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ORCIDSyed Kumayl Raza Moosavi
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Journal Articles
- 2024
[j10]Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar
, Mohamad Abou Houran, Syed Kumayl Raza Moosavi, Majad Mansoor, Muhammad Muaaz, Filippo Sanfilippo:
Secure and privacy-preserving intrusion detection in wireless sensor networks: Federated learning with SCNN-Bi-LSTM for enhanced reliability. Ad Hoc Networks 155: 103407 (2024)- [j9]Syed Kumayl Raza Moosavi, Ahsan Saadat, Zainab Abaid, Wei Ni, Kai Li, Mohsen Guizani:
Feature selection based on dataset variance optimization using Hybrid Sine Cosine - Firehawk Algorithm (HSCFHA). Future Gener. Comput. Syst. 155: 272-286 (2024) - [j8]Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Filippo Sanfilippo:
Collaborative robots (cobots) for disaster risk resilience: a framework for swarm of snake robots in delivering first aid in emergency situations. Frontiers Robotics AI 11 (2024) - [j7]Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo:
Enhancing unmanned ground vehicle performance in SAR operations: integrated gesture-control and deep learning framework for optimised victim detection. Frontiers Robotics AI 11 (2024) - [j6]Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Mohamad Abou Houran, Zakria Qadir, Syed Kumayl Raza Moosavi, Filippo Sanfilippo:
Enhancing cybersecurity in Edge IIoT networks: An asynchronous federated learning approach with a deep hybrid detection model. Internet Things 27: 101252 (2024) - [j5]Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Ahsan Saadat, Zainab Abaid, Wei Ni, Abbas Jamalipour, Filippo Sanfilippo:
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. 25(10): 14445-14459 (2024) - 2023
- [j4]Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Filippo Sanfilippo, Malik Naveed Akhter, Shahzaib Farooq Hadi:
Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-Based Deep Learning Model. IEEE Access 11: 116860-116878 (2023) - [j3]Hassan Mohyuddin, Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Filippo Sanfilippo:
A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models. Array 19: 100317 (2023) - 2022
- [j2]Zakria Qadir, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Khoa N. Le, M. A. Parvez Mahmud:
Autonomous UAV Path-Planning Optimization Using Metaheuristic Approach for Predisaster Assessment. IEEE Internet Things J. 9(14): 12505-12514 (2022) - [j1]Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Filippo Sanfilippo:
Forward Kinematic Modelling with Radial Basis Function Neural Network Tuned with a Novel Meta-Heuristic Algorithm for Robotic Manipulators. Robotics 11(2): 43 (2022)
Conference and Workshop Papers
- 2024
- [c6]Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Filippo Sanfilippo:
Collaborative Robots (Cobots) for Emergency Situations: a Snake Robots as a Team Member for Delivering First Aid in Emergency Situations. HICSS 2024: 443-452 - 2023
- [c5]Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Seyedali Mirjalili, Filippo Sanfilippo:
Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems. ICAISC (1) 2023: 427-438 - [c4]Muhammad Hamza Zafar, Hassaan Bin Younis, Syed Kumayl Raza Moosavi, Majad Mansoor, Filippo Sanfilippo:
Online PID Tuning of a 3-DoF Robotic Arm Using a Metaheuristic Optimisation Algorithm: A Comparative Analysis. ICIST 2023: 25-37 - 2022
- [c3]Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Filippo Sanfilippo:
A Review of the State-of-the-Art of Sensing and Actuation Technology for Robotic Grasping and Haptic Rendering. ICICT 2022: 182-190 - 2021
- [c2]Syed Kumayl Raza Moosavi, Hassaan Bin Younis, Muhammad Hamza Zafar, Malik Naveed Akhter, Shahzaib Farooq Hadi, Haider Ali:
A Novel Group Teaching Optimization Algorithm Based Artificial Neural Network for Classification. INTAP 2021: 58-70 - [c1]Muhammad Hamza Zafar, Noman Mujeeb Khan, Syed Kumayl Raza Moosavi, Majad Mansoor, Adeel Feroz Mirza, Naureen Akhtar:
Artificial Neural Network (ANN) Trained by a Novel Arithmetic Optimization Algorithm (AOA) for Short Term Forecasting of Wind Power. INTAP 2021: 197-209
Coauthor Index
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