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[HTML][HTML] Novel feature selection based ANN for optimal solar panels tilt angles prediction in micro grid
Predicting PV system electricity output is necessary for daily operational management and
annual power system planning when integrating solar collector-based photovoltaic (PV) …
annual power system planning when integrating solar collector-based photovoltaic (PV) …
[HTML][HTML] An efficient computational investigation on accurate daily soil temperature prediction using boosting ensemble methods explanation based on SHAP …
Accurately predicting soil temperature (Ts) serves as the foundation of geothermal
applications, modern irrigation strategies in arid agricultural landscapes, and understanding …
applications, modern irrigation strategies in arid agricultural landscapes, and understanding …
Predicting the drag coefficient of coastal trees using Support Vector Machines and boosting ensemble models
The effect of green belts on wave absorption is a critical aspect of coastal protection
strategies. The effectiveness of green belts in wave absorption is influenced by factors such …
strategies. The effectiveness of green belts in wave absorption is influenced by factors such …
Application of a hybrid fuzzy-based algorithm to investigate the environmental impact of sewer overflow
Purpose This study underscores the critical importance of well-functioning sewer systems in
achieving smart and sustainable urban drainage within cities. It specifically targets the …
achieving smart and sustainable urban drainage within cities. It specifically targets the …
[HTML][HTML] Using froude and weber numbers to represent the changes in the flow pattern from stratified to stratified-wavy or plug for wire-on-tube condenser
According to manufacturing data, a theoretical study of condensation inside a heat
exchanger with wires on tubes. examined flow patterns with variable refrigerant mass flow …
exchanger with wires on tubes. examined flow patterns with variable refrigerant mass flow …
Machine Learning Models for Reinforced Concrete Pipes Condition Prediction: The State-of-the-Art Using Artificial Neural Networks and Multiple Linear Regression in …
The aging sewer infrastructure in the US, covering 2.1 million kilometers, encounters
increasing structural issues, resulting in around 75,000 yearly sanitary sewer overflows that …
increasing structural issues, resulting in around 75,000 yearly sanitary sewer overflows that …
Efficient functioning of a sewer system: application of novel hybrid machine learning methods for the prediction of particle Froude number
Sewer systems are usually built with a self-cleaning system that keeps the bottom of the
channel free of sediment to lessen the effects of the constant buildup of sediment particles …
channel free of sediment to lessen the effects of the constant buildup of sediment particles …
[PDF][PDF] Results in Engineering
Accurately predicting soil temperature (Ts) serves as the foundation of geothermal
applications, modern irrigation strategies in arid agricultural landscapes, and understanding …
applications, modern irrigation strategies in arid agricultural landscapes, and understanding …
[PDF][PDF] Results in Engineering
The current study is focused on the synthesis and evaluation of 1-Hexadecyl-3-
methylimidazolium tetrachloroindate [C16 mim][In Cl4] based ionic liquid (IL) as a corrosion …
methylimidazolium tetrachloroindate [C16 mim][In Cl4] based ionic liquid (IL) as a corrosion …