Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Lailatul Qadri Zakaria"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2191 (2024)
Background The Automatic Essay Score (AES) prediction system is essential in education applications. The AES system uses various textural and grammatical features to investigate the exact score value for AES. The derived features are processed by var
Externí odkaz:
https://doaj.org/article/9ae92bdb7c974e38a92314475a3b1702
Autor:
Cao Xin, Lailatul Qadri Zakaria
Publikováno v:
IEEE Access, Vol 12, Pp 161203-161212 (2024)
Depression is a prevalent mental health condition that significantly impacts individuals’ lives. Early detection of depression is crucial for timely intervention and improved outcomes. However, traditional machine learning approaches are constraine
Externí odkaz:
https://doaj.org/article/c0d0827dc06444c3a0caf4bd6ef56314
Publikováno v:
IEEE Access, Vol 12, Pp 48713-48724 (2024)
The computer-based Automated Essay Scoring (AES) system automatically marks or scores student replies by considering relevant criteria. The methodology systematically categorises writing quality and can increase operational effectiveness in academic
Externí odkaz:
https://doaj.org/article/dc07826356424327a01432bc8c857f94
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13129 (2023)
Named entity recognition (NER) is a crucial component of various natural language processing (NLP) applications, particularly in healthcare. It involves accurately identifying and extracting named entities such as medical terms, diseases, and drug na
Externí odkaz:
https://doaj.org/article/e1f6e1679e764ca2b538bac9be32ee0a
Publikováno v:
IEEE Access, Vol 9, Pp 150753-150767 (2021)
A group recommender system (GRS) is a system that collectively recommends items to a group of users based on their preferences. The GRS and the individual RS challenge lies in a very small and incompleteness of user-item ratings. Such incompleteness
Externí odkaz:
https://doaj.org/article/a118ee7f27a94f93a3ed2ca22dd8ef30
Publikováno v:
Asia-Pacific Journal of Information Technology and Multimedia. 11:49-58
Phishing email classification requires features so that the performance obtained produces good accuracy. One of the reasons for the lack of development of models for detecting phishing emails is the complexity of the feature selection. Feature select
Publikováno v:
Asia-Pacific Journal of Information Technology and Multimedia, Vol 5, Iss 02, Pp 35-45 (2016)
Malaysia is known for its traditional cultural heritage. This is reflected from a diverge range of practices and ways of life of its people. Nevertheless, the traditional cultural heritage has been gradually forgotten overtime. The information relate
Externí odkaz:
https://doaj.org/article/d24ebae178e84a219f834c2b6d82e5af
Text classification has played a key role in various fields, such as news classification, spam detection, and sentiment analysis. However, the classification of crime news continues to pose challenges, including low efficiency, low precision, and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b97e31a4fd0deaa1631f7b109bb1e7c8
https://doi.org/10.21203/rs.3.rs-2582775/v1
https://doi.org/10.21203/rs.3.rs-2582775/v1
Publikováno v:
Data Science and Emerging Technologies ISBN: 9789819907403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f3616cc90f64e6e6c7bbb11452e284d
https://doi.org/10.1007/978-981-99-0741-0_21
https://doi.org/10.1007/978-981-99-0741-0_21
Publikováno v:
2022 Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT).