Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Amal Abdullah AlMansour"'
Autor:
Sri Listia Rosa, Evizal Abdul Kadir, Qammer Hussain Abbasi, Amal Abdullah Almansour, Mahmod Othman, Apri Siswanto
Publikováno v:
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3f12a70af9f581f44040dbadb6d2da5
https://doi.org/10.1109/iceccme55909.2022.9988546
https://doi.org/10.1109/iceccme55909.2022.9988546
Publikováno v:
International Journal of Environmental Research and Public Health
Volume 18
Issue 20
International Journal of Environmental Research and Public Health, Vol 18, Iss 10952, p 10952 (2021)
Volume 18
Issue 20
International Journal of Environmental Research and Public Health, Vol 18, Iss 10952, p 10952 (2021)
Assessment of heart sounds which are generated by the beating heart and the resultant blood flow through it provides a valuable tool for cardiovascular disease (CVD) diagnostics. The cardiac auscultation using the classical stethoscope phonological c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4f82c61f8264a85c496fbfb8cd21c3f
https://pubmed.ncbi.nlm.nih.gov/34682696
https://pubmed.ncbi.nlm.nih.gov/34682696
Publikováno v:
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE).
Recently, the usage of social media platforms, especially Twitter, for sharing views and experiences toward different products and services among users has increased significantly. Accordingly, extracting and analyzing Twitter data has generated grea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ef39918d99194c7a5cacc9a24f5fdc3
https://doi.org/10.1109/icecce49384.2020.9179327
https://doi.org/10.1109/icecce49384.2020.9179327
Publikováno v:
ICCDA
The ever-increasing popularity of Online Social Networks (OSNs) sites for posting and sharing photos and videos has led to unprecedented concerns on privacy violation. The available Online social networking (OSNs) sites offer a limited degree of priv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bf377ab0b855ff30ff68baa4502e189
https://doi.org/10.1145/3388142.3388161
https://doi.org/10.1145/3388142.3388161
Publikováno v:
2019 2nd International Conference on Computer Applications & Information Security (ICCAIS).
In the last few years, Twitter becomes the most popular platform for individuals to share their experiences and viewpoints towards different products and services. Therefore, it attracts a lot of researchers to use it as a body for sentiment analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e53835a8117adc23099107ac0781596
https://doi.org/10.1109/cais.2019.8769465
https://doi.org/10.1109/cais.2019.8769465
Publikováno v:
2018 1st International Conference on Computer Applications & Information Security (ICCAIS).
With the rapid growth of microblogging sites like Twitter, a wide range of spam activities are evolving at an equal pace. Detecting spam is a major problem in these days in social network sites. This paper explores spam URLs detection in Twitter by p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e10a2a1ffbdd374d873760212d8bc63
https://doi.org/10.1109/cais.2018.8441975
https://doi.org/10.1109/cais.2018.8441975
Publikováno v:
2018 1st International Conference on Computer Applications & Information Security (ICCAIS).
Social media platforms such as Twitter, Facebook and Blogs are growing enormously in terms of the number of users. Due to the rapid growth of the data produced from social media users, these platforms are becoming one of the most valuable data source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb4239bac0bb1cfcb4059ea17042db96
https://doi.org/10.1109/cais.2018.8442024
https://doi.org/10.1109/cais.2018.8442024
Autor:
Amal Abdullah AlMansour
Publikováno v:
2017 13th International Computer Engineering Conference (ICENCO).
This investigation was one part of a study that involved modelling the credibility of Arabic microblogs with disagreed judging credibility labels. We investigated the hypothesis that the most similar and agreed microblogs credibility judges use the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64746b588b50f37e3f378d6989a62dc8
https://doi.org/10.1109/icenco.2017.8289823
https://doi.org/10.1109/icenco.2017.8289823
Autor:
Amal Abdullah AlMansour
Publikováno v:
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 ISBN: 9783319569901
To evaluate credibility of Arabic content in Twitter, a corpus of Arabic microblogging messages was required with its labelled credibility ratings in order to build the credibility model. Since no Arabic dataset existed, we confronted this problem by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ca25beb945e429c386de5cc0c6b3d23
https://doi.org/10.1007/978-3-319-56991-8_80
https://doi.org/10.1007/978-3-319-56991-8_80
Publikováno v:
International Journal of Digital Information and Wireless Communications. 4:53-62
Due to the growing dependence on the WWW UserGenerated Content (UGC) as a primary source for information and news, the research on web credibility is becoming more important than ever before. In this paper we review previous efforts to evaluate infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4cf0e4e2c97269c5117c804f4f44481
https://doi.org/10.17781/p001083
https://doi.org/10.17781/p001083