Qazi Mazhar ul Haq
Orcid: 0000-0002-1302-7689
According to our database1,
Qazi Mazhar ul Haq authored at least 27 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Adversarial Training-Based Convolutional Neural Network Fault Diagnosis for Bearings with Random Perturbation.
Clust. Comput., August, 2026
IEEE Access, 2026
EchoMind: A VR-Based Conversational Agent for Social Skill Training in a Simulated Environment.
Proceedings of the IEEE International Conference on Consumer Electronics, 2026
Energy-Efficient Path Planning and Task Scheduling for UAV-Assisted Wireless Networks via Double Dueling Deep Q-Networks with LSTM.
Proceedings of the 23rd Consumer Communications & Networking Conference, 2026
2025
SDN-Driven Multi-Objective Task Offloading in IoT-Enabled UAVs in Edge-Cloud Computing Using Double DQN.
IEEE Trans. Consumer Electron., November, 2025
SDN-Assisted Spatial Encoded Sequence Enabled BLSTM-Based Zero-Trust Anomaly Detection Model for Consumer Electronics of Smart Cities.
IEEE Trans. Consumer Electron., November, 2025
EGPT-SPE: story point effort estimation using improved GPT-2 by removing inefficient attention heads.
Appl. Intell., October, 2025
A Secure AI Framework for Intelligent Traffic Prediction and Routing in SDN-Based Consumer Internet of Things.
IEEE Trans. Consumer Electron., May, 2025
Synchronous Extraction of Cage and Inner Ring Rotational Frequencies in Aircraft Bearings via Weak Magnetic Fields and Adaptive Ridge Extraction for Cage Slip Monitoring.
IEEE Trans. Instrum. Meas., 2025
Practical Applications of Artificial Intelligence: A Sector-Wise Review of Challenges and Future Directions.
IT Prof., 2025
Hybrid CNN-LSTM Model for DDoS Attack Detection in Internet of Things-Based Healthcare Industry 5.0.
IEEE Internet Things J., 2025
Back and Forward Incremental Learning Through Knowledge Distillation for Object Detection Unmanned Aerial Vehicles.
IEEE Access, 2025
Proceedings of the 2025 7th International Conference on Image, Video and Signal Processing, 2025
2024
An SDN-AI-Based Approach for Detecting Anomalies in Imbalance Data Within a Network of Smart Medical Devices.
IEEE Consumer Electron. Mag., November, 2024
2023
A deep learning-based framework to identify and characterise heterogeneous secure network traffic.
IET Inf. Secur., March, 2023
Episodic memory based continual learning without catastrophic forgetting for environmental sound classification.
J. Ambient Intell. Humaniz. Comput., 2023
Unsupervised Cross-Domain Adaptation through Mutual Mean Learning and GANs for Person Re-identification.
Proceedings of the 3rd International Conference on Artificial Intelligence, 2023
2022
One Stage Monocular 3D Object Detection Utilizing Discrete Depth and Orientation Representation.
IEEE Trans. Intell. Transp. Syst., 2022
A Hybrid Hand-Crafted and Deep Neural Spatio-Temporal EEG Features Clustering Framework for Precise Emotional Status Recognition.
Sensors, 2022
Utilizing incremental branches on a one-stage object detection framework to avoid catastrophic forgetting.
Mach. Vis. Appl., 2022
An edge-aware based adaptive multi-feature set extraction for stereo matching of binocular images.
J. Ambient Intell. Humaniz. Comput., 2022
Task Incremental Learning With Static Memory for Audio Classification Without Catastrophic Interference.
IEEE Consumer Electron. Mag., 2022
An Incremental Learning of YOLOv3 Without Catastrophic Forgetting for Smart City Applications.
IEEE Consumer Electron. Mag., 2022
IEEE Consumer Electron. Mag., 2022
2020
Continual Learning Strategy in One-Stage Object Detection Framework Based on Experience Replay for Autonomous Driving Vehicle.
Sensors, 2020