Food, Water, Waste Research Group

Publications

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KAHAR, A. A., PHENG, O. S., WATSON, N. J. and LIM, L. C., 2022. Effect of storage conditions and temperature on dried lemon myrtle leaves quality: International Journal of Postharvest Technology and Innovation International Journal of Postharvest Technology and Innovation. 8(4), 292-312

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FISHER, O. J., RADY, A., EL-BANNA, A. A. A., WATSON, N. J. and EMAISH, H. H., 2022. An image processing and machine learning solution to automate Egyptian cotton lint grading: Textile Research Journal Textile Research Journal.

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AMAN, AAN MOHAMMAD NUSRAT, SELVARAJOO, ANURITA, CHONG, SIEWHUI and TEO, FANG YENN, 2022. Comparative life cycle assessment of pervious concrete production in Malaysia with natural and recycled aggregate INNOVATIVE INFRASTRUCTURE SOLUTIONS. 7(3),

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EMRAN, NAJEEB Y. Y., AHSAN, A., AL-QADAMI, EBRAHIM H. H., EL-SERGANY, M. M., SHAFIQUZZAMAN, M., IMTEAZ, M., NG, A. W. M., TARIQ, M. A. U. R., IDRUS, S., MUSTAFFA, Z. and TEO, F. Y., 2022. Efficiency of a triangular solar still integrated with external PVC pipe solar heater and internal separated condenser SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS. 52,

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MOON, WEI CHEK, SIDEK, LARIYAH MOHD, LAU, TZE LIANG, PUAY, HOW TION, MAJID, TAKSIAH ABDUL, ABD WAHAB, AHMAD KHAIRI and TEO, FANG YENN, 2022. A Shared Vision on the 2004 Indian Ocean Tsunami in Malaysia: Hazard Assessments, Post-Disaster Measures and Research JOURNAL OF MARINE SCIENCE AND ENGINEERING. 10(8),

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GEBRESELASSIE, SELAM S., LECHNER, ALEX M., HILL, MATTHEW J., TEO, FANG YENN and GIBBINS, CHRISTOPHER N., 2022. A review of current knowledge and research priorities for conservation of lentic biodiversity in tropical wet and monsoonal urban landscapes FRESHWATER BIOLOGY. 67(10), 1671-1689

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FUNG, KIT FAI, CHEW, KIM SOON, HUANG, YUK FENG, AHMED, ALI NAJAH, TEO, FANG YENN, NG, JING LIN and ELSHAFIE, AHMED, 2022. Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia AIN SHAMS ENGINEERING JOURNAL. 13(2),

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LAI, SAI HIN, BU, CHUN HOOI, CHIN, REN JIE, GOH, XIANG TING and TEO, FANG YENN, 2022. NEW APPROACH TO PREDICT FECAL COLIFORM REMOVAL FOR STORMWATER BIOFILTER APPLICATIONS IIUM ENGINEERING JOURNAL. 23(2), 45-58

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AL-QADAMI, EBRAHIM HAMID HUSSEIN, MUSTAFFA, ZAHIRANIZA, AL-ATROUSH, MOHAMED EZZAT, MARTINEZ-GOMARIZ, EDUARDO, TEO, FANG YENN and EL-HUSSEINI, YASSER, 2022. A numerical approach to understand the responses of passenger vehicles moving through floodwaters JOURNAL OF FLOOD RISK MANAGEMENT.

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TAN, WOON YANG, LAI, SAI HIN, TEO, FANG YENN and EL-SHAFIE, AHMED, 2022. State-of-the-Art Development of Two-Waves Artificial Intelligence Modeling Techniques for River Streamflow Forecasting ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING.

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BAZRAFSHAN, OMMOLBANIN, EHTERAM, MOHAMMAD, LATIF, SARMAD DASHTI, HUANG, YUK FENG, TEO, FANG YENN, AHMED, ALI NAJAH and EL-SHAFIE, AHMED, 2022. Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models AIN SHAMS ENGINEERING JOURNAL. 13(5),

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HARI PRAHLAD PUVANASVARAN, XUE PIN LIM, SENTHIL KUMAR ARUMUGASAMY, ANURITA SELVARAJOO and FANG YENN TEO, 2022. Prediction of floodwater impacts on vehicle blockages at bridges using artificial neural network E3S Web of Conferences. 347(1), 04005

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HARI PRAHLAD PUVANASVARAN, XUE PIN LIM, SENTHIL KUMAR ARUMUGASAMY, ANURITA SELVARAJOO and FANG YENN TEO, 2022. Prediction of floodwater impacts on vehicle blockages at bridges using artificial neural network In: 2nd International Conference on Civil and Environmental Engineering (ICCEE2022).

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TAN, WOON YANG, LAI, SAI HIN, TEO, FANG YENN, ARMAGHANI, DANIAL JAHED, PAVITRA, KUMAR and EL-SHAFIE, AHMED, 2022. Three Steps towards Better Forecasting for Streamflow Deep Learning APPLIED SCIENCES-BASEL. 12(24),

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SAMARASINGHE, JAYANGA T., MAKUMBURA, RANDIKA K., WICKRAMARACHCHI, CHARUNI, SIRISENA, JEEWANTHI, GUNATHILAKE, MIYURU B., MUTTIL, NITIN, TEO, FANG YENN and RATHNAYAKE, UPAKA, 2022. The Assessment of Climate Change Impacts and Land-use Changes on Flood Characteristics: The Case Study of the Kelani River Basin, Sri Lanka HYDROLOGY. 9(10),
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Food, Water, Waste Research Group

Faculty of Engineering
The University of Nottingham
Nottingham, NG7 2RD


telephone: +44 (0)115 82 32502
email:FWW@nottingham.ac.uk