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HASFAZILAH AHMAT
HASFAZILAH AHMAT
Universiti Teknologi MARA Shah Alam
Verified email at uitm.edu.my
Title
Cited by
Cited by
Year
The reading strategies awareness among English as a second language (ESL) learners in Malaysia’s university
NA Aziz, SA Rahim, EHB Harun, NA Adzmi, H Ahmat, S Bidin, ...
Theory and Practice in Language Studies 1 (7), 778-784, 2011
272011
PM10 analysis for three industrialized areas using extreme value
H Ahmat, AS Yahaya, NA Ramli
Sains Malaysiana 44 (2), 175-185, 2015
212015
The Malaysia PM10 analysis using extreme value
H Ahmat, AS Yahaya, NA Ramli
Journal of Engineering Science and Technology 10 (12), 1560-1574, 2015
182015
Coupling of quantile regression into boosted regression trees (BRT) technique in forecasting emission model of PM10 concentration
WN Shaziayani, AZ Ul-Saufie, H Ahmat, D Al-Jumeily
Air Quality, Atmosphere & Health 14 (10), 1647-1663, 2021
162021
The impact of class absenteeism on student’s academic performance using regression models
N Ahmad, AZ Ul-Saufie, SA Mohamed, H Ahmat, MF Zahari
AIP Conference Proceedings 1974 (1), 2018
142018
Factors influencing student absenteeism in the university
SA Mohamed, AZ Ul-Saufie, N Ahmad, H Ahmat, MF Zahari
AIP Conference Proceedings 1974 (1), 2018
82018
Identification of source contributions to air pollution in penang using factor analysis
MS Jamil, AZUSM Japeri, AAA Bakar, KAM Ali, H Ahmat
International Journal of Integrated Engineering 11 (8), 221-228, 2019
62019
Characteristic and prediction of carbon monoxide concentration using time series analysis in selected urban area in Malaysia
HA Hamid, AZUSM Japeri, H Ahmat
MATEC Web of Conferences 103, 05001, 2017
62017
Prediction of PM10 Extreme Concentrations in Urban Monitoring Stations in Selangor, Malaysia Using Three Parameters Extreme Value Distributions (EVD)
H Ahmat, AS Yahaya, NA Ramli
Journal Teknologi 77 (32), 37-46, 2015
52015
A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration
WN Shaziayani, H Ahmat, TR Razak, AW Zainan Abidin, SN Warris, ...
Atmosphere 13 (12), 2046, 2022
42022
Evaluation of boosted regression tree for the prediction of the maximum 24-hour concentration of particulate matter
WN Shaziayani, AZ Ul-Saufie, SAM Yusoff, H Ahmat, Z Libasin
International Journal of Environmental Science and Development 12 (4), 2021
42021
Classification of high and low level of PM10 concentrations in Klang and Shah Alam, Malaysia
H Ahmat, NS Musa, N Nazamid, NA Zaharin
Malaysian Journal of Computing (MJoC) 4 (2), 325-334, 2019
32019
The analysis of PM10 concentrations using the generalized extreme value (GEV) and generalized Pareto distribution (GPD) in the Bayesian approach
H Ahmat, AS Yahaya
AIP Conference Proceedings 1974 (1), 2018
32018
Single and multiple imputation method to replace missing values in air pollution datasets: a review
Z Libasin, AZ Ul-Saufie, H Ahmat, WN Shaziayani
IOP Conference Series: Earth and Environmental Science 616 (1), 012002, 2020
22020
Enhancing attendance and student exam score based on mobile attendance application
N Ahmad, SA Mohamed, AZ Ul-Saufie, H Ahmat, FA Alias
ESTEEM Academic Journal 16, 38-46, 2020
22020
PREDICTION OF PM10 EXTREME CONCENTRATIONS IN SELECTED INDUSTRIAL MONITORING STATIONS IN MALAYSIA USING EXTREME VALUE …
H Ahmat, AS Yahaya, NA Ramli
ESTEEM 12 (1), 2016
22016
ANALYSIS OF PM10 USING EXTREME VALUE THEORY.
H Ahmat, AS Yahaya, NA Ramli, HA Hamid
ESTEEM 11, 2015
22015
Prediction of PM10 extreme concentrations using three parameters extreme value distributions (EVD)
H Ahmat, AS Yahaya, NA Ramli
Sixth International Conference on Postgraduate Education (ICPE-6), 2014
22014
A 24-hour forecasting of PM10 concentration in urban area
WNSWM Rosly, AZ Ul-Saufie, H Ahmat
AIP Conference Proceedings 2013 (1), 2018
12018
Tahap pembudayaan ICT (Information & Communication Technology) di kalangan pensyarah UiTM Pulau Pinang dan UiTM Perlis
K Md Taha, TM Tuan Mat, H Ahmat
Institute of Research, Development and Commercialization (IRDC), 2006
12006
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Articles 1–20