Original Research
Accepted on 22 Oct 2024
Convolutional Long Short-Term Memory Neural Network for Groundwater Change Prediction
in Water and Artificial Intelligence
Frontiers in Water
doi 10.3389/frwa.2024.1471258
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27 articles
Articles
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
Frontiers in Water
doi 10.3389/frwa.2024.1489691
- 238 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
Frontiers in Water
doi 10.3389/frwa.2024.1432280
- 942 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
Frontiers in Water
doi 10.3389/frwa.2024.1378598
- 1,064 views
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
Frontiers in Water
doi 10.3389/frwa.2024.1384595
- 1,029 views
Original Research
Published on 21 Feb 2024
Deep Convolutional LSTM for improved flash flood prediction
in Water and Artificial Intelligence
Frontiers in Water
doi 10.3389/frwa.2024.1346104
- 2,737 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
Frontiers in Water
doi 10.3389/frwa.2024.1332888
- 880 views
Original Research
Published on 17 Jan 2024
Operational low-flow forecasting using LSTMs
in Water and Artificial Intelligence
Frontiers in Water
doi 10.3389/frwa.2023.1332678
- 2,254 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
Frontiers in Water
doi 10.3389/frwa.2023.1305998
- 2,055 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
Frontiers in Water
doi 10.3389/frwa.2023.1298465
- 1,802 views
- 2 citations
Original Research
Published on 27 Oct 2023
NeuralFlood: an AI-driven flood susceptibility index
in Water and Artificial Intelligence
Frontiers in Water
doi 10.3389/frwa.2023.1291305
- 7,918 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
Frontiers in Water
doi 10.3389/frwa.2023.1271780
- 931 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
Frontiers in Water
doi 10.3389/frwa.2023.1241451
- 1,953 views
- 1 citation
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
Frontiers in Water
doi 10.3389/frwa.2023.1193142
- 2,362 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
Frontiers in Water
doi 10.3389/frwa.2023.1199632
- 3,038 views
- 6 citations
Original Research
Published on 23 Jun 2023
Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations
in Water and Artificial Intelligence
Frontiers in Water
doi 10.3389/frwa.2023.1184992
- 1,859 views
- 2 citations