Takip et
Usman T Khan
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study
D Rincón, UT Khan, C Armenakis
Geosciences 8 (8), 275, 2018
2482018
Bioretention cell efficacy in cold climates: Part 1—hydrologic performance
UT Khan, C Valeo, A Chu, B Van Duin
Canadian Journal of Civil Engineering 39 (11), 1210-1221, 2012
1022012
A comprehensive review of low impact development models for research, conceptual, preliminary and detailed design applications
S Kaykhosravi, UT Khan, A Jadidi
Water 10 (11), 1541, 2018
992018
A comprehensive comparison of four input variable selection methods for artificial neural network flow forecasting models
E Snieder, R Shakir, UT Khan
Journal of Hydrology 583, 124299, 2020
782020
An Overview of Opportunities for Machine Learning Methods in Underground Rock Engineering Design
J Morgenroth, UT Khan, MA Perras
Geosciences 9 (12), 504, 2019
762019
Bioretention cell efficacy in cold climates: Part 2—water quality performance
UT Khan, C Valeo, A Chu, B Van Duin
Canadian Journal of Civil Engineering 39 (11), 1222-1233, 2012
622012
A new fuzzy linear regression approach for dissolved oxygen prediction
UT Khan, C Valeo
Hydrological Sciences Journal 60 (6), 1096-1119, 2015
572015
River flood prediction using fuzzy neural networks: an investigation on automated network architecture
UT Khan, J He, C Valeo
Water Science and Technology 2017 (1), 238-247, 2018
462018
The low-impact development demand index: a new approach to identifying locations for LID
S Kaykhosravi, K Abogadil, UT Khan, MA Jadidi
Water 11 (11), 2341, 2019
422019
Short-Term Peak Flow Rate Prediction and Flood Risk Assessment Using Fuzzy Linear Regression.
UT Khan, C Valeo
Journal of Environmental Informatics 28 (2), 2016
402016
A data driven approach to bioretention cell performance: prediction and design
UT Khan, C Valeo, A Chu, J He
Water 5 (1), 13-28, 2013
40*2013
Dissolved oxygen prediction using a possibility-theory based fuzzy neural network
UT Khan, C Valeo
Hydrol. Earth Syst. Sci. 20 (6), 2267-2293, 2016
382016
Comparing A Bayesian and Fuzzy Number Approach to Uncertainty Quantification in Short-Term Dissolved Oxygen Prediction.
UT Khan, C Valeo
Journal of Environmental Informatics 30 (1), 2017
372017
Resampling and ensemble techniques for improving ANN-based high-flow forecast accuracy
E Snieder, K Abogadil, UT Khan
Hydrology and Earth System Sciences 25 (5), 2543–2566, 2021
362021
The effect of climate change and urbanization on the demand for low impact development for three Canadian cities
S Kaykhosravi, UT Khan, MA Jadidi
Water 12 (5), 1280, 2020
332020
Non-linear fuzzy-set based uncertainty propagation for improved DO prediction using multiple-linear regression
UT Khan, C Valeo, J He
Stochastic Environmental Research and Risk Assessment 27, 599-616, 2013
272013
Effects of urban form on wadi flow frequency analysis in the Wadi Aday watershed in Muscat, Oman
GA Al-Rawas, C Valeo, UT Khan, OH Al-Hafeedh
Urban Water Journal 12 (4), 263-274, 2015
212015
Stochastic flood risk assessment under climate change scenarios for Toronto, Canada using CAPRA
D Rincón, JF Velandia, I Tsanis, UT Khan
Water 14 (2), 227, 2022
202022
Optimising fuzzy neural network architecture for dissolved oxygen prediction and risk analysis
UT Khan, C Valeo
Water 9 (6), 381, 2017
192017
A simplified geospatial model to rank LID solutions for urban runoff management
S Kaykhosravi, UT Khan, MA Jadidi
Science of The Total Environment 831, 154937, 2022
152022
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