Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Wei Wei, Goh"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 7, Pp 4385-4401 (2022)
Emotion recognition based on electroencephalography (EEG) signal features is now one of the booming big data research areas. As the number of commercial EEG devices in the current market increases, there is a need to understand current trends and pro
Externí odkaz:
https://doaj.org/article/c4bbf53c711447cdae37c4002da9beee
Autor:
Md Isa, Filzah, Noor, Shaista, Wei Wei, Goh, Syed Hussain, Sharifah Diyana Binti, Mohamad Ibrahim, Hairunnisa, Ahmdon, Muhd Afiq Syazwan
Publikováno v:
PSU Research Review, 2020, Vol. 6, Issue 1, pp. 17-38.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PRR-05-2020-0013
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 2729 Issue 1, p1-10, 10p
Publikováno v:
Information, Vol 12, Iss 11, p 487 (2021)
Ontology matching is a rapidly emerging topic crucial for semantic web effort, data integration, and interoperability. Semantic heterogeneity is one of the most challenging aspects of ontology matching. Consequently, background knowledge (BK) resourc
Externí odkaz:
https://doaj.org/article/79c5652080064702bfdbe10e7c2670fb
Publikováno v:
MATEC Web of Conferences, Vol 335, p 04001 (2021)
Emotion recognition, as a branch of affective computing, has attracted great attention in the last decades as it can enable more natural brain-computer interface systems. Electroencephalography (EEG) has proven to be an effective modality for emotion
Externí odkaz:
https://doaj.org/article/d232c14492b4486fa20da98c4401339c
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031160745
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a371e23d98471dc31a7fc6da2686d30
https://doi.org/10.1007/978-3-031-16075-2_5
https://doi.org/10.1007/978-3-031-16075-2_5
Publikováno v:
Journal of Information & Knowledge Management. 21
As new generations of technology appear, legacy knowledge management solutions and applications become increasingly out of date, necessitating a paradigm shift. Machine learning presents an opportunity by foregoing rule-based knowledge intensive syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::606ee0e36b9ca02607faf35a6d2edc8d
https://doi.org/10.1142/s0219649222500174
https://doi.org/10.1142/s0219649222500174
Publikováno v:
Information; Volume 12; Issue 11; Pages: 487
Information, Vol 12, Iss 487, p 487 (2021)
Information, Vol 12, Iss 487, p 487 (2021)
Ontology matching is a rapidly emerging topic crucial for semantic web effort, data integration, and interoperability. Semantic heterogeneity is one of the most challenging aspects of ontology matching. Consequently, background knowledge (BK) resourc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9377d4b249eae3d31c1fd392949b6db2
Publikováno v:
EAI Endorsed Transactions on Pervasive Health and Technology, Vol 7, Iss 28 (2021)
INTRODUCTION: The fact of our lives is that we will be reaching to elderly life stage sooner or later. Our elderly community has been left far behind of new technology updates. Technology advances just as age is catching up on us. To many who are in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36d87600136196ac4f52fbd510dac0c0
https://eudl.eu/pdf/10.4108/eai.11-6-2021.170231
https://eudl.eu/pdf/10.4108/eai.11-6-2021.170231
Publikováno v:
2021 2nd International Conference on Education Development and Studies.
In an effort to become a private university known for its innovative pedagogical approaches, Taylor's University (TU) revamped its programmes to be more personalized, ubiquitous, and learner-centered under the new Taylors Curriculum Framework (TCF).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0438e4474dceb4d709a1be48c6c116b7
https://doi.org/10.1145/3459043.3459046
https://doi.org/10.1145/3459043.3459046