Muhammad Hamza Zafar
Orcid: 0000-0002-5025-2009
According to our database1,
Muhammad Hamza Zafar
authored at least 24 papers
between 2020 and 2024.
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Bibliography
2024
Transductive Transfer Learning-Assisted Hybrid Deep Learning Model for Accurate State of Charge Estimation of Li-Ion Batteries in Electric Vehicles.
IEEE Trans. Intell. Transp. Syst., October, 2024
Secure and privacy-preserving intrusion detection in wireless sensor networks: Federated learning with SCNN-Bi-LSTM for enhanced reliability.
Ad Hoc Networks, March, 2024
Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: A state-of-the-art review.
Robotics Comput. Integr. Manuf., 2024
Enhancing cybersecurity in Edge IIoT networks: An asynchronous federated learning approach with a deep hybrid detection model.
Internet Things, 2024
Enhancing unmanned ground vehicle performance in SAR operations: integrated gesture-control and deep learning framework for optimised victim detection.
Frontiers Robotics AI, 2024
Collaborative robots (cobots) for disaster risk resilience: a framework for swarm of snake robots in delivering first aid in emergency situations.
Frontiers Robotics AI, 2024
Real-Time Gesture-Based Control of a Quadruped Robot Using a Stacked Convolutional Bi-Long Short-Term Memory (Bi-LSTM) Neural Network.
Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024
Human Trajectory Simulation in Industrial Settings Using the Ornstein-Uhlenbeck Process and Deep Learning Based Classification.
Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024
Collaborative Robots (Cobots) for Emergency Situations: a Snake Robots as a Team Member for Delivering First Aid in Emergency Situations.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Multimodal Fusion of EEG and EMG Signals Using Self-Attention Multi-Temporal Convolutional Neural Networks for Enhanced Hand Gesture Recognition in Rehabilitation.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024
2023
A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models.
Array, September, 2023
Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-Based Deep Learning Model.
IEEE Access, 2023
Harmony Unleashed: Exploring the Ethical and Philosophical Aspects of Machine Learning in Human-Robot Collaboration for Industry 5.0.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Harnessing Digital Twins for Human-Robot Teaming in Industry 5.0: Exploring the Ethical and Philosophical Implications.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
From Rigid to Hybrid/Soft Robots: Exploration of Ethical and Philosophical Aspects in Shifting from Caged Robots to Human-Robot Teaming.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Online PID Tuning of a 3-DoF Robotic Arm Using a Metaheuristic Optimisation Algorithm: A Comparative Analysis.
Proceedings of the Information and Software Technologies - 29th International Conference, 2023
Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems.
Proceedings of the Artificial Intelligence and Soft Computing, 2023
2022
Forward Kinematic Modelling with Radial Basis Function Neural Network Tuned with a Novel Meta-Heuristic Algorithm for Robotic Manipulators.
Robotics, 2022
Autonomous UAV Path-Planning Optimization Using Metaheuristic Approach for Predisaster Assessment.
IEEE Internet Things J., 2022
A Review of the State-of-the-Art of Sensing and Actuation Technology for Robotic Grasping and Haptic Rendering.
Proceedings of the 5th International Conference on Information and Computer Technologies, 2022
2021
Artificial Neural Network (ANN) Trained by a Novel Arithmetic Optimization Algorithm (AOA) for Short Term Forecasting of Wind Power.
Proceedings of the Intelligent Technologies and Applications, 2021
A Novel Group Teaching Optimization Algorithm Based Artificial Neural Network for Classification.
Proceedings of the Intelligent Technologies and Applications, 2021
Short Term Hybrid PV/Wind Power Forecasting for Smart Grid Application using Feedforward Neural Network (FNN) Trained by a Novel Atomic Orbital Search (AOS) Optimization Algorithm.
Proceedings of the International Conference on Frontiers of Information Technology, 2021
2020
Eye and Voice-Controlled Human Machine Interface System for Wheelchairs Using Image Gradient Approach.
Sensors, 2020