Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Yu-N Cheah"'
The purpose of this study is to find out influential factors of intention to use the proposed system among health centers by considering the technology acceptance model as the underlying theory. The proposed model of this study is tested using data c
Externí odkaz:
http://arxiv.org/abs/1806.10744
Publikováno v:
IEEE Access, Vol 10, Pp 39833-39852 (2022)
Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers in red
Externí odkaz:
https://doaj.org/article/33c3ca3530e441be880433f41a53b4d2
Publikováno v:
Vaccines, Vol 11, Iss 8, p 1331 (2023)
Malaysian healthcare institutions still use ineffective paper-based vaccination systems to manage childhood immunization schedules. This may lead to missed appointments, incomplete vaccinations, and outbreaks of preventable diseases among infants. To
Externí odkaz:
https://doaj.org/article/87a917e433f14bb79f2344f9e3fe1658
Autor:
Syed Faisal Abbas Shah, Muhammad Iqbal, Zeeshan Aziz, Toqir A. Rana, Adnan Khalid, Yu-N Cheah, Muhammad Arif
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7882 (2022)
Machine learning can be used to automate a wide range of tasks. Smart buildings, which use the Internet of Things (IoT) to connect building operations, enable activities, such as monitoring temperature, safety, and maintenance, for easier controlling
Externí odkaz:
https://doaj.org/article/a0163c7aabc04f568094ffbe4cc76b10
Publikováno v:
Journal of ICT Research and Applications, Vol 10, Iss 1, Pp 76-93 (2016)
With the expansion and acceptance of Word Wide Web, sentiment analysis has become progressively popular research area in information retrieval and web data analysis. Due to the huge amount of user-generated contents over blogs, forums, social media,
Externí odkaz:
https://doaj.org/article/19f5e4f89d354ae1b60f71b6b968c444
Autor:
H. Hardy, Yu-N Cheah
Publikováno v:
Journal of ICT Research and Applications, Vol 7, Iss 1, Pp 36-58 (2014)
In statistical machine learning approaches for question classification, efforts based on lexical feature space require high computation power and complex data structures. This is due to the large number of unique words (or high dimensionality). Choos
Externí odkaz:
https://doaj.org/article/ca8f8c8b59b145708cf10d1be4d6d27a
Publikováno v:
Applied Intelligence. 50:4616-4630
Sentiment analysis or opinion mining is the area of research in Natural Language Processing (NLP) and text mining which deals with the systematic identification of subjective information from user generated text. At a more fine-grained level, aspect-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22f53d5d8d7d8d77ded49f83b9edff23
https://doi.org/10.1007/s10489-020-01817-x
https://doi.org/10.1007/s10489-020-01817-x
Autor:
Thineswaran Gunasegaran, Yu-N Cheah
Publikováno v:
Malaysian Journal of Computer Science. :34-45
Word embedding is widely used in various natural language processing (NLP) tasks, especially sentiment classification. Huge computational costs for training new embeddings from scratch have made pretrained word embeddings such as Word2Vec and Glove p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c352ef7ce34767d2b1206adc8ebea045
https://doi.org/10.22452/mjcs.sp2019no3.3
https://doi.org/10.22452/mjcs.sp2019no3.3
Publikováno v:
2021 International Conference on Communication & Information Technology (ICICT).
Feature selection is one of the most common and vital data preprocessing techniques in text classification. It is used to reduce the high-dimensional set of features in any dataset by eliminating irrelevant, redundant, and noisy features that are unn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b931dd6250a7895772d8a921449ecbc
https://doi.org/10.1109/icict52195.2021.9567898
https://doi.org/10.1109/icict52195.2021.9567898
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Forming an optimal collaborative team is achieved using members characteristics to improve team efficiency. A team’s performance may have a negative effect when a team is formed randomly. Moreover, it is quite impossible to achieve an optimal team
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e49d5330d196cd719f8e56ee40b0697
https://doi.org/10.14569/ijacsa.2021.0120827
https://doi.org/10.14569/ijacsa.2021.0120827