John Quilty

发表

A stochastic data-driven forecasting framework using wavelets for forecasting uncertain hydrological and water resources processes

Jan Adamowski, John Quilty, 2018 .

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, J. Adamowski, 2018, Journal of Hydrology.

Stochastic weather inputs for improved urban water demand forecasting: application of nonlinear input variable selection and machine learning methods

Jan Adamowski, John Quilty, J. Adamowski, 2015 .

Using a boundary-corrected wavelet transform coupled with machine learning and hybrid deep learning approaches for multi-step water level forecasting in Lakes Michigan and Ontario

Jan Adamowski, Mohammad Taghi Aalami, John Quilty, 2020 .

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

Jan Adamowski, Ashish Pandey, John Quilty, 2014, Expert Syst. Appl..

A Stochastic Data‐Driven Ensemble Forecasting Framework for Water Resources: A Case Study Using Ensemble Members Derived From a Database of Deterministic Wavelet‐Based Models

Marie-Amélie Boucher, John Quilty, Jan Adamowski, 2019, Water Resources Research.

Method and apparatus for changing the communication channel allocation

John Quilty, Noel Mannion, 2002 .

Using the COMPA autonomous architecture for mobile network security

John Keeney, Liam Fallon, Sven van der Meer, 2017, 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).

Information-theoretic-based input variable selection for hydrology and water resources

Jan Adamowski, Maheswaran Rathinasamy, John Quilty, 2018 .

Improving Deep Learning hydrological time series modeling using Gaussian Filter preprocessing

Jan Adamowski, John Quilty, Rahim Barzegar, 2021 .

Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models

Jan Adamowski, John Quilty, Rahim Barzegar, 2021, Journal of Hydrology.

A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting - A case study in the Awash River Basin (Ethiopia)

John Quilty, Jan Franklin Adamowski, J. Adamowski, 2021, Environ. Model. Softw..

Probabilistic urban water demand forecasting using wavelet-based machine learning models

John Quilty, Mostafa Rezaali, Abdolreza Karimi, 2021 .

A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations

John Quilty, Anna E. Sikorska-Senoner, J. Quilty, 2021, Environ. Model. Softw..

Advanced Hybrid Machine Learning Algorithms for Multistep Lake Water Level Forecasting

Jan Adamowski, Khabat Khosravi, John Quilty, 2021 .

Bootstrap rank‐ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling

Jan Adamowski, Maheswaran Rathinasamy, John Quilty, 2016 .

On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction

Ozgur Kisi, Jan Adamowski, Mohammad Rezaie-Balf, 2019, Agricultural and Forest Meteorology.

Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction

Jan Adamowski, John Quilty, Bahaa Khalil, 2016 .

Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada

Jan Adamowski, John Quilty, Zhiming Qi, 2019, Journal of Hydrology.