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A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
Prediction of the standardized precipitation index based on the long short-term memory and empirical mode decomposition-extreme learning machine models: The …
Ö Coşkun, H Citakoglu - Physics and Chemistry of the Earth, Parts A/B/C, 2023 - Elsevier
This research predicted the meteorological drought of Sakarya province in northwest Türkiye
using long short-term memory (LSTM). This deep learning algorithm has gained popularity …
using long short-term memory (LSTM). This deep learning algorithm has gained popularity …
Sentiment analysis of financial Twitter posts on Twitter with the machine learning classifiers
This paper presents a sentiment analysis combining the lexicon-based and machine
learning (ML)-based approaches in Turkish to investigate the public mood for the prediction …
learning (ML)-based approaches in Turkish to investigate the public mood for the prediction …
[HTML][HTML] Alp-valley and elevation effects on the reference evapotranspiration and the dominant climate controls in Red River Basin, China: Insights from geographical …
Complicated topography can drastically affect the geographical distribution of evaporation,
runoff production, water cycle, and water security guarantee. However, whether the …
runoff production, water cycle, and water security guarantee. However, whether the …
Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: a systematic literature review
This study aimed to review the existing research focalizing on the missing data imputation
techniques for the systems enabling actual evapotranspiration calculation (such as eddy …
techniques for the systems enabling actual evapotranspiration calculation (such as eddy …
Enhanced daily reference evapotranspiration estimation using optimized hybrid support vector regression models
Accurate estimation of reference evapotranspiration (ET0) is a crucial parameter in
implementing precise irrigation strategies and managing regional water resources …
implementing precise irrigation strategies and managing regional water resources …
Comparison of machine learning techniques and spatial distribution of daily reference evapotranspiration in Türkiye
Reference evapotranspiration (ET0) estimates are commonly used in hydrologic planning
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …
Drought index time series forecasting via three-in-one machine learning concept for the Euphrates basin
Droughts are among the most hazardous and costly natural disasters and are hard to
quantify and characterize. Accurate drought forecasting reduces droughts' devastating …
quantify and characterize. Accurate drought forecasting reduces droughts' devastating …
Enhancing solar radiation forecasting in diverse Moroccan climate zones: A comparative study of machine learning models with Sugeno Integral Aggregation
Hourly solar radiation (SR) forecasting is a vital stage in the efficient deployment of solar
energy management systems. Single and hybrid machine learning (ML) models have been …
energy management systems. Single and hybrid machine learning (ML) models have been …
Improving actual evapotranspiration estimates through an integrated remote sensing and cutting-edge machine learning approach
RA dos Santos, EC Mantovani, VB Bufon… - … and Electronics in …, 2024 - Elsevier
Recent technological advances have allowed the production of many studies on
evapotranspiration, resulting in improvements in reference evapotranspiration estimates and …
evapotranspiration, resulting in improvements in reference evapotranspiration estimates and …