H
Hafizan Juahir
Researcher at Universiti Sultan Zainal Abidin
Publications - 249
Citations - 4827
Hafizan Juahir is an academic researcher from Universiti Sultan Zainal Abidin. The author has contributed to research in topics: Water quality & Drainage basin. The author has an hindex of 32, co-authored 234 publications receiving 3831 citations. Previous affiliations of Hafizan Juahir include University of Malaya & National University of Malaysia.
Papers
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Journal ArticleDOI
Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques.
Hafizan Juahir,Sharifuddin M. Zain,Mohd Kamil Yusoff,T. I. Tengku Hanidza,A. S. Mohd Armi,Mohd Ekhwan Toriman,Mazlin Mokhtar +6 more
TL;DR: It is concluded that the application of environmetric methods can reveal meaningful information on the spatial variability of a large and complex river water quality data.
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A review of biomass-derived heterogeneous catalyst for a sustainable biodiesel production
Sharifah Hanis Yasmin Sayid Abdullah,Nur Hanis Mohamad Hanapi,Azman Azid,Roslan Umar,Hafizan Juahir,Helena Khatoon,Azizah Endut +6 more
TL;DR: A review of bio-based heterogeneous catalysts utilized for sustainable biodiesel production and their suitability for industrial application is presented in this article, where the use of these biomass derived catalysts provides a greener synthesis route for biodiesel synthesis.
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Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors.
TL;DR: The modeling efforts showed that the optimal network architecture was 23-34-1 and that the best WQI predictions were associated with the quick propagation (QP) training algorithm; a learning rate of 0.06; and a QP coefficient of 1.75.
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Spatial Assessment of Air Quality Patterns in Malaysia Using Multivariate Analysis
TL;DR: In this paper, the authors investigated possible sources of air pollution and the spatial patterns within the eight selected Malaysian air monitoring stations based on a two-year database (2008-2009).
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Prediction of the Level of Air Pollution Using Principal Component Analysis and Artificial Neural Network Techniques: a Case Study in Malaysia
Azman Azid,Hafizan Juahir,Mohd Ekhwan Toriman,Mohd Khairul Amri Kamarudin,Ahmad Shakir Mohd Saudi,Che Noraini Che Hasnam,Nor Azlina Abdul Aziz,Fazureen Azaman,Mohd Talib Latif,Syahrir Farihan Mohamed Zainuddin,Mohamad Osman,Mohammad Yamin +11 more
TL;DR: In this article, a combination of principal component analysis (PCA) and artificial neural networks (ANN) was developed to determine its predictive ability for the air pollutant index (API).