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ORCIDFehaid Alqahtani
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2020 – today
- 2024
[j7]Muhammad Zakir Khan, Muhammad Farooq, Ahmad Taha, Adnan Qayyum, Fehaid Alqahtani, Adnan Nadeem AlHassan, Kamran Arshad, Khaled Assaleh, Shuja Ansari, Muhammad Usman
, Muhammad Ali Imran, Qammer H. Abbasi:
Chapter Three - Indoor localization technologies for activity-assisted living: Opportunities, challenges, and future directions. Adv. Comput. 133: 59-98 (2024)- 2023
- [j6]Miguel Arevalillo-Herráez, Stamos Katsigiannis, Fehaid Alqahtani, Pablo Arnau-González:
Fusing ECG signals and IRT models for task difficulty prediction in computerised educational systems. Knowl. Based Syst. 280: 111052 (2023) - 2022
- [j5]Fehaid Alqahtani, Mostafa Abotaleb, Ammar Kadi, Tatiana Makarovskikh, Irina Potoroko, Khder Alakkari, Amr Badr:
Hybrid Deep Learning Algorithm for Forecasting SARS-CoV-2 Daily Infections and Death Cases. Axioms 11(11): 620 (2022) - 2021
- [j4]Zil E. Huma, Shahid Latif, Jawad Ahmad, Zeba Idrees, Anas Ibrar, Zhuo Zou, Fehaid Alqahtani, Fatmah Baothman:
A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things. IEEE Access 9: 55595-55605 (2021) - [j3]Andrew Churcher, Rehmat Ullah, Jawad Ahmad, Sadaqat ur Rehman, Fawad Masood, Mandar Gogate, Fehaid Alqahtani, Boubakr Nour, William J. Buchanan:
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks. Sensors 21(2): 446 (2021) - [j2]Muhammad Umair, Muhammad Shahbaz Khan, Fawad Ahmed, Fatmah Baothman, Fehaid Alqahtani, Muhammad Alian, Jawad Ahmad:
Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset. Sensors 21(17): 5813 (2021) - [c4]Umer Saeed, Fehaid Alqahtani, Fatmah Baothman, Syed Yaseen Shah, Syed Ikram Shah, Syed Salman Badshah, Muhammad Ali Imran, Qammer H. Abbasi, Syed Aziz Shah:
Monitoring Discrete Activities of Daily Living of Young and Older Adults Using 5.8 GHz Frequency Modulated Continuous Wave Radar and ResNet Algorithm. BODYNETS 2021: 28-38 - [i2]Andrew Churcher, Rehmat Ullah, Jawad Ahmad, Sadaqat ur Rehman, Fawad Masood, Mandar Gogate, Fehaid Alqahtani, Boubakr Nour, William J. Buchanan:
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks. CoRR abs/2101.12270 (2021) - [i1]Kathryn-Ann Tait, Jan Sher Khan, Fehaid Alqahtani, Awais Aziz Shah, Fadia Ali Khan, Mujeeb Ur Rehman, Wadii Boulila, Jawad Ahmad:
Intrusion Detection using Machine Learning Techniques: An Experimental Comparison. CoRR abs/2105.13435 (2021) - 2020
- [c3]Shahtaj Shaukat, Arshid Ali, Amreen Batool, Fehaid Alqahtani, Jan Sher Khan, Arshad Ali, Jawad Ahmad:
Intrusion Detection and Attack Classification Leveraging Machine Learning Technique. IIT 2020: 198-202
2010 – 2019
- 2019
- [j1]Fehaid Alqahtani, Naeem Ramzan:
Comparison and Efficacy of Synergistic Intelligent Tutoring Systems with Human Physiological Response. Sensors 19(3): 460 (2019) - [c2]Fehaid Alqahtani, Stamos Katsigiannis, Naeem Ramzan:
On the use of ECG and EMG Signals for Question Difficulty Level Prediction in the Context of Intelligent Tutoring Systems. BIBE 2019: 392-396 - [c1]Fehaid Alqahtani, Stamos Katsigiannis, Naeem Ramzan:
ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems. UCET 2019: 1-4
Coauthor Index
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last updated on 2024-08-25 19:08 CEST by the dblp team
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