Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Nur Sakinah Ahmad"'
Autor:
Nur Sakinah Ahmad Yasmin, Norhaliza Abdul Wahab, Fatimah Sham Ismail, Mu’azu Jibrin Musa, Mohd Hakim Ab Halim, Aznah Nor Anuar
Publikováno v:
Membranes, Vol 11, Iss 8, p 554 (2021)
Support vector regression (SVR) models have been designed to predict the concentration of chemical oxygen demand in sequential batch reactors under high temperatures. The complex internal interaction between the sludge characteristics and their influ
Externí odkaz:
https://doaj.org/article/de8bcf7e52e4478a98e95d3a333c11b9
Autor:
Nur Sakinah Ahmad, Noran Naqiah Hairi, Mas Ayu Said, Shahrul Bahyah Kamaruzzaman, Wan Yuen Choo, Farizah Hairi, Sajaratulnisah Othman, Norliana Ismail, Devi Peramalah, Shathanapriya Kandiben, Zainudin Mohd Ali, Sharifah Nor Ahmad, Inayah Abdul Razak, Awang Bulgiba
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0206445 (2018)
OBJECTIVES:This study aims to describe the prevalence and transitions of frailty among rural-community dwelling older adults in Malaysia and to analyse factors associated with different states of frailty transition. Frailty was conceptualized using m
Externí odkaz:
https://doaj.org/article/5f5076ddb0814d32aceeaae5d42062b6
Publikováno v:
IIUM Journal of Educational Studies. 8:112-130
This study explored the process of how Malay primary ESL learners build English vocabulary using multimedia technology. With this purpose, students’ choices of multimedia technology tools and the reasons behind the choices were investigated. The qu
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 9:1835-1843
Aerobic granular sludge (AGS) is one of the treatment methods often used in wastewater systems. The dynamic behavior of AGS is complex and hard to predict especially when it comes to a limited data set. Theoretically, support vector machine (SVM) is
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811939228
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec61aed6a228bbb54c6dedb6e869db16
https://doi.org/10.1007/978-981-19-3923-5_46
https://doi.org/10.1007/978-981-19-3923-5_46
To comply with growing demand for high effluent quality of Domestic Wastewater Treatment Plant (WWTP), a simple and reliable prediction model is thus needed. The wastewater treatment technology considered in this paper is an Aerobic Granular Sludge (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a92a59977b63c1aa6a6dc7682135b8e
https://zenodo.org/record/4120235
https://zenodo.org/record/4120235
Autor:
Yasmin, Nur Sakinah Ahmad1, Gaya, Muhammad Sani2, Wahab, Norhaliza Abdul1 aliza@fke.utm.my, Sam, Yahaya Md1
Publikováno v:
Telkomnika. Jun2017, Vol. 15 Issue 2, p912-918. 7p.
Autor:
Norhaliza Abdul Wahab, Nur Sakinah Ahmad Yasmin, Fatimah Sham Ismail, Mohd Hakim Ab Halim, Mu’azu Jibrin Musa, Aznah Nor Anuar
Publikováno v:
Membranes
Volume 11
Issue 8
Membranes, Vol 11, Iss 554, p 554 (2021)
Volume 11
Issue 8
Membranes, Vol 11, Iss 554, p 554 (2021)
Support vector regression (SVR) models have been designed to predict the concentration of chemical oxygen demand in sequential batch reactors under high temperatures. The complex internal interaction between the sludge characteristics and their influ
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811065019
Membrane bioreactor (MBR) is one of the advanced and new efficient reliable technology that replace the conventional activated sludge process in wastewater treatment plant. Therefore, understanding of dynamic behaviour of membrane filtration process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12dab02fc337da297f140da583fb1976
https://doi.org/10.1007/978-981-10-6502-6_42
https://doi.org/10.1007/978-981-10-6502-6_42