Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Amal Aqlan"'
Autor:
Fahd Alqasemi, Mohammad Albazel, Amal Aqlan, Mohammed Hadwan, Salah Al-Hagree, Maher Al-Sanabani
Publikováno v:
2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA).
This research reviewed the different steganography techniques used to hide secrets within Arabic text. In this paper, we aim to provide an overview of Arabic text steganography techniques from literature and previous studies that used Arabic language
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d42340464a2dbe08ac49e4a9016f2eb0
https://doi.org/10.1109/esmarta52612.2021.9515740
https://doi.org/10.1109/esmarta52612.2021.9515740
Autor:
Mohammed Hadwan, Muneer Alsurori, Fahd Alqasemi, Zakaria Aljaberi, Amal Aqlan, Salah Al-Hagree
Publikováno v:
2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA).
Birthrates forecasting can help decision-makers to understand population increment patterns, in addition to many issues that support governmental decisions, especially in developing countries as Yemen. Data Mining has important new emerged technologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef1c9f526a9590ce4aab8c8448f73b01
https://doi.org/10.1109/esmarta52612.2021.9515746
https://doi.org/10.1109/esmarta52612.2021.9515746
Autor:
Fahd Alqasemi, Salah Al-Hagree, Mohammed Hadwan, Amal Aqlan, Muneer Alsurori, Sarah Abdulmalek
Publikováno v:
2021 International Conference of Technology, Science and Administration (ICTSA).
Survey research is one of the important types of scientific research needed to address the advancement in specific research areas. In this paper, we aim to provide a critical review of name-matching algorithms related to Levenstein's algorithm used i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e11fd12074c51c7e5b9c260cbd61248d
https://doi.org/10.1109/ictsa52017.2021.9406547
https://doi.org/10.1109/ictsa52017.2021.9406547
Autor:
Amal Aqlan, Fahd Alqasemi, Zahraa Almotwakl, Salah Al-Hagree, Mohammed Hadwan, Khaled M. A. Alalayah
Publikováno v:
2021 International Conference of Technology, Science and Administration (ICTSA).
In recent years, Educational Data Mining (EDM) is a new field that has been employed for extracting intrinsic educational new facts. EDM has become a hot topic in the field of educational informatics. In this paper we had applied clustering analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa83015dfcc072fa3cc08879b42494d6
https://doi.org/10.1109/ictsa52017.2021.9406544
https://doi.org/10.1109/ictsa52017.2021.9406544