Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mohd Khairul Bazli Mohd Aziz"'
Autor:
Wikky Fawaz Al Maki, Indra Bayu Muktyas, Samsul Arifin, null Suwarno, Mohd Khairul Bazli Mohd Aziz
Publikováno v:
Journal of Computer Science. 19:686-693
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62bf70c40fe49074cc69785b1b40833d
https://doi.org/10.3844/jcssp.2023.686.693
https://doi.org/10.3844/jcssp.2023.686.693
Publikováno v:
Journal of Computer Science. 18:26-32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63c4aa423dceb06586e181c9044b11c4
https://doi.org/10.3844/jcssp.2022.26.32
https://doi.org/10.3844/jcssp.2022.26.32
Autor:
Indra Bayu Muktyas, Suryadi, M. T., Mohd Khairul Bazli Mohd Aziz, Margaretha Ohyver, Syarifah Diana Permai, Samsul Arifin
Publikováno v:
AIP Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4dba2c554726b8faaa65930d16bdc42
https://doi.org/10.1063/5.0111255
https://doi.org/10.1063/5.0111255
Autor:
Nerru Pranuta Murnaka, null Rusdarti, Samsul Arifin, Mohd Khairul Bazli Mohd Aziz, null Suwarno
Publikováno v:
4TH INTERNATIONAL CONFERENCE ON FRONTIERS OF BIOLOGICAL SCIENCES AND ENGINEERING (FBSE 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0829c04a2d6429d151b059b6ac21dbcb
https://doi.org/10.1063/5.0099567
https://doi.org/10.1063/5.0099567
Autor:
Mohammad Iqbal, Muhammad Nanda Setiawan, Mohammad Isa Irawan, Ku Muhammad Naim Ku Khalif, Noryanti Muhammad, Mohd Khairul Bazli Mohd Aziz
Publikováno v:
Artificial intelligence in medicine. 131
We propose a method to search rare cardiovascular disease symptom rules from historical health examination records according to its hazard ratio utility and further detect the disease given new medical record data. Further, we aim to assist both medi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::375c4a5694c14433b5f10eea8f7f21eb
https://pubmed.ncbi.nlm.nih.gov/36100344
https://pubmed.ncbi.nlm.nih.gov/36100344
Autor:
Mohd. Khairul Bazli Mohd. Aziz, Mohammad Afif Kasno, Zulkifli Yusop, Fadhilah Yusof, Zalina Mohd. Daud
Publikováno v:
MATEMATIKA. 35:157-170
The well-known geostatistics method (variance-reduction method) is commonly used to determine the optimal rain gauge network. The main problem in geostatistics method to determine the best semivariogram model in order to be used in estimating the var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43e3b968d9521dff2155c5f57d850d42
https://doi.org/10.11113/matematika.v35.n2.1155
https://doi.org/10.11113/matematika.v35.n2.1155
Publikováno v:
Journal of Physics: Conference Series. 1988:012040
In the early 2020, Indonesia experienced flooding in several areas. This disaster caused a lot of damage and losses. One of the causes of flooding in Indonesia is due to high rainfall. This was not anticipated beforehand so there was a flood. Therefo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8392aea183924767a2420fad62315c31
https://doi.org/10.1088/1742-6596/1988/1/012040
https://doi.org/10.1088/1742-6596/1988/1/012040
Autor:
Mohd. Khairul Bazli Mohd. Aziz, Azlyna Senawi, Wan Nur Syahidah Wan Yusoff, Tan Lit Ken, Zun Liang Chuan
Publikováno v:
Journal of Physics: Conference Series. 1366:012103
One of the primary constraints for development and management of water resources is the spatial and temporal uncertainty of rainfall. This is due to the stability and reliability of water supply is dynamically associated with the spatial and temporal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f76cc15ac096be55b5d5b2fde39960d1
https://doi.org/10.1088/1742-6596/1366/1/012103
https://doi.org/10.1088/1742-6596/1366/1/012103
Publikováno v:
Journal of Physics: Conference Series. 1366:012072
Improved streamflow forecasting is considered an important task for researchers and water resources managers. However, streamflow forecasting is often challenging owing to the complexity of hydrologic systems. The accuracy of streamflow forecasting m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82ad37d49b7dd0f20b4ac27f202b1257
https://doi.org/10.1088/1742-6596/1366/1/012072
https://doi.org/10.1088/1742-6596/1366/1/012072
OPTIMAL DESIGN OF RAIN GAUGE NETWORK IN JOHOR BY USING GEOSTATISTICS AND PARTICLE SWARM OPTIMIZATION
Autor:
Mohd. Khairul Bazli Mohd. Aziz, Zalina Mohd. Daud, Fadhilah Yusof, Zulkifli Yusop, Mohammad Afif Kasno
Publikováno v:
International Journal of Geomate.
This study proposes particle swarm optimization (PSO) approach to determine the optimal number and locations for the optimal rain gauge network in Johor state. The existing network of 84 rain gauges in Johor is also restructured into new locations by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dddbacdfad9d2c20a46fd1726c0ee967
https://doi.org/10.21660/2016.25.5137
https://doi.org/10.21660/2016.25.5137