Jan Adamowski

Overview

Best Publications

• Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

  Vahid Nourani;Aida Hosseini Baghanam;Jan Adamowski;Ozgur Kisi

  798
  Citations

• A wavelet neural network conjunction model for groundwater level forecasting

  Jan Adamowski;Hiu Fung Chan

  762
  Citations

• An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

  Bahram Choubin;Bahram Choubin;Ehsan Moradi;Mohammad Golshan;Jan Adamowski

  725
  Citations

• A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

  Khabat Khosravi;Himan Shahabi;Binh Thai Pham;Jan Adamowski

  687
  Citations

• Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada

  Jan Adamowski;Hiu Fung Chan;Shiv O. Prasher;Bogdan Ozga-Zielinski

  582
  Citations

• 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

  506
  Citations

• Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

  Rahim Barzegar;Rahim Barzegar;Mohammad Taghi Aalami;Jan Adamowski

  496
  Citations

• Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.

  Jan Adamowski;Karen Sun

  494
  Citations

• 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

  Santosh M. Pingale;Deepak Khare;Mahesh K. Jat;Jan Adamowski

  393
  Citations

• Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008)

  D. Nalley;J. Adamowski;B. Khalil

  330
  Citations

• A Century of Observations Reveals Increasing Likelihood of Continental-Scale Compound Dry-Hot Extremes

  Mohammad Reza Alizadeh;Jan Adamowski;Mohammad Reza Nikoo;Amir AghaKouchak

  325
  Citations

• Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

  Manish Kumar Goyal;Birendra Bharti;John Quilty;Jan Franklin Adamowski

  318
  Citations

• Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq

  Zaher Mundher Yaseen;Othman Jaafar;Ravinesh C. Deo;Ozgur Kisi

  316
  Citations

• Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

  Mohanad S. Al-Musaylh;Ravinesh C. Deo;Ravinesh C. Deo;Jan Franklin Adamowski;Yan Li

  316
  Citations

• Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms

  Jan Adamowski;Jan Adamowski;Christina Karapataki;Christina Karapataki

  310
  Citations

• A novel multi criteria decision making model for optimizing time-cost-quality trade-off problems in construction projects

  Shahryar Monghasemi;Mohammad Reza Nikoo;Mohammad Ali Khaksar Fasaee;Jan Adamowski

  262
  Citations

• Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis

  Jan F. Adamowski

  253
  Citations

• Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models

  Mukesh K. Tiwari;Jan Adamowski

  248
  Citations

• Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks

  Jan Franklin Adamowski

  248
  Citations

• A critical review on the application of the National Sanitation Foundation Water Quality Index

  Roohollah Noori;Ronny Berndtsson;Majid Hosseinzadeh;Jan Franklin Adamowski

  238
  Citations

• Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

  Ravinesh C. Deo;Mukesh K. Tiwari;Jan F. Adamowski;John M. Quilty

  232
  Citations

• Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data

  Jan Adamowski;Hiu Fung Chan;Shiv O. Prasher;Vishwa Nath Sharda

  208
  Citations

• Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework.

  John Quilty;Jan Adamowski

  206
  Citations

• Standard precipitation index drought forecasting using neural networks, wavelet neural networks, and support vector regression

  A. Belayneh;J. Adamowski

  197
  Citations