Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
River sedimentation is an important indicator for ecological and geomorphological
assessments of soil erosion within any watershed region. Sediment transport in a river basin …
assessments of soil erosion within any watershed region. Sediment transport in a river basin …
A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate
M Abed, MA Imteaz, AN Ahmed - Artificial Intelligence Review, 2023 - Springer
This comprehensive study reviews the latest and most popular artificial intelligence (AI)
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …
An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
A El Bilali, T Abdeslam, N Ayoub, H Lamane… - Journal of …, 2023 - Elsevier
Evaporation is an important hydrological process in the water cycle, especially for water
bodies. Machine Learning (ML) models have become accurate and powerful tools in …
bodies. Machine Learning (ML) models have become accurate and powerful tools in …
Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates …
Accurate estimation of reference evapotranspiration (ET 0) is of great importance for the
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data
RM Adnan, RR Mostafa, HL Dai… - Engineering …, 2023 - Taylor & Francis
This study investigates the feasibility of a relevance vector machine tuned with improved
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …
Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models
Accurate measurement or estimation of plant transpiration (T) is of great significance for
understanding crop water use, predicting crop yield and designing irrigation schedule in …
understanding crop water use, predicting crop yield and designing irrigation schedule in …
Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
R Moazenzadeh, B Mohammadi… - Engineering …, 2018 - Taylor & Francis
Evaporation accounts for varying shares of water balance under different climatic conditions,
and its correct prediction poses a significant challenge before water resources management …
and its correct prediction poses a significant challenge before water resources management …
Modeling pan evaporation using Gaussian process regression K-nearest neighbors random forest and support vector machines; comparative analysis
Evaporation is a very important process; it is one of the most critical factors in agricultural,
hydrological, and meteorological studies. Due to the interactions of multiple climatic factors …
hydrological, and meteorological studies. Due to the interactions of multiple climatic factors …
Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
The present study proposes a new hybrid evolutionary Adaptive Neuro-Fuzzy Inference
Systems (ANFIS) approach for monthly streamflow forecasting. The proposed method is a …
Systems (ANFIS) approach for monthly streamflow forecasting. The proposed method is a …
Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data
SS Yamaç, M Todorovic - Agricultural Water Management, 2020 - Elsevier
Crop evapotranspiration (ET c) is a complex and non-linear process difficult to measure and
estimate accurately. This complexity can be solved applying the machine learning …
estimate accurately. This complexity can be solved applying the machine learning …