Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mohammed Al-Andoli"'
Publikováno v:
IET Wireless Sensor Systems, Vol 13, Iss 5, Pp 163-177 (2023)
Abstract The trajectory localisation of human activities using signal analytics has become a reality due to the widespread use of advanced signal processing systems. Device‐free localisation using WiFi devices is prevalent, and the received signal
Externí odkaz:
https://doaj.org/article/d66096f55d60424e9885e9ffa16cd41c
Autor:
Jamil Alsayaydeh, Jamil Abedalrahim, bin Yusof, Mohd Faizal, Chan Yoke Lin, Mohammed Al-Andoli, Mohammed Nasser, Herawan, Safarudin Gazali, Md Isa, Ida Syafiza
Publikováno v:
International Journal of Advanced Computer Science & Applications; 2024, Vol. 15 Issue 3, p244-253, 10p
Publikováno v:
Applied Intelligence. 52:3366-3386
Community detection is one of the long standing and challenging tasks in the field of Complex Networks (CNs). Recently, deep learning is one of the promising community detection methods, which can learn effectively low-dimensional representation of C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3efe2def177b238ec978099780c29f21
https://doi.org/10.1007/s10489-021-02589-8
https://doi.org/10.1007/s10489-021-02589-8
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:4517-4533
Detecting communities is an important multidisciplinary research discipline and is considered vital to understand the structure of complex networks. Deep autoencoders have been successfully proposed to solve the problem of community detection. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48f4a67ec966b73e19c426440f56f035
https://doi.org/10.3233/jifs-201342
https://doi.org/10.3233/jifs-201342
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 12:2527-2545
Community detection in complex networks is an important multidisciplinary research area and is considered crucial for understanding the structure of complex networks. Unsupervised deep learning models (e.g. stack autoencoders) have been successfully
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e76ec6011439b5e121e7e3c4d2ecd97b
https://doi.org/10.1007/s12652-020-02389-x
https://doi.org/10.1007/s12652-020-02389-x
Publikováno v:
Computers & Electrical Engineering. 74:533-546
In Social Network Analysis (SNA), a common algorithm for community detection iteratively applies three phases: spectral mapping, clustering (using either the Fuzzy C-Means or the K-Means algorithms) and modularity computation. Despite its effectivene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1d7c47b4ff185bda5a822b203ec3d9a
https://doi.org/10.1016/j.compeleceng.2018.01.003
https://doi.org/10.1016/j.compeleceng.2018.01.003
Publikováno v:
FiCloud Workshops
Social Network Analysis (SNA) has been gaining a lot of attention lately. One of the common steps in SNA is community detection. SNA literature has many interesting algorithms for community detection. One of the popular ones was proposed by Newman an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aedb0edf47a6045c2e267ff12237afbf
https://doi.org/10.1109/w-ficloud.2016.57
https://doi.org/10.1109/w-ficloud.2016.57
Publikováno v:
2016 7th International Conference on Computer Science and Information Technology (CSIT).
One of the important features of Social Networks (SNs) is community structure detection. Several methods have been proposed to address this problem. One of the interesting methods is based on the famous Fuzzy C-Means (FCM) clustering algorithm. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aaf2b4ab5e375e485a0ca6a70c48c70
https://doi.org/10.1109/csit.2016.7549467
https://doi.org/10.1109/csit.2016.7549467
Autor:
Omar Qawasmeh, Bashar Talafha, Wegdan A. Hussien, Mohammed Al-Andoli, Mohammad AL-Smadi, Christian Guetl
Publikováno v:
I-KNOW
This research aims at tackling the problem of Arabic Named Entity Disambiguation (NED) through an enhanced approach of information extraction from DBpedia and Arabic Wikipedia using query label expansion and text similarity techniques.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31c826d99ad7b4e1766dd9eac605ca88
https://doi.org/10.1145/2809563.2809589
https://doi.org/10.1145/2809563.2809589
Autor:
Jamil Abedalrahim Jamil Alsayaydeh, Irianto, Mohanad Faeq Ali, Mohammed Nasser Mohammed Al-Andoli, Safarudin Gazali Herawan
Publikováno v:
IEEE Access, Vol 12, Pp 19405-19417 (2024)
In applications related to smart cities, the Internet of Things (IoT) promotes service scalability regardless of variations in user density. Many customers require several safety procedures to supply reliable and effective application services. Undep
Externí odkaz:
https://doaj.org/article/c1d099f9c8174f84aac75ee7d572c181