Original Research

Published on 18 Dec 2024

Integrating groundwater pumping data with regression-enhanced random forest models to improve groundwater monitoring and management in a coastal region

in Water and Artificial Intelligence

Jamie Kim
Yueling Ma
Reed M. Maxwell

Frontiers in Water

doi 10.3389/frwa.2024.1509945

390 views

Original Research

Published on 13 Nov 2024

Convolutional long short-term memory neural network for groundwater change prediction

in Water and Artificial Intelligence

Sumriti Ranjan Patra
Hone-Jay Chu

Frontiers in Water

doi 10.3389/frwa.2024.1471258

591 views

Correction

Published on 18 Sep 2024

Corrigendum: Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques

in Water and Artificial Intelligence

Elias S. Leggesse
Fasikaw A. Zimale
Dagnenet Sultan
Temesgen Enku
Seifu A. Tilahun

Frontiers in Water

doi 10.3389/frwa.2024.1489691

293 views

Original Research

Published on 20 Aug 2024

Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques

in Water and Artificial Intelligence

Elias S. Leggesse
Fasikaw A. Zimale
Dagnenet Sultan
Temesgen Enku
Seifu A. Tilahun

Frontiers in Water

doi 10.3389/frwa.2024.1432280

1,282 views

Original Research

Published on 22 May 2024

Improving monthly precipitation prediction accuracy using machine learning models: a multi-view stacking learning technique

in Water and Artificial Intelligence

Mounia El Hafyani
Khalid El Himdi
Salah-Eddine El Adlouni

Frontiers in Water

doi 10.3389/frwa.2024.1378598

1,409 views
1 citation

Original Research

Published on 09 May 2024

Reinforcement learning for watershed and aquifer management: a nationwide view in the country of Mexico with emphasis in Baja California Sur

in Water and Artificial Intelligence

Roberto Ortega
Dana Carciumaru
Alexandra D. Cazares-Moreno

Frontiers in Water

doi 10.3389/frwa.2024.1384595

1,167 views

Original Research

Published on 21 Feb 2024

Deep Convolutional LSTM for improved flash flood prediction

in Water and Artificial Intelligence

Perry C. Oddo
John D. Bolten
Sujay V. Kumar
Brian Cleary

Frontiers in Water

doi 10.3389/frwa.2024.1346104

3,263 views
2 citations

Original Research

Published on 26 Jan 2024

Fuzzy C-Means clustering for physical model calibration and 7-day, 10-year low flow estimation in ungaged basins: comparisons to traditional, statistical estimates

in Water and Artificial Intelligence

Andrew DelSanto
Richard N. Palmer
Konstantinos Andreadis

Frontiers in Water

doi 10.3389/frwa.2024.1332888

978 views

Original Research

Published on 17 Jan 2024

Operational low-flow forecasting using LSTMs

in Water and Artificial Intelligence

Jing Deng
Anaïs Couasnon
Ruben Dahm
Markus Hrachowitz
Klaas-Jan van Heeringen
Hans Korving
Albrecht Weerts
Riccardo Taormina

Frontiers in Water

doi 10.3389/frwa.2023.1332678

2,463 views
1 citation

Original Research

Published on 13 Dec 2023

Investigating machine learning and ensemble learning models in groundwater potential mapping in arid region: case study from Tan-Tan water-scarce region, Morocco

in Water and Artificial Intelligence

Abdessamad Jari
El Mostafa Bachaoui
Soufiane Hajaj
Achraf Khaddari
Younes Khandouch
Abderrazak El Harti
Amine Jellouli
Mustapha Namous

Frontiers in Water

doi 10.3389/frwa.2023.1305998

2,257 views
2 citations

Original Research

Published on 06 Dec 2023

Advancing deep learning-based detection of floating litter using a novel open dataset

in Water and Artificial Intelligence

Tianlong Jia
Andre Jehan Vallendar
Rinze de Vries
Zoran Kapelan
Riccardo Taormina

Frontiers in Water

doi 10.3389/frwa.2023.1298465

2,062 views
3 citations

Original Research

Published on 27 Oct 2023

NeuralFlood: an AI-driven flood susceptibility index

in Water and Artificial Intelligence

Justice Lin
Chhayly Sreng
Emma Oare
Feras A. Batarseh

Frontiers in Water

doi 10.3389/frwa.2023.1291305

8,230 views
4 citations

Original Research

Published on 17 Oct 2023

An active learning convolutional neural network for predicting river flow in a human impacted system

in Water and Artificial Intelligence

Scott M. Reed

Frontiers in Water

doi 10.3389/frwa.2023.1271780

1,020 views

Original Research

Published on 14 Sep 2023

The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco

in Water and Artificial Intelligence

Tarik Bouramtane
Marc Leblanc
Ilias Kacimi
Hamza Ouatiki
Abdelghani Boudhar

Frontiers in Water

doi 10.3389/frwa.2023.1241451

2,104 views
2 citations

Original Research

Published on 13 Jul 2023

Application of machine learning and deep neural networks for spatial prediction of groundwater nitrate concentration to improve land use management practices

in Water and Artificial Intelligence

Divas Karimanzira
Jonas Weis
Andreas Wunsch
Linda Ritzau
Tanja Liesch
Marc Ohmer

Frontiers in Water

doi 10.3389/frwa.2023.1193142

2,536 views
3 citations

Original Research

Published on 30 Jun 2023

Forecasting bacteriological presence in treated drinking water using machine learning

in Water and Artificial Intelligence

Grigorios Kyritsakas
Joby Boxall
Vanessa Speight

Frontiers in Water

doi 10.3389/frwa.2023.1199632

3,182 views
6 citations

Navigation group

Articles

Integrating groundwater pumping data with regression-enhanced random forest models to improve groundwater monitoring and management in a coastal region

Convolutional long short-term memory neural network for groundwater change prediction

Corrigendum: Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques

Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques

Improving monthly precipitation prediction accuracy using machine learning models: a multi-view stacking learning technique

Reinforcement learning for watershed and aquifer management: a nationwide view in the country of Mexico with emphasis in Baja California Sur

Deep Convolutional LSTM for improved flash flood prediction

Fuzzy C-Means clustering for physical model calibration and 7-day, 10-year low flow estimation in ungaged basins: comparisons to traditional, statistical estimates

Operational low-flow forecasting using LSTMs

Investigating machine learning and ensemble learning models in groundwater potential mapping in arid region: case study from Tan-Tan water-scarce region, Morocco

Advancing deep learning-based detection of floating litter using a novel open dataset

NeuralFlood: an AI-driven flood susceptibility index

An active learning convolutional neural network for predicting river flow in a human impacted system

The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco

Application of machine learning and deep neural networks for spatial prediction of groundwater nitrate concentration to improve land use management practices

Forecasting bacteriological presence in treated drinking water using machine learning