Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Nurul Hashimah Ahamed"'
Autor:
Fatini Nadhirah Mohd Nain, Najihah Ahmad Latif, Nurul Hashimah Ahamed Hassain Malim, Rosni Abdullah, Muhamad Farid Abdul Rahim, Mohd Azinuddin Ahmad Mokhtar, Nurul Syafika Mohamad Fauzi
Publikováno v:
Malaysian Journal of Science and Advanced Technology, Vol 3, Iss 3 (2023)
The various molecular markers employed in breeding programs have been identified in the last decade of the 20th century. Molecular marker development has significantly altered genetics. Molecular markers are not only utilised in connecting diagrams,
Externí odkaz:
https://doaj.org/article/7a65b021c3b4460da7bd85cf6f3a016e
Publikováno v:
Malaysian Journal of Science and Advanced Technology, Vol 3, Iss 3 (2023)
As neurotechnologies have gotten better, a lot of neuroscientific research has been done using these new technologies. Even though labs all over the world produce a lot of neuro-data, most of this data has not been shared to help people from differen
Externí odkaz:
https://doaj.org/article/067bdc0d181f4513b26cbc611aa4c53e
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 6, Pp 658-667 (2021)
Quran and Al-Hadith are interrelated in the sense that both often complement each other in interpreting Islamic teachings. In order to gain comprehension of the Quran in detail, it is vital for a Muslim to refer to Al-Hadith in clarifying ambiguities
Externí odkaz:
https://doaj.org/article/ecafde9c91f24bc7b9da2c425c731edf
Publikováno v:
PeerJ, Vol 10, p e13163 (2022)
The exploration of drug-target interactions (DTI) is an essential stage in the drug development pipeline. Thanks to the assistance of computational models, notably in the deep learning approach, scientists have been able to shorten the time spent on
Externí odkaz:
https://doaj.org/article/ea51bb80bfe344839a605140c4b681dd
Autor:
Nur Aqilah Paskhal Rostam, Nurul Hashimah Ahamed Hassain Malim, Rosni Abdullah, Abdul Latif Ahmad, Boon Seng Ooi, Derek Juinn Chieh Chan
Publikováno v:
IEEE Access, Vol 9, Pp 108249-108265 (2021)
An end-to-end process to achieve a complete framework methodology for Harmful Algal Bloom (HAB) growth prediction is crucial for water management, especially in implementing robust predictive modelling of HAB to prevent water pollution. Previous work
Externí odkaz:
https://doaj.org/article/057c5575ff7442c0b62ba1749f8acdb7
Publikováno v:
Molecules, Vol 28, Iss 4, p 1663 (2023)
The prediction of drug-target interactions (DTIs) is a vital step in drug discovery. The success of machine learning and deep learning methods in accurately predicting DTIs plays a huge role in drug discovery. However, when dealing with learning algo
Externí odkaz:
https://doaj.org/article/5db20dea4a2b418d930eea2a40ec5547
Autor:
Casimiro A. Curbelo Montanez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani
Publikováno v:
IEEE Access, Vol 8, Pp 112379-112392 (2020)
One of the most important challenges in the analysis of high-throughput genetic data is the development of efficient computational methods to identify statistically significant Single Nucleotide Polymorphisms (SNPs). Genome-wide association studies (
Externí odkaz:
https://doaj.org/article/9ba4ee7d8f524ef4b3754f396f0d393b
Autor:
Fatini Nadhirah Mohd Nain, Nurul Hashimah Ahamed Hassain Malim, Rosni Abdullah, Muhamad Farid Abdul Rahim, Mohd Azinuddin Ahmad Mokhtar, Nurul Syafika Mohamad Fauzi
Publikováno v:
Algorithms, Vol 15, Iss 6, p 218 (2022)
Machine Learning (ML) offers new precision technologies with intelligent algorithms and robust computation. This technology benefits various agricultural industries, such as the palm oil sector, which possesses one of the most sustainable industries
Externí odkaz:
https://doaj.org/article/a7089dea055c48af991eec0fdadc1c16
Publikováno v:
Algorithms, Vol 15, Iss 3, p 87 (2022)
There is a growing interest in topic modeling to decipher the valuable information embedded in natural texts. However, there are no studies training an unsupervised model to automatically categorize the social networks (SN) messages according to pers
Externí odkaz:
https://doaj.org/article/5094cbc9030944ec9ab36c90a9068638
Publikováno v:
Asia-Pacific Journal of Information Technology and Multimedia, Vol 3, Iss (2), Pp 63-70 (2014)
The study of molecular similarity search in chemical database is increasingly widespread, especially in the area of drug discovery. Similarity search is an application in the field of Chemoinformatics to measure the similarity between the molecular s
Externí odkaz:
https://doaj.org/article/0fc80676935d43949e60b8b846afa171