QUAL2K Water Quality Model: A Comprehensive Review of Its Applications, and Limitations
SSM Noor, NA Saad, MFM Akhir… - … Modelling & Software, 2024 - Elsevier
ABSTRACT Achieving Sustainable Development Goals (SDG 6), focused on ensuring the
availability and sustainable water management, is a critical global priority. Attaining this …
availability and sustainable water management, is a critical global priority. Attaining this …
The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation
Floods can cause horrific harm to life and property. However, they can be mitigated or even
avoided by the effective use of hydraulic structures such as dams, gates, and pumps. By pre …
avoided by the effective use of hydraulic structures such as dams, gates, and pumps. By pre …
Enhancing short-term streamflow prediction in the Haihe River Basin through integrated machine learning with Lasso
Y Song, J Zhang - Water Science & Technology, 2024 - iwaponline.com
With the widespread application of machine learning in various fields, enhancing its
accuracy in hydrological forecasting has become a focal point of interest for hydrologists …
accuracy in hydrological forecasting has become a focal point of interest for hydrologists …
Replication Study: Enhancing Hydrological Modeling with Physics-Guided Machine Learning
M Esmaeilzadeh, M Amirzadeh - arXiv preprint arXiv:2402.13911, 2024 - arxiv.org
Current hydrological modeling methods combine data-driven Machine Learning (ML)
algorithms and traditional physics-based models to address their respective limitations …
algorithms and traditional physics-based models to address their respective limitations …
Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization
Monitoring organic matter is pivotal for maintaining soil health and can help inform
sustainable soil management practices. While sensor-based soil information offers higher …
sustainable soil management practices. While sensor-based soil information offers higher …
[PDF][PDF] Comparative Analysis of LSTM and Traditional Time Series Models on Oil Price Data
M Brown, E Chen, S Lee, J Taylor, A Kim, R Johnson - 2024 - preprints.org
Long Short-Term Memory (LSTM) networks have gained attention for their forecasting
capabilities, especially in volatile markets like oil. This study compares LSTM networks with …
capabilities, especially in volatile markets like oil. This study compares LSTM networks with …
[PDF][PDF] HYDRO 2024 INTERNATIONAL
A Deshmukh - ankitdeshmukh.com
Large-Sample Hydrology to Improve Prediction in Ungauged Basin using Information Theory
Techniques HYDRO 2024 INTERNATIONAL Page 1 Large-Sample Hydrology to Improve …
Techniques HYDRO 2024 INTERNATIONAL Page 1 Large-Sample Hydrology to Improve …