[HTML][HTML] Maximum energy entropy: A novel signal preprocessing approach for data-driven monthly streamflow forecasting
AB Dariane, MRM Behbahani - Ecological Informatics, 2024 - Elsevier
In recent years, the application of Data-Driven Models (DDMs) in ecological studies has
garnered significant attention due to their capacity to accurately simulate complex …
garnered significant attention due to their capacity to accurately simulate complex …
Discharge coefficient estimation of modified semi-cylindrical weirs using machine learning approaches
Based on the principles design of hydrofoil weirs, Modified Semi-Cylindrical Weirs (MSCWs)
incorporate an innovative tangential ramp along the downstream crest contour, thereby …
incorporate an innovative tangential ramp along the downstream crest contour, thereby …
Improving deep learning-based streamflow forecasting under trend varying conditions through evaluation of new wavelet preprocessing technique
MRM Behbahani, M Mazarei… - … Research and Risk …, 2024 - Springer
Accurate machine learning streamflow prediction often requires coupling data-driven
models with preprocessing techniques. This study aims to improve the performance of deep …
models with preprocessing techniques. This study aims to improve the performance of deep …
Daily air temperature forecasting using LSTM-CNN and GRU-CNN models
Today, air temperature (AT) is the most critical climatic indicator. This indicator accurately
defines global warming and climate change, despite the fact that it has effects on different …
defines global warming and climate change, despite the fact that it has effects on different …
Can Data Preprocessing Techniques Indeed Improve Short-Term Wind Speed Forecasting Accuracy? A Comprehensive Validation and Discussion
J Pang, S Dong - A Comprehensive Validation and Discussion - papers.ssrn.com
Wind speed is a crucial parameter for wind energy development, and in recent years, data
preprocessing techniques have attracted much attention since they can remarkably improve …
preprocessing techniques have attracted much attention since they can remarkably improve …