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Syed Muhammad Salman Bukhari
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2020 – today
- 2025
[j5]Syed Muhammad Salman Bukhari
, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo:
Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm. Array 26: 100401 (2025)
[j4]Nadia Dahmani
, Amril Nazir, Ikbal Taleb, Syed Muhammad Salman Bukhari
:
Reinforcement learning based intelligent optimisation for bin packing problems: A review. Array 28: 100616 (2025)
[j3]Syed Muhammad Salman Bukhari
, Nadia Dahmani, Sujan Gyawali, Muhammad Hamza Zafar, Filippo Sanfilippo
, Kiran B. Raja:
Optimizing fire detection in remote sensing imagery for edge devices: A quantization-enhanced hybrid deep learning model. Displays 89: 103070 (2025)
[c1]Nadia Dahmani, Syed Muhammad Salman Bukhari, Sujan Gyawali:
Federated Learning-Driven Hybrid TCN-Transformer Model for Accurate State of Charge Estimation in Electric Vehicles: A Multi-Scenario Study. VTC2025-Fall 2025: 1-6
[d1]Edmund Evangelista, Amril Nazir, Syed Muhammad Salman Bukhari, Nadia Dahmani, Dina Tbaishat, Ravi Sharma:
Zayed University Physiological Wellness Dataset 2025 (ZU-PWD '25). IEEE DataPort, 2025
- 2024
[j2]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)
[j1]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)
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