Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Reference evapotranspiration (ET o) is one of the most important and influential components
in optimizing agricultural water consumption and water resources management. In the …
in optimizing agricultural water consumption and water resources management. In the …
A comprehensive experimental and computational investigation on estimation of scour depth at bridge abutment: emerging ensemble intelligent systems
Several bridges failed because of scouring and erosion around the bridge elements. Hence,
precise prediction of abutment scour is necessary for the safe design of bridges. In this …
precise prediction of abutment scour is necessary for the safe design of bridges. In this …
Artificial intelligence approach to estimate discharge of drip tape irrigation based on temperature and pressure
One of the effective factors to ensure the desirable operation of drip irrigation systems is the
uniform emitter discharge, which is affected by operating pressure and temperature …
uniform emitter discharge, which is affected by operating pressure and temperature …
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
The total quantity of solar energy falling on a horizontal plane surface is the global solar
exposure (GSE, ie, total solar energy). Precise forecasting of GSE is important in many fields …
exposure (GSE, ie, total solar energy). Precise forecasting of GSE is important in many fields …
[HTML][HTML] Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly …
Evapotranspiration is one of agricultural water management's most significant and impactful
hydrologic processes. A new multi-decomposition deep learning-based technique is …
hydrologic processes. A new multi-decomposition deep learning-based technique is …
[HTML][HTML] Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting
Forecasting accurately suspended sediment load (SSL) in the basin is one of the most
critical issues for river engineering, environment, and water resources management which …
critical issues for river engineering, environment, and water resources management which …
The nexus between physician-patient communication and health outcomes: level of patient communication satisfaction and its impact on adherence in Ethiopian …
AG Gessesse, J Mohammed Haile… - Patient preference and …, 2022 - Taylor & Francis
Introduction This study aims at assessing the level of patient communication satisfaction and
its impact on patient adherence among public hospitals in Ethiopia. Methods The study …
its impact on patient adherence among public hospitals in Ethiopia. Methods The study …
Prediction of total dissolved solids, based on optimization of new hybrid SVM models
FA Pourhosseini, K Ebrahimi, MH Omid - Engineering Applications of …, 2023 - Elsevier
Accurate monitoring of water quality is of great importance, especially in arid and semi-arid
countries such as Iran. The Total Dissolved Solids (TDS) plays quite a significant role in …
countries such as Iran. The Total Dissolved Solids (TDS) plays quite a significant role in …
Developing hybrid data-intelligent method using Boruta-random forest optimizer for simulation of nitrate distribution pattern
One of the critical factors in the optimal design of drip-fertigation systems is determining the
distribution of nitrate in the soil. Handling such a complex non-linear process is challenging …
distribution of nitrate in the soil. Handling such a complex non-linear process is challenging …
Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine
Biogas has developed as a potential substitute fuel source due to its renewable and
sustainable nature, which can help reduce greenhouse gas emissions. In this paper, along …
sustainable nature, which can help reduce greenhouse gas emissions. In this paper, along …