Application of bio and nature-inspired algorithms in agricultural engineering
The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …
Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power
Accurate photovoltaic (PV) power prediction is necessary for future development of the micro-
grids projects and the economic dispatch sector. This study investigates the potential of …
grids projects and the economic dispatch sector. This study investigates the potential of …
Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
This study aims to implement a hybrid ensemble surrogate machine learning technique in
predicting the compressive strength (CS) of concrete, an important parameter used for …
predicting the compressive strength (CS) of concrete, an important parameter used for …
Prediction of rapid chloride penetration resistance of metakaolin based high strength concrete using light GBM and XGBoost models by incorporating SHAP analysis
This study investigates the non-linear capabilities of two machine learning prediction
models, namely Light GBM and XGBoost, for predicting the values of Rapid Chloride …
models, namely Light GBM and XGBoost, for predicting the values of Rapid Chloride …
Machine learning models for predicting compressive strength of fiber-reinforced concrete containing waste rubber and recycled aggregate
The compressive strength of fiber-reinforced rubberized recycled aggregate concrete (FR 3
C) is an important performance indicator for its practical application and durability in the …
C) is an important performance indicator for its practical application and durability in the …
Estimating the thermal conductivity of soils using six machine learning algorithms
Many machine learning algorithms have been applied to determine soil properties in recent
years. However, the prediction performances of thermal conductivity of soils via machine …
years. However, the prediction performances of thermal conductivity of soils via machine …
Analysis and prediction of the effect of Nanosilica on the compressive strength of concrete with different mix proportions and specimen sizes using various numerical …
R Ali, M Muayad, AS Mohammed… - Structural Concrete, 2023 - Wiley Online Library
Introducing nanotechnology in concrete is one of the most significant successes in
enhancing the mechanical properties of concrete. It affects the quality of the microstructure of …
enhancing the mechanical properties of concrete. It affects the quality of the microstructure of …
A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique
Concrete which is the most commercialized construction material and thus it plays a key role
in this era of development and hence its evolution is of utmost importance and therefore the …
in this era of development and hence its evolution is of utmost importance and therefore the …
Slope stability classification under seismic conditions using several tree-based intelligent techniques
Slope stability analysis allows engineers to pinpoint risky areas, study trigger mechanisms
for slope failures, and design slopes with optimal safety and reliability. Before the …
for slope failures, and design slopes with optimal safety and reliability. Before the …
Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests
This study presents a comparative assessment of conventional soft computing techniques in
estimating the compressive strength (CS) of concrete utilizing two non-destructive tests …
estimating the compressive strength (CS) of concrete utilizing two non-destructive tests …