Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Amneh Alamleh"'
Autor:
Che Zalina Zulkifli, Salem Garfan, Mohammed Talal, A. H. Alamoodi, Amneh Alamleh, Ibraheem Y. Y. Ahmaro, Suliana Sulaiman, Abu Bakar Ibrahim, B. B. Zaidan, Amelia Ritahani Ismail, O. S. Albahri, A. S. Albahri, Chin Fhong Soon, Nor Hazlyna Harun, Ho Hong Chiang
Publikováno v:
Water, Vol 14, Iss 22, p 3621 (2022)
Water quality monitoring plays a significant part in the transition towards intelligent and smart agriculture and provides an easy transition to automated monitoring of crucial components of human daily needs as new technologies are continuously deve
Externí odkaz:
https://doaj.org/article/135fbcbc6f84407083ddfe66ec6e99e6
Autor:
Amneh Alamleh, O. S. Albahri, A. A. Zaidan, A. H. Alamoodi, A. S. Albahri, B. B. Zaidan, Sarah Qahtan, Amelia Ritahani binti Ismail, R. Q. Malik, M. J. Baqer, Ali Najm Jasim, Mohammed S. Al-Samarraay
Publikováno v:
International Journal of Information Technology & Decision Making. 22:589-636
Intrusion detection systems (IDSs) employ sophisticated security techniques to detect malicious activities on hosts and/or networks. IDSs have been utilized to ensure the security of computer and network systems. However, numerous evaluation and sele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7199030cf0e092cbc4d066aebac3302
https://doi.org/10.1142/s021962202230004x
https://doi.org/10.1142/s021962202230004x
Autor:
Sattam Almatarneh, Israa Abdullah Almatarneh, Ghassan Samara, Mohammad Aljaidi, Amneh Alamleh, Aref Abuawad
Publikováno v:
2022 International Arab Conference on Information Technology (ACIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7971124a6fdfe3e44772411feef5a9d
https://doi.org/10.1109/acit57182.2022.9994180
https://doi.org/10.1109/acit57182.2022.9994180
Autor:
Amneh Alamleh, O. S. Albahri, A. A. Zaidan, A. S. Albahri, A. H. Alamoodi, B. B. Zaidan, Sarah Qahtan, H. A. Alsatar, Mohammed S. Al-Samarraay, Ali Najm Jasim
Publikováno v:
IEEE journal of biomedical and health informatics.
Efficient evaluation for machine learning (ML)-based intrusion detection systems (IDSs) for federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the standardisation and multicriteria decision-making (MCDM) problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5335215be8012d80ddcddb3e6ee3e8f6
https://pubmed.ncbi.nlm.nih.gov/35417360
https://pubmed.ncbi.nlm.nih.gov/35417360