Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Mohammad Al-Fawa'reh"'
1
Akademický článek
Cyber threat intelligence using PCA-DNN model to detect abnormal network behavior
Autor: Mohammad Al-Fawa'reh, Mustafa Al-Fayoumi, Shadi Nashwan, Salam Fraihat
Publikováno v: Egyptian Informatics Journal, Vol 23, Iss 2, Pp 173-185 (2022)
Security issues are the most critical challenges facing new technologies associated with the internet of things (IoT), big data, and cloud computing. A secure and efficient intrusion detection system (IDS) is crucial to detect security threats. Exist
Externí odkaz: https://doaj.org/article/676b8ec4f8044c98bca4e4e0aaa27d0c
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2
Akademický článek
DFT-MF: Enhanced deepfake detection using mouth movement and transfer learning
Autor: Ammar Elhassan, Mohammad Al-Fawa'reh, Mousa Tayseer Jafar, Mohammad Ababneh, Shifaa Tayseer Jafar
Publikováno v: SoftwareX, Vol 19, Iss , Pp 101115- (2022)
Deepfake technology presents serious cybersecurity challenges that have become more prevalent with the availability of easily accessible applications. An effective method for detection and prevention of this is necessary. This paper introduces a robu
Externí odkaz: https://doaj.org/article/4427a5f38a23479f8d9f990c93002a2a
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3
Akademický článek
Enhanced Heart Rate Prediction Model Using Damped Least-Squares Algorithm
Autor: Angela An, Mohammad Al-Fawa’reh, James Jin Kang
Publikováno v: Sensors, Vol 22, Iss 24, p 9679 (2022)
Monitoring a patient’s vital signs is considered one of the most challenging problems in telehealth systems, especially when patients reside in remote locations. Companies now use IoT devices such as wearable devices to participate in telehealth sy
Externí odkaz: https://doaj.org/article/03047a42518c4123b55d7411f94ad29f
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4
Enhancеd Analysis Approach to Detect Phishing Attacks During COVID-19 Crisis
Autor: Mousa Tayseer Jafar, Mohammad Al-Fawa’reh, Malek Barhoush, Mohammad H. Alshira’H
Publikováno v: Cybernetics and Information Technologies. 22:60-76
Public health responses to the COVID-19 pandemic since March 2020 have led to lockdowns and social distancing in most countries around the world, with a shift from the traditional work environment to virtual one. Employees have been encouraged to wor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8ccafed94cd9d92489f90a3dc6173ffc
https://doi.org/10.2478/cait-2022-0004
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6
Enhanced Epileptic Seizure diagnosis using EEG Signals with Support vector machine and Bagging Classifiers
Autor: Rana Alrawashdeh, Mohammad Al-Fawa'reh, Wail Mardini
Publikováno v: International Journal of Communication Networks and Information Security (IJCNIS). 13
Many approaches have been proposed using Electroencephalogram (EEG) to detect epilepsy seizures in their early stages. Epilepsy seizure is a severe neurological disease. Practitioners continue to rely on manual testing of EEG signals. Artificial inte
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c595bd3e2e9cdc84bfa43b6cb9872948
https://doi.org/10.17762/ijcnis.v13i3.5114
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10
Intelligent Methods for flood forecasting in Wadi al Wala, Jordan
Autor: Alaa Hawamdeh, Mousa Tayseer Jafar, Rana Al-Rawashdeh, Mohammad Al-Fawa'reh
Publikováno v: 2021 International Congress of Advanced Technology and Engineering (ICOTEN).
Increasing water scarcity and rising demand throughout the Middle East and North Africa pose a major problem, and flood forecasting has been an open issue for a long time, attracting significant attention. Jordan seeks to use smart methods to solve t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ef01a1b4fceec4c2b39e803ee5eac6d6
https://doi.org/10.1109/icoten52080.2021.9493425
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