Ensemble machine learning paradigms in hydrology: A review
Recently, there has been a notable tendency towards employing ensemble learning
methodologies in assorted areas of engineering, such as hydrology, for simulation and …
methodologies in assorted areas of engineering, such as hydrology, for simulation and …
[HTML][HTML] A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting
G Papacharalampous, H Tyralis - Frontiers in Water, 2022 - frontiersin.org
Probabilistic forecasting is receiving growing attention nowadays in a variety of applied
fields, including hydrology. Several machine learning concepts and methods are notably …
fields, including hydrology. Several machine learning concepts and methods are notably …
[HTML][HTML] Advanced machine learning techniques to improve hydrological prediction: A comparative analysis of streamflow prediction models
The management of water resources depends heavily on hydrological prediction, and
advances in machine learning (ML) present prospects for improving predictive modelling …
advances in machine learning (ML) present prospects for improving predictive modelling …
Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study
Prediction of river flow rates is an essential task for both flood protection and optimal water
resource management. The high uncertainty associated with basin characteristics …
resource management. The high uncertainty associated with basin characteristics …
Neuroforecasting of daily streamflows in the UK for short-and medium-term horizons: A novel insight
F Granata, F Di Nunno - Journal of Hydrology, 2023 - Elsevier
Predicting streamflows, which is crucial for flood defence and optimal management of water
resources for drinking, irrigation, hydropower generation and ecosystem conservation, is a …
resources for drinking, irrigation, hydropower generation and ecosystem conservation, is a …
Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for …
In this study, it was investigated that how machine learning (ML) methods show performance
in different problems having different characteristics. Six ML approaches including Artificial …
in different problems having different characteristics. Six ML approaches including Artificial …
Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms
Groundwater level (GWL) forecasting is crucial for irrigation scheduling, water supply and
land development. Machine learning (ML)(eg, artificial neural networks) has been …
land development. Machine learning (ML)(eg, artificial neural networks) has been …
[HTML][HTML] A stacking ensemble model of various machine learning models for daily runoff forecasting
M Lu, Q Hou, S Qin, L Zhou, D Hua, X Wang, L Cheng - Water, 2023 - mdpi.com
Background: Open Access Editor's Choice Article A Stacking Ensemble Model of Various
Machine Learning Models for Daily Runoff Forecasting by Mingshen Lu 1, 2, Qinyao Hou 1 …
Machine Learning Models for Daily Runoff Forecasting by Mingshen Lu 1, 2, Qinyao Hou 1 …
Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia
Lead (Pb) is a primary toxic heavy metal (HM) which present throughout the entire
ecosystem. Some commonly observed challenges in HM (Pb) prediction using artificial …
ecosystem. Some commonly observed challenges in HM (Pb) prediction using artificial …
Integrating Machine Learning and AI for Improved Hydrological Modeling and Water Resource Management
DMS Zekrifa, M Kulkarni, A Bhagyalakshmi… - … Applications in Water …, 2023 - igi-global.com
The hydrological cycle is an important process that controls how and where water is
distributed on Earth. It includes processes including transpiration, evaporation …
distributed on Earth. It includes processes including transpiration, evaporation …