Search Results - "QUILTY, John"

A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations by Sikorska-Senoner, Anna E., Quilty, John M.

“…A novel ensemble-based conceptual-data-driven approach (CDDA) is developed where a data-driven model (DDM) is used to “correct” the residuals from an ensemble…”
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Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq by Yaseen, Zaher Mundher, Jaafar, Othman, Deo, Ravinesh C., Kisi, Ozgur, Adamowski, Jan, Quilty, John, El-Shafie, Ahmed

“…•Non-tuned data-driven approach is investigated for monthly stream-flow forecasting.•The model is examined for river flow located in semi-arid environment.•A…”
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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 by Quilty, John, Adamowski, Jan, Boucher, Marie‐Amélie

“…In water resources applications (e.g., streamflow, rainfall‐runoff, urban water demand [UWD], etc.), ensemble member selection and ensemble member weighting…”
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A stochastic conceptual-data-driven approach for improved hydrological simulations by Quilty, John M., Sikorska-Senoner, Anna E., Hah, David

“…In a companion paper, Sikorska-Senoner and Quilty (2021) introduced the ensemble-based conceptual-data-driven approach (CDDA) for improving hydrological…”
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Bootstrap rank‐ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling by Quilty, John, Adamowski, Jan, Khalil, Bahaa, Rathinasamy, Maheswaran

“…The input variable selection problem has recently garnered much interest in the time series modeling community, especially within water resources applications,…”
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Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada by Barzegar, Rahim, Ghasri, Mahsa, Qi, Zhiming, Quilty, John, Adamowski, Jan

“…•Bootstrap ELM and LSSVM used for ice river thickness estimation.•Easy to measure meteorological variables used as predictors.•Bootstrap ELM model outperformed…”
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Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle by Deo, Ravinesh C., Downs, Nathan, Parisi, Alfio V., Adamowski, Jan F., Quilty, John M.

“…Exposure to erythemally-effective solar ultraviolet radiation (UVR) that contributes to malignant keratinocyte cancers and associated health-risk is best…”
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Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model by Deo, Ravinesh C., Tiwari, Mukesh K., Adamowski, Jan F., Quilty, John M.

“…A drought forecasting model is a practical tool for drought-risk management. Drought models are used to forecast drought indices (DIs) that quantify drought by…”
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Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting by Mouatadid, Soukayna, Adamowski, Jan F., Tiwari, Mukesh K., Quilty, John M.

“…•A long short-term (LSTM) memory network is developed for irrigation flow forecasting.•The LSTM model is coupled with a maximal overlap discrete wavelet…”
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Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions by KHOSRAVI, Khabat, NGO, Phuong T.T., BARZEGAR, Rahim, QUILTY, John, AALAMI, Mohammad T., BUI, Dieu T.

“…Water infiltration into soil is an important process in hydrologic cycle; however, its measurement is difficult, time-consuming and costly. Empirical and…”
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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 by Quilty, John, Adamowski, Jan

“…•Many proposed wavelet-based forecast models are developed incorrectly.•These models cannot be used correctly for real-world forecasting problems.•Best…”
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A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting – A case study in the Awash River Basin (Ethiopia) by Quilty, John, Adamowski, Jan

“…This study introduces the maximal overlap discrete wavelet packet transform (MODWPT) for forecasting hydrological variables that exhibit change over multiple…”
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A stochastic wavelet-based data-driven framework for forecasting uncertain multiscale hydrological and water resources processes by Quilty, John, Adamowski, Jan

“…Recently, a stochastic data-driven framework was introduced for forecasting uncertain multiscale hydrological and water resources processes (e.g., streamflow,…”
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Generative deep learning for probabilistic streamflow forecasting: Conditional variational auto-encoder by Jahangir, Mohammad Sina, Quilty, John

“…•Generative Deep learning models were developed for streamflow forecasting.•A specific generative model, conditional variational auto-encoder was…”
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Probabilistic urban water demand forecasting using wavelet-based machine learning models by Rezaali, Mostafa, Quilty, John, Karimi, Abdolreza

“…•ANN, LSSVM, RELM, RF, and wavelet-based versions applied for hourly UWD forecasting.•Deterministic and probabilistic forecasts considered.•Permutation- and…”
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A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting by Jahangir, Mohammad Sina, You, John, Quilty, John

“…•Quantile-based encoder-decoder models proposed for probabilistic runoff forecasting.•Proposed models more accurate and reliable than benchmarks for 3 test…”
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Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones by Roy, Dilip Kumar, Barzegar, Rahim, Quilty, John, Adamowski, Jan

“…•Hybridized ANFIS models are proposed for predicting ET0.•Performances of the hybrid models are compared with the classic ANFIS model.•Entropy, variation…”
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On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction by Ghaemi, Alireza, Rezaie-Balf, Mohammad, Adamowski, Jan, Kisi, Ozgur, Quilty, John

“…•MARS and MT models were developed to estimate Epan from Turkey’s meteorological stations.•The MODWT algorithm approach was applied to enhance proposed models’…”
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Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms by Rahman, A.T.M. Sakiur, Hosono, Takahiro, Quilty, John M., Das, Jayanta, Basak, Amiya

“…•Machine learning models coupled with wavelet transforms for GWL forecasting.•eXtreme Gradient Boosting, Random Forests, and Support Vector Regression…”
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Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS by Goyal, Manish Kumar, Bharti, Birendra, Quilty, John, Adamowski, Jan, Pandey, Ashish

“…•Four new machine learning techniques explored for pan evaporation estimation.•The study area was the sub-tropical Karso watershed in India.•Traditional…”
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