A5054924008- Hydrology and Drought Analysis
- Climate variability and models
- Precipitation Measurement and Analysis
- Statistical Distribution Estimation and Applications
- Financial Risk and Volatility Modeling
- Spectroscopy and Chemometric Analyses
- Education and Islamic Studies
- Probability and Risk Models
- Flood Risk Assessment and Management
- Multi-Criteria Decision Making
- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- Advanced Statistical Methods and Models
- Air Quality Monitoring and Forecasting
- Statistical Methods and Bayesian Inference
- Insurance, Mortality, Demography, Risk Management
- Insurance and Financial Risk Management
- Forensic Fingerprint Detection Methods
- Islamic Finance and Banking Studies
- Forensic and Genetic Research
- Image Processing and 3D Reconstruction
- Spatial and Panel Data Analysis
- Forecasting Techniques and Applications
- Cultural Heritage Materials Analysis
- Spectroscopy Techniques in Biomedical and Chemical Research
National University of Malaysia
2013-2023
National Institutes of Biotechnology Malaysia
2007-2016
Northern University of Malaysia
2015
Delta State University
2013
Wayne State College
2010
Wayne State University
2010
University of British Columbia
2010
Zimmer Biomet (United States)
2010
University of Akron
2010
Southern Illinois University Carbondale
2010
Over the last decades, development of Klang Valley (Malaysia), as an urban commercial and industrial area, has elevated risk atmospheric pollutions. There are several significant sources air pollutants which vary depending on background location they originate from. The aim this study is to determine trend status quality their correlation with meteorological factors at different monitoring stations in Valley. data five major (PM(10), CO, SO(2), O(3), NO(2)) were recorded Alam Sekitar Sdn Bhd...
This paper presents various imputation methods for air quality data specifically in Malaysia.The main objective was to select the best method of and compare whether there any difference used between stations Peninsular Malaysia.Missing cases are randomly simulated with 5, 10, 15, 20, 25 30% missing.Six this were mean median substitution, expectation-maximization (EM) method, singular value decomposition (SVD), K-nearest neighbour (KNN) sequential (SKNN) method.The performance imputations is...
This research presents a statistical study of rainfall which compares several types normal transform distributions that describe distribution in Malaysia over multi-year period. The meaning all tested were established based on some modification or transformation the through methods. lognormal, skew and mixed lognormal are among proposed to identify optimal model for daily amount rain gauge stations Malaysia. selected will be chosen minimum error produced by seven criteria goodness of-fit...
The assessment of a sustainable city is always related to the selection development indicators. There are few initiatives for integrating indicators from various sectors become an integrated index in Malaysia, whereas issues interrelated. In search adequate set develop index, some existing and indices have been reviewed. purpose this article criteria, sustainability major cities Malaysia. study focused on state indicators, indicator framework has developed. Thirty identified based...
In environmental data sets, the occurrence of a high concentration an unusual pollutant, more formally known as anomaly, may indicate air quality problems. Thus, critical understanding behavior anomalies is increasingly becoming very important for pollution investigations. This study was conducted to detect in daily PM10 functional data, investigate patterns well identify possible factors that determine at three selected monitoring stations (Klang, Kuala Selangor and Petaling Jaya) Klang...
In response to our review paper [L. C. Lee et al., Analyst, 2018, 143, 3526-3539], we present a study that compares empirical differences between PLS1-DA and PLS2-DA algorithms in modelling colossal ATR-FTIR spectral dataset. Over the past two decades, partial least squares-discriminant analysis (PLS-DA) has gained wide acceptance huge popularity field of applied research, partly due its dimensionality reduction capability ability handle multicollinear correlated variables. To solve K-class...
Abstract The identification of the most appropriate models to represent rainfall distribution is very important as it can be utilised in various applications such those water resource management, agricultural planning department and hydrological sectors. Various types probability have been introduced applied dry (wet) spells by previous researchers field. With application these models, this study will investigate best describe wet at each 38 stations Peninsular Malaysia for period 1975–2004....