse Technologies for Early Diagnosis of Elderly Diseases
Novel Nyquist-I filter to reduce PAPR for SC-FDMA scheme
Integrating Granular Pattern Discovery With Collaborative Ranking: A Novel Hybrid Framework for Enhanced Recommendation Systems
Vision‐Based Pattern Recognition for Tool Failure Prediction in
<scp>IoRT</scp>
‐Connected Industrial Manipulators
Offensive Language Detection for Low Resource Language Using Deep Sequence Model
Real-Time Fake News Detection Using Big Data Analytics and Deep Neural Network
Al‐based energy aware parent selection mechanism to enhance security and energy efficiency for smart homes in Internet of Things
Enhancing <scp>COVID</scp>‐19 misinformation detection through novel attention mechanisms in <scp>NLP</scp>
Diagnosing Osteoporosis in Postmenopausal Females Using Machine Learning and AdaBoostM1 Algorithm Based on Bone Mineral Density
A Multilayer Deep Learning Approach for Malware Classification in 5G-Enabled IIoT
Deep Learning-Based Intrusion Detection System for Internet of Vehicles
The influence of key reactions during hydrothermal carbonization of sewage sludge on aqueous phase properties: A review
Toward Smart Manufacturing Using Spiral Digital Twin Framework and Twinchain
A Multilayer Deep Learning Approach for Malware Classification in 5G-Enabled IIoT
Authorization schemes for internet of things: requirements, weaknesses, future challenges and trends
A social qualitative trust framework for Fog computing
Preserving Privacy of High-Dimensional Data by l-Diverse Constrained Slicing
Deep Learning-Based Intrusion Detection System for Internet of Vehicles
IoT-based crowd monitoring system: Using SSD with transfer learning
An IoT-Based Deep Learning Framework for Early Assessment of Covid-19.
A novel trust management model for edge computing
Background subtraction in videos using LRMF and CWM algorithm
An IoT-Based Deep Learning Framework for Early Assessment of Covid-19
Toward Smart Manufacturing Using Spiral Digital Twin Framework and Twinchain
Top view multiple people tracking by detection using deep SORT and YOLOv3 with transfer learning: within 5G infrastructure
Beaconless Traffic-Aware Geographical Routing Protocol for Intelligent Transportation System
Beaconless Traffic-Aware Geographical Routing Protocol for Intelligent Transportation System
Countering Malicious URLs in Internet of Things Using a Knowledge-Based Approach and a Simulated Expert
Defining Service-Oriented Trust Assessment for Social Internet of Things