A new strategy for prediction of water qualitative and quantitative parameters by deep learning-based models with determination of modelling uncertainties

M Poursaeid, AH Poursaeed - Hydrological Sciences Journal, 2024 - Taylor & Francis
This study presents a new method based on three types of deep learning-based models
(DLM) for estimation of water parameters. The DLM models were recurrent neural networks …

Integrated approach to assessing strength in slag-based geopolymer mortars: experimental study and modeling with advanced techniques

S Kiliçarslan, Ş Bingol - Journal of Materials Science, 2024 - Springer
The study consists of two main parts. In the initial phase, a variety of slag-based geopolymer
mortars with different activator concentrations were prepared. These mortars underwent …

Data Mining Technology of Country's Digital Development Level Assessing for Economic Development and Sustainable Growth: Multivariate Adaptive Regression …

L Serhiy, Y Bilan, K Vitaliia, M Lyudmyla… - Journal of the …, 2024 - Springer
The article deals with an optimal multivariate adaptive regression spline that describes the
dependence of the countries' digital development on the national cyber security index and …

A novel method for estimating daily evapotranspiration based on one, two, and three-day meteorological records using the long short-term memory model combined …

M Sharafi, H Talebi, S Samadianfard… - Earth Science Informatics, 2023 - Springer
In agricultural and hydrological applications, daily reference evapotranspiration (ET) is a key
parameter. Based on one, two, and three-day antecedent meteorological parameters …

GEE RET: Cloud-based reference evapotranspiration calculation with google earth engine

R Barideh, F Nasimi - Theoretical and Applied Climatology, 2024 - Springer
Reference Evapotranspiration (RET) is one of the fundamental variables for water resource
management and finds applications in various fields such as irrigation sciences …