Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Angelika Maag"'
Autor:
Hui Yang, Abeer Alsadoon, P. W. C. Prasad, Thair Al-Dala’in, Tarik A. Rashid, Angelika Maag, Omar Hisham Alsadoon
Accurate emotion classification for online reviews is vital for business organizations to gain deeper insights into markets. Although deep learning has been successfully implemented in this area, accuracy and processing time are still major problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf595d13456457ae1e1fd73af1163921
http://arxiv.org/abs/2203.04368
http://arxiv.org/abs/2203.04368
Publikováno v:
Education and Information Technologies. 25:2635-2664
The constantly growing offering of online learning materials to students is making it more difficult to locate specific information from data pools. Personalization systems attempt to reduce this complexity through adaptive e-learning and recommendat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::460fd1eef87e08d1933a9bc3224436c3
https://doi.org/10.1007/s10639-019-10063-9
https://doi.org/10.1007/s10639-019-10063-9
Publikováno v:
2021 6th International Conference on Innovative Technology in Intelligent System and Industrial Applications (CITISIA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a44a425a059902df5b9e20936e1fd605
https://doi.org/10.1109/citisia53721.2021.9719962
https://doi.org/10.1109/citisia53721.2021.9719962
Publikováno v:
2021 6th International Conference on Innovative Technology in Intelligent System and Industrial Applications (CITISIA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d69c6014accecae85e61bebc46ea6439
https://doi.org/10.1109/citisia53721.2021.9719878
https://doi.org/10.1109/citisia53721.2021.9719878
Publikováno v:
2021 6th International Conference on Innovative Technology in Intelligent System and Industrial Applications (CITISIA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::387e9b4af2ff74231b32f1a2d8bb74d3
https://doi.org/10.1109/citisia53721.2021.9719978
https://doi.org/10.1109/citisia53721.2021.9719978
Publikováno v:
2021 6th International Conference on Innovative Technology in Intelligent System and Industrial Applications (CITISIA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb975559b23fbe1f455d2014c08eba6e
https://doi.org/10.1109/citisia53721.2021.9719886
https://doi.org/10.1109/citisia53721.2021.9719886
Publikováno v:
Indian Journal of Science and Technology. 12:1-8
Objective: Even though there are many advanced and sophisticated data mining techniques that are being used to enhance the quality of health services, many of them still fail to produce accurate predictions when applied to real-time health datasets.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::384f642885906405d30140e0ae58ecd9
https://doi.org/10.17485/ijst/2019/v12i34/145506
https://doi.org/10.17485/ijst/2019/v12i34/145506
Publikováno v:
Expert Systems with Applications. 118:272-299
The increasing volume of user-generated content on the web has made sentiment analysis an important tool for the extraction of information about the human emotional state. A current research focus for sentiment analysis is the improvement of granular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50b16f4dbb853e0c9a19eafae6fa607d
https://doi.org/10.1016/j.eswa.2018.10.003
https://doi.org/10.1016/j.eswa.2018.10.003
Autor:
Tarik A. Rashid, Thair Al Dala in, Sagar Chhetri, Angelika Maag, P.W.C. Prasad, Abeer Alsadoon
Accurate fall detection for the assistance of older people is crucial to reduce incidents of deaths or injuries due to falls. Meanwhile, a vision-based fall detection system has shown some significant results to detect falls. Still, numerous challeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7d48e0fc4a1c11dd2663921158fd3b7
Autor:
P.W.C. Prasad, Muhammad Arslan Javed, Angelika Maag, Abeer Alsadoon, Tarik A. Rashid, Yahini Prabha Murugesan
Publikováno v:
2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA).
In deep learning, local binary patterns (LBP) are inefficient for the textural feature-based classification of the fatty liver because they lose some of the relevant features. The purpose of this study is to enhance classification accuracy. We analyz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46a602a0035fb5335dc3ef423047f7b6
https://doi.org/10.1109/citisia50690.2020.9397491
https://doi.org/10.1109/citisia50690.2020.9397491