Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hui Wen Nies"'
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-25 (2024)
Abstract The outbreak of emerging infectious diseases poses significant challenges to global public health. Accurate early forecasting is crucial for effective resource allocation and emergency response planning. This study aims to develop a comprehe
Externí odkaz:
https://doaj.org/article/2dd7eae3142a4a2caf67424a2cc3a732
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 10 (2024)
Location privacy protection has drawn increasing attention with the popularity of location-based services. This study proposes a context-aware location privacy protection method (CA-LP). CA-LP evaluates users' location privacy needs by mining their h
Externí odkaz:
https://doaj.org/article/8bc8a90873444b06a8bb31f327ff60b9
Autor:
Yong Chi Chua, Hui Wen Nies, Izyan Izzati Kamsani, Haslina Hashim, Yusliza Yusoff, Weng Howe Chan, Muhammad Akmal Remli, Yong Hui Nies, Mohd Saberi Mohamad
Publikováno v:
Egyptian Informatics Journal, Vol 26, Iss , Pp 100484- (2024)
Genetic markers for acne are being studied to create personalized treatments based on an individual’s genes, and the field is benefiting from the application of artificial intelligence (AI) techniques. One such AI tool, the Q-learning algorithm, is
Externí odkaz:
https://doaj.org/article/a68088b225ee463b936d3e4b20c3efc5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract The evolution of Internet technology has led to an increase in online users. This study focuses on the pivotal role of visual elements in web content conveyance and their impact on user browsing behavior. Therefore, the use of visual element
Externí odkaz:
https://doaj.org/article/8ccf834f1000470b82e4ab4cfec0c193
Autor:
Hui Wen Nies, Mohd Saberi Mohamad, Zalmiyah Zakaria, Weng Howe Chan, Muhammad Akmal Remli, Yong Hui Nies
Publikováno v:
Entropy, Vol 23, Iss 9, p 1232 (2021)
Artificial intelligence in healthcare can potentially identify the probability of contracting a particular disease more accurately. There are five common molecular subtypes of breast cancer: luminal A, luminal B, basal, ERBB2, and normal-like. Previo
Externí odkaz:
https://doaj.org/article/4c839ade2ff94571865370d562ebd557
Publikováno v:
International Journal of Innovative Computing. 13:13-19
Next Generation Sequencing (NGS) is a modern sequencing technology that can determine the sequences of RNA and DNA faster and at lower cost. The availability of NGS data has sparked numerous efforts in bioinformatics, especially in the study of genet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe3df3de3a0962475fb043c8629873b
https://doi.org/10.11113/ijic.v13n1.382
https://doi.org/10.11113/ijic.v13n1.382
Publikováno v:
2022 2nd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ad5625eb2c23776430d185f4609f540
https://doi.org/10.1109/icicyta57421.2022.10037807
https://doi.org/10.1109/icicyta57421.2022.10037807
Publikováno v:
2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::404d9d22a69af6f16f988d37cf894f49
https://doi.org/10.1109/icaiss55157.2022.10011062
https://doi.org/10.1109/icaiss55157.2022.10011062
Autor:
Mohd Saberi Mohamad, Nor Syahidatul Nadiah Ismail, Aina Umairah Mazlan, Noor Azida Sahabudin, Hui Wen Nies, Nor Bakiah Abd Warif, Muhammad Akmal Remli
Publikováno v:
Processes, Vol 9, Iss 1466, p 1466 (2021)
Data-driven model with predictive ability are important to be used in medical and healthcare. However, the most challenging task in predictive modeling is to construct a prediction model, which can be addressed using machine learning (ML) methods. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2666a10803f3dbfc1bb76a03a8f6530a
https://www.mdpi.com/2227-9717/9/8/1466
https://www.mdpi.com/2227-9717/9/8/1466
Autor:
Kauthar Mohd Daud, Safaai Deris, Muhammad Akmal Remli, Hui Wen Nies, Sigeru Omatu, Ghazali Sulong, Mohd Saberi Mohamad, Shahreen Kasim
Publikováno v:
11th International Conference on Practical Applications of Computational Biology & Bioinformatics ISBN: 9783319608150
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Accurate cancer classification and responses to treatment are important in clinical cancer research since cancer acts as a family of gene-based diseases. Microarray technology has widely developed to measure gene expression level changes under normal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59f17b80f6046a631198c967e8eb133e
https://doi.org/10.1007/978-3-319-60816-7_8
https://doi.org/10.1007/978-3-319-60816-7_8
