Theo dơi
Jan Franklin Adamowski
Jan Franklin Adamowski
Professor of Bioresource Engineering, Faculty of Agricultural and Environmental Sciences, McGill
Email được xác minh tại - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
A wavelet neural network conjunction model for groundwater level forecasting
J Adamowski, HF Chan
Journal of Hydrology 407 (1-4), 28-40, 2011
Applications of hybrid wavelet–artificial intelligence models in hydrology: a review
V Nourani, AH Baghanam, J Adamowski, O Kisi
Journal of Hydrology 514, 358-377, 2014
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
B Choubin, E Moradi, M Golshan, J Adamowski, F Sajedi-Hosseini, ...
Science of the Total Environment 651, 2087-2096, 2019
Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for …
J Adamowski, H Fung Chan, SO Prasher, B Ozga‐Zielinski, A Sliusarieva
Water Resources Research 48 (1), 2012
A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods
K Khosravi, H Shahabi, BT Pham, J Adamowski, A Shirzadi, B Pradhan, ...
Journal of Hydrology 573, 311-323, 2019
Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds
J Adamowski, K Sun
Journal of Hydrology 390 (1-2), 85-91, 2010
Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models
A Belayneh, J Adamowski, B Khalil, B Ozga-Zielinski
Journal of Hydrology 508, 418-429, 2014
Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India
SM Pingale, D Khare, MK Jat, J Adamowski
Atmospheric Research 138, 73-90, 2014
Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008)
D Nalley, J Adamowski, B Khalil
Journal of Hydrology 475, 204-228, 2012
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
R Barzegar, MT Aalami, J Adamowski
Stochastic Environmental Research and Risk Assessment 34 (2), 415-433, 2020
Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms
J Adamowski, C Karapataki
Journal of Hydrologic Engineering 15 (10), 729-743, 2010
Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS
MK Goyal, B Bharti, J Quilty, J Adamowski, A Pandey
Expert Systems with Applications 41 (11), 5267-5276, 2014
Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq
ZM Yaseen, O Jaafar, RC Deo, O Kisi, J Adamowski, J Quilty, A El-Shafie
Journal of Hydrology 542, 603-614, 2016
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
MS Al-Musaylh, RC Deo, JF Adamowski, Y Li
Advanced Engineering Informatics 35, 1-16, 2018
Peak daily water demand forecast modeling using artificial neural networks
JF Adamowski
Journal of Water Resources Planning and Management 134 (2), 119-128, 2008
Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis
JF Adamowski
Journal of Hydrology 353 (3-4), 247-266, 2008
A novel multi criteria decision making model for optimizing time–cost–quality trade-off problems in construction projects
S Monghasemi, MR Nikoo, MAK Fasaee, J Adamowski
Expert Systems with Applications 42 (6), 3089-3104, 2015
Urban water demand forecasting and uncertainty assessment using ensemble wavelet‐bootstrap‐neural network models
MK Tiwari, J Adamowski
Water Resources Research 49 (10), 6486-6507, 2013
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
RC Deo, MK Tiwari, JF Adamowski, JM Quilty
Stochastic Environmental Research and Risk Assessment 31 (5), 1211-1240, 2017
A critical review on the application of the National Sanitation Foundation Water Quality Index
R Noori, R Berndtsson, M Hosseinzadeh, JF Adamowski, MR Abyaneh
Environmental Pollution 244, 575-587, 2019
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