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Mohammad Al-Fawa'reh
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2020 – today
- 2024
- [j5]Mohammad Al-Fawa'reh, Jumana Abu-Khalaf, Patryk Szewczyk, James Jin Kang:
MalBoT-DRL: Malware Botnet Detection Using Deep Reinforcement Learning in IoT Networks. IEEE Internet Things J. 11(6): 9610-9629 (2024) - 2022
- [j4]Angela An, Mohammad Al-Fawa'reh, James Jin Kang:
Enhanced Heart Rate Prediction Model Using Damped Least-Squares Algorithm. Sensors 22(24): 9679 (2022) - [j3]Ammar Elhassan, Mohammad Al-Fawa'reh, Mousa Tayseer Jafar, Mohammad Ababneh, Shifaa Tayseer Jafar:
DFT-MF: Enhanced deepfake detection using mouth movement and transfer learning. SoftwareX 19: 101115 (2022) - 2021
- [j2]Rana Al-Rawashdeh, Mohammad Al-Fawa'reh, Wail Mardini:
Enhanced Epileptic Seizure diagnosis using EEG Signals with Support vector machine and Bagging Classifiers. Int. J. Commun. Networks Inf. Secur. 13(3) (2021) - [j1]Rana Al-Rawashdeh, Mohammad Al-Fawa'reh, Wail Mardini:
Enhanced Epileptic Seizure diagnosis using EEG Signals with Support vector machine and Bagging Classifiers. Int. J. Commun. Networks Inf. Secur. 13(3) (2021) - [c3]Rana Faek, Mohammad Al-Fawa'reh, Mustafa Al-Fayoumi:
Exposing Bot Attacks Using Machine Learning and Flow Level Analysis. DATA 2021: 99-106 - 2020
- [c2]Mohammad Al-Fawa'reh, Amal Saif, Mousa Tayseer Jafar, Ammar Elhassan:
Malware Detection by Eating a Whole APK. ICITST 2020: 1-7 - [c1]Zein Ashi, Laila Aburashed, Mohammad Al-Fawa'reh, Malik Qasaimeh:
Fast and Reliable DDoS Detection using Dimensionality Reduction and Machine Learning. ICITST 2020: 1-10
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last updated on 2024-06-10 21:20 CEST by the dblp team
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