Using MARS, SVM, GEP and empirical equations for estimation of monthly mean reference evapotranspiration

S Mehdizadeh, J Behmanesh, K Khalili - Computers and electronics in …, 2017 - Elsevier
Evapotranspiration is one of the most important components of hydrologic cycle for optimal
management of water resources, especially in arid and semi-arid regions such as Iran. The …

Estimation of soil temperature from meteorological data using different machine learning models

Y Feng, N Cui, W Hao, L Gao, D Gong - Geoderma, 2019 - Elsevier
Soil temperature (T s) plays a key role in physical, biological and chemical processes in
terrestrial ecosystems. Accurate estimation of T s at various soil depths is crucial for land …

Advanced machine learning model for better prediction accuracy of soil temperature at different depths

M Alizamir, O Kisi, AN Ahmed, C Mert, CM Fai, S Kim… - PLoS …, 2020 - journals.plos.org
Soil temperature has a vital importance in biological, physical and chemical processes of
terrestrial ecosystem and its modeling at different depths is very important for land …

A review of machine learning approaches to soil temperature estimation

M Taheri, HK Schreiner, A Mohammadian, H Shirkhani… - Sustainability, 2023 - mdpi.com
Soil temperature is an essential factor for agricultural, meteorological, and hydrological
applications. Direct measurement, despite its high accuracy, is impractical on a large spatial …

Comparison of multiple learning artificial intelligence models for estimation of long-term monthly temperatures in Turkey

H Citakoglu - Arabian Journal of Geosciences, 2021 - Springer
Performance of four different machine learning–based approaches (long short-term memory
(LSTM), support vector machine regression (SVMR), Gaussian process regression (GPR) …

Non-tuned data intelligent model for soil temperature estimation: A new approach

H Sanikhani, RC Deo, ZM Yaseen, O Eray, O Kisi - Geoderma, 2018 - Elsevier
In knowledge-based decision-support systems, soil temperature (ST) estimation can be
considered as the core modeling task used for investigating the dynamics of solar energy …

A reliable linear stochastic daily soil temperature forecast model

M Zeynoddin, H Bonakdari, I Ebtehaj… - Soil and Tillage …, 2019 - Elsevier
Forecasting soil temperature profile is recognized as vital information for irrigation demand
forecast in a modern/efficient agricultural water management framework in arid regions. A …

Estimation of daily reference evapotranspiration (ETo) using artificial intelligence methods: Offering a new approach for lagged ETo data-based modeling

S Mehdizadeh - Journal of hydrology, 2018 - Elsevier
Evapotranspiration (ET) is considered as a key factor in hydrological and climatological
studies, agricultural water management, irrigation scheduling, etc. It can be directly …

Earth-Sheltered Buildings: A Review of Modeling, Energy Conservation, Daylighting, and Noise Aspects

G Mihalakakou, JA Paravantis, P Nikolaou… - Journal of Cleaner …, 2024 - Elsevier
Buildings constitute approximately 40% of global energy consumption and contribute to
around one-third of total greenhouse gas emissions. Buried, earth-sheltered, and slope …

Metaheuristic optimization algorithms hybridized with artificial intelligence model for soil temperature prediction: Novel model

L Penghui, AA Ewees, BH Beyaztas, C Qi… - IEEE …, 2020 - ieeexplore.ieee.org
An enhanced hybrid artificial intelligence model was developed for soil temperature (ST)
prediction. Among several soil characteristics, soil temperature is one of the essential …