Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Abdelshakour Abuzneid"'
Autor:
Rania Baashirah, Abdelshakour Abuzneid
Publikováno v:
Sensors, Vol 18, Iss 10, p 3584 (2018)
Radio Frequency Identification (RFID) is one of the leading technologies in the Internet of Things (IoT) to create an efficient and reliable system to securely identify objects in many environments such as business, health, and manufacturing areas. R
Externí odkaz:
https://doaj.org/article/6aa9f4aca9c3432689779cf0e021d05c
Publikováno v:
Sensors, Vol 18, Iss 9, p 2902 (2018)
Radio frequency identification (RFID) is a technology that has grown in popularity and in the applications of use. However, there are major issues regarding security and privacy with respect to RFID technology which have caught the interest of many r
Externí odkaz:
https://doaj.org/article/ee4357382058404596a0694407689b36
Publikováno v:
Sensors, Vol 16, Iss 7, p 957 (2016)
Wireless sensor networks (WSN) are deployed for many applications such as tracking and monitoring of endangered species, military applications, etc. which require anonymity of the origin, known as Source Location Privacy (SLP). The aim in SLP is to p
Externí odkaz:
https://doaj.org/article/215e5d01d05c4944abe5401153d5f82e
Publikováno v:
International Journal of Interdisciplinary Telecommunications and Networking. 13:1-11
Radio frequency identification (RFID) is the fastest growing technology in the world today. Thus, wireless communication between tags and readers became an integral part of retail products, library books, personal identifications, and healthcare. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::496a7458b38c81fec47e920a469aff2b
https://doi.org/10.4018/ijitn.2021040101
https://doi.org/10.4018/ijitn.2021040101
Autor:
Abdelshakour Abuzneid, Miad Faezipour
Publikováno v:
Telemedicine and e-Health
Telemedicine could be a key to control the world-wide disruptive and spreading novel coronavirus disease (COVID-19) pandemic. The COVID-19 virus directly targets the lungs, leading to pneumonia-like symptoms and shortness of breath with life-threaten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f850380f270de95cfe08501e911cf35
https://doi.org/10.1089/tmj.2020.0114
https://doi.org/10.1089/tmj.2020.0114
Autor:
Abdelshakour Abuzneid, Omar Abuzaghleh, Muhammad Wasimuddin, Miad Faezipour, Khaled M. Elleithy
Publikováno v:
IEEE Access, Vol 8, Pp 177782-177803 (2020)
Electrocardiogram (ECG) gives essential information about different cardiac conditions of the human heart. Its analysis has been the main objective among the research community to detect and prevent life threatening cardiac circumstances. Traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6efd6270c3a9e8d632207c5c141bd71
https://doi.org/10.1109/access.2020.3026968
https://doi.org/10.1109/access.2020.3026968
Autor:
Omar Abuzaghleh, Khaled M. Elleithy, Miad Faezipour, Muhammad Wasimuddin, Abdelshakour Abuzneid
Publikováno v:
Electronics, Vol 10, Iss 170, p 170 (2021)
Electronics
Volume 10
Issue 2
Electronics
Volume 10
Issue 2
Cardiovascular diseases have been reported to be the leading cause of mortality across the globe. Among such diseases, Myocardial Infarction (MI), also known as &ldquo
heart attack&rdquo
is of main interest among researchers, as its early d
heart attack&rdquo
is of main interest among researchers, as its early d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cf628d1a69a76a2bbfe5dd4e69ca61f
https://www.mdpi.com/2079-9292/10/2/170
https://www.mdpi.com/2079-9292/10/2/170
Publikováno v:
Advances in Computer Vision and Computational Biology ISBN: 9783030710507
As high intraocular pressure (IOP) is the main cause of glaucoma which can result in irreversible vision loss, early detection is extremely important for prevention. This paper is a research work in progress, built upon our prior work, to distinguish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81e005b448c8506f790f9e615f8b62db
https://doi.org/10.1007/978-3-030-71051-4_7
https://doi.org/10.1007/978-3-030-71051-4_7
Publikováno v:
Advances in Security, Networks, and Internet of Things ISBN: 9783030710163
This paper introduces promising network intrusion detection techniques, mainly based on an ensemble of machine learning and feature dimensionality reduction algorithms. We applied hybrid techniques using Principal Component Analysis (PCA) and Linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c49ba9fdc6947d439b9c7880b04aa593
https://doi.org/10.1007/978-3-030-71017-0_43
https://doi.org/10.1007/978-3-030-71017-0_43
Publikováno v:
2020 International Conference on Computational Science and Computational Intelligence (CSCI).
This paper introduces an effective Network Intrusion Detection Systems (NIDS) framework that deploys incremental statistical damping features of the packets along with state-of- the-art machine/deep learning algorithms to detect malicious patterns. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4df51ae50c38d5d561dcb0020d354677
https://doi.org/10.1109/csci51800.2020.00031
https://doi.org/10.1109/csci51800.2020.00031