Artificial intelligence applications in the field of streamflow: a bibliometric analysis of recent trends
G Özdoğan Sarıkoç - Hydrological Sciences Journal, 2024 - Taylor & Francis
In this study, a bibliometric analysis technique is used for performance analysis and science
map** of artificial intelligence (AI) applications in streamflow research. This paper …
map** of artificial intelligence (AI) applications in streamflow research. This paper …
Incorporating hydrological constraints with deep learning for streamflow prediction
Y Zhou, Y Duan, H Yao, X Li, S Li - Expert Systems with Applications, 2025 - Elsevier
Streamflow prediction is a fundamental task serving for flood prevention and efficient water
resource management. Deep learning-based methods have emerged as the dominant …
resource management. Deep learning-based methods have emerged as the dominant …
Hybrid physically based and machine learning model to enhance high streamflow prediction
Despite the significant performance of machine learning models for streamflow prediction,
their precision for poorly represented data is reduced. This is a concern for flood mitigation …
their precision for poorly represented data is reduced. This is a concern for flood mitigation …
On the use of temporal evolution of persistence for change point detection of streamflow datasets
A Sankaran, V Anilkumar, MH Shajudeen… - Environmental Earth …, 2024 - Springer
Change points (CPs) in streamflow time series are indicative of abrupt shifts and the
effective capturing of CPs are useful pre-requisite for accurate modeling of streamfows. The …
effective capturing of CPs are useful pre-requisite for accurate modeling of streamfows. The …
A hybrid deep learning approach for streamflow prediction utilizing watershed memory and process-based modeling
Accurate streamflow prediction is essential for optimal water management and disaster
preparedness. While data-driven methods' performance often surpasses process-based …
preparedness. While data-driven methods' performance often surpasses process-based …
[HTML][HTML] Daily Streamflow Forecasting Using AutoML and Remote-Sensing-Estimated Rainfall Datasets in the Amazon Biomes
M Bodini - Signals, 2024 - mdpi.com
Reliable streamflow forecasting is crucial for several tasks related to water-resource
management, including planning reservoir operations, power generation via Hydroelectric …
management, including planning reservoir operations, power generation via Hydroelectric …
[HTML][HTML] Coupling SWAT and Transformer Models for Enhanced Monthly Streamflow Prediction
J Tao, Y Gu, X Yin, J Chen, T Ao, J Zhang - Sustainability, 2024 - mdpi.com
The establishment of an accurate and reliable predictive model is essential for water
resources planning and management. Standalone models, such as physics-based …
resources planning and management. Standalone models, such as physics-based …