Zobrazeno 1 - 10 of 25 pro vyhledávání: '"Teh Noranis Mohd Aris"'
1
Akademický článek
Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
Autor: Nazli Mohd Khairudin, Norwati Mustapha, Teh Noranis Mohd Aris, Maslina Zolkepli
Publikováno v: IJAIN (International Journal of Advances in Intelligent Informatics), Vol 10, Iss 1, Pp 1-12 (2024)
The advancement of machine learning model has widely been adopted to provide flood forecast. However, the model must deal with the challenges to determine the most important features to be used in in flood forecast with high-dimensional non-linear ti
Externí odkaz: https://doaj.org/article/b4a85749ab964e9e817e950b8c2b42a9
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2
Akademický článek
ROME: A Graph Contrastive Multi-View Framework From Hyperbolic Angular Space for MOOCs Recommendation
Autor: Hao Luo, Nor Azura Husin, Teh Noranis Mohd Aris
Publikováno v: IEEE Access, Vol 11, Pp 9691-9700 (2023)
As Massive Open Online Courses (MOOCs) expand and diversify, more and more researchers study recommender systems that take advantage of interaction data to keep students interested and boost their performance. In a typical roadmap, courses and videos
Externí odkaz: https://doaj.org/article/495bbe7c30424c0399abaa7332d6fb7c
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3
Akademický článek
Artificial Intelligence in Adaptive and Intelligent Educational System: A Review
Autor: Jingwen Dong, Siti Nurulain Mohd Rum, Khairul Azhar Kasmiran, Teh Noranis Mohd Aris, Raihani Mohamed
Publikováno v: Future Internet, Vol 14, Iss 9, p 245 (2022)
There has been much discussion among academics on how pupils may be taught online while yet maintaining a high degree of learning efficiency, in part because of the worldwide COVID-19 pandemic in the previous two years. Students may have trouble focu
Externí odkaz: https://doaj.org/article/a6218b8366d449f780365446c66c785c
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4
A proposed approach for diabetes diagnosis using neuro-fuzzy technique
Autor: Maher Talal Alasaady, Teh Noranis Mohd Aris, Nurfadhlina Mohd Sharef, Hazlina Hamdan
Publikováno v: Bulletin of Electrical Engineering and Informatics. 11:3590-3597
Diabetes is a chronic disease characterized by a decrease in pancreatic insulin production. The immune system will be harmed due to this condition, which will raise blood sugar levels. However, early detection of diabetes enables patients to begin tr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2580090447a727f9069631e86b9135a7
https://doi.org/10.11591/eei.v11i6.4269
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9
Data-Driven Forecasting and Modeling of Runoff Flow to Reduce Flood Risk Using a Novel Hybrid Wavelet-Neural Network Based on Feature Extraction
Autor: Salimeh Malekpour Heydari, Teh Noranis Mohd Aris, Hazlina Hamdan, Razali Yaakob
Publikováno v: Sustainability, Vol 13, Iss 11537, p 11537 (2021)
Sustainability
Volume 13
Issue 20
The reliable forecasting of river flow plays a key role in reducing the risk of floods. Regarding nonlinear and variable characteristics of hydraulic processes, the use of data-driven and hybrid methods has become more noticeable. Thus, this paper pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccbac450e6f9b8ab55ce6be999daafe5
https://www.mdpi.com/2071-1050/13/20/11537
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10
FUZZY ENCODER FRAMEWORK FOR FOUR LAYERS COLOR QR CODE
Autor: Noridayu Manshor, Teh Noranis Mohd Aris, Norwati Mustapha, Bakri Badawi
Publikováno v: Malaysian Journal of Computer Science. :118-130
QR code is a popular type of two-dimension barcode due to high demand of QR code which makes it an active research area specifically to overcome QR code limitation. One of QR code limitation is encoding data size limitation. In this paper, we propose
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::daac075ca8f71ca36ec3ca1fa5136b10
https://doi.org/10.22452/mjcs.sp2019no3.8
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