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Miad Faezipour
University of Bridgeport
115Publications
15H-index
845Citations
Publications 115
Newest
Published on Mar 29, 2019
Mohammad Daneshzand3
Estimated H-index: 3
,
Miad Faezipour15
Estimated H-index: 15
,
Buket D. Barkana9
Estimated H-index: 9
Published on Mar 29, 2019
Abdelshakour Abuzneid4
Estimated H-index: 4
,
Miad Faezipour15
Estimated H-index: 15
+ 2 AuthorsHassan Musafer
Published on Mar 14, 2019in Electronics
Razan Abdulhammed , Hassan Musafer + 2 AuthorsAbdelshakour Abuzneid4
Estimated H-index: 4
The security of networked systems has become a critical universal issue that influences individuals, enterprises and governments. The rate of attacks against networked systems has increased dramatically, and the tactics used by the attackers are continuing to evolve. Intrusion detection is one of the solutions against these attacks. A common and effective approach for designing Intrusion Detection Systems (IDS) is Machine Learning. The performance of an IDS is significantly improved when the fea...
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Mohammad Aloudat2
Estimated H-index: 2
,
Miad Faezipour15
Estimated H-index: 15
,
Ahmed ElSayed5
Estimated H-index: 5
Glaucoma, the silent thief of vision, is mostly caused by the gradual increase of pressure in the eye which is known as intraocular pressure (IOP). An effective way to prevent the rise in eye pressure is by early detection. Prior computer vision-based work regarding IOP relies on fundus images of the optic nerves. This paper provides a novel vision-based framework to help in the initial IOP screening using only frontal eye images. The framework first introduces the utilization of a fully convolu...
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Published on Jan 1, 2019
Razan Abdulhammed (University of Bridgeport), Miad Faezipour15
Estimated H-index: 15
(University of Bridgeport)
+ 1 AuthorsArafat AbuMallouh (Manhattan College)
Recently, cybersecurity threats have increased dramatically, and the techniques used by the attackers continue to evolve and become ingenious during the attack. Moreover, the complexity and frequent occurrence of imbalanced class distributions in most datasets indicate the need for extra research efforts. The objective of this article is to utilize various techniques for handling imbalanced datasets to build an effective intrusion detection system from the up-to-date Coburg Intrusion Detection D...
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Published on Dec 1, 2018in Theoretical Biology and Medical Modelling 1.57
Ali Alessa1
Estimated H-index: 1
(University of Bridgeport),
Miad Faezipour15
Estimated H-index: 15
(University of Bridgeport)
Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of diseases. Search engines and social networking sites can be used to track trends of different diseases seven to ten days faster than government agencies such as Center of Disease Control and Prevention (CDC). CDC uses the Illness-Like Influenza Surveillance Network (ILINet), which is a program used to monitor Influenza-Like Illness (ILI) sent by thous...
9 Citations Source Cite
Mohammad Aloudat2
Estimated H-index: 2
(University of Bridgeport),
Miad Faezipour15
Estimated H-index: 15
(University of Bridgeport),
Ahmed ElSayed5
Estimated H-index: 5
(University of Bridgeport)
Intraocular pressure (IOP) in general refers to the pressure in the eyes. Gradual increase of IOP and high IOP are conditions/symptoms that may lead to certain diseases such as glaucoma and therefore must be closely monitored. While the pressure in the eye increases, different parts of the eye may become affected until the eye parts are damaged. An effective way to prevent rise in eye pressure is by early detection. A new smart healthcare framework is presented to evaluate the intraocular pressu...
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Published on Nov 20, 2018in PLOS ONE 2.78
Mohammad Daneshzand3
Estimated H-index: 3
(University of Bridgeport),
Miad Faezipour15
Estimated H-index: 15
(University of Bridgeport),
Buket D. Barkana9
Estimated H-index: 9
(University of Bridgeport)
The hyperkinetic symptoms of Parkinson’s Disease (PD) are associated with the ensembles of interacting oscillators that cause excess or abnormal synchronous behavior within the Basal Ganglia (BG) circuitry. Delayed feedback stimulation is a closed loop technique shown to suppress this synchronous oscillatory activity. Deep Brain Stimulation (DBS) via delayed feedback is known to destabilize the complex intermittent synchronous states. Computational models of the BG network are often introduced t...
1 Citations Source Cite
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