Ensemble machine-learning models for accurate prediction of solar irradiation in Bangladesh
Improved irradiance forecasting ensures precise solar power generation forecasts, resulting
in smoother operation of the distribution grid. Empirical models are used to estimate …
in smoother operation of the distribution grid. Empirical models are used to estimate …
[HTML][HTML] Compressive strength of concrete material using machine learning techniques
Significant efforts have been made to improve the strength of concrete by utilizing industrial
waste like Fly Ash as a partial replacement of cement in the concrete. However, predicting …
waste like Fly Ash as a partial replacement of cement in the concrete. However, predicting …
Deep learning based concrete compressive strength prediction model with hybrid meta-heuristic approach
In concrete design, the compressive strength of the concrete is the critical parameter that
defines the quality of concrete. Determination of the compressive strength of concrete by …
defines the quality of concrete. Determination of the compressive strength of concrete by …
Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and …
N Sathiparan, P Jeyananthan - Nondestructive Testing and …, 2023 - Taylor & Francis
The quality monitoring technique for Cement stabilised earth blocks (CSEBs) is so
challenging that it is often neglected. This study has investigated the possibility of using …
challenging that it is often neglected. This study has investigated the possibility of using …
Predicting compressive strength of quarry waste-based geopolymer mortar using machine learning algorithms incorporating mix design and ultrasonic pulse velocity
N Sathiparan, P Jeyananthan - Nondestructive Testing and …, 2024 - Taylor & Francis
The current study aimed to investigate the possibility of predicting the compressive strength
of geopolymer mortar by mix design parameters, ultrasonic pulse velocity (UPV) and …
of geopolymer mortar by mix design parameters, ultrasonic pulse velocity (UPV) and …
Application of artificial intelligence model solar radiation prediction for renewable energy systems
H Alkahtani, THH Aldhyani, SN Alsubari - Sustainability, 2023 - mdpi.com
Solar power is an excellent alternative power source that can significantly cut our
dependency on nonrenewable and destructive fossil fuels. Solar radiation (SR) can be …
dependency on nonrenewable and destructive fossil fuels. Solar radiation (SR) can be …
Machine learning unveils the complex nonlinearity of concrete materials' uniaxial compressive strength
S Pandey, S Paudel, K Devkota, K Kshetri… - International Journal of …, 2024 - Taylor & Francis
Uniaxial compressive strength (CS), a mechanical property that depends on the type of fine
and coarse aggregates, the water-cement (w/c) ratio, age, the volume of admixtures, etc., is …
and coarse aggregates, the water-cement (w/c) ratio, age, the volume of admixtures, etc., is …
Waste-to-energy poly-generation scheme for hydrogen/freshwater/power/oxygen/heating capacity production; optimized by regression machine learning algorithms
Utilization of machine learning techniques in the analysis and enhancement of poly-
generation energy systems improves their efficiency and sustainability. Also, waste-to …
generation energy systems improves their efficiency and sustainability. Also, waste-to …
Benchmarking AutoML solutions for concrete strength prediction: Reliability, uncertainty, and dilemma
MA Hariri-Ardebili, P Mahdavi… - … and Building Materials, 2024 - Elsevier
Building precise machine learning and deep learning models has traditionally required a
combination of mathematical skills and hands-on experience to meticulously adjust …
combination of mathematical skills and hands-on experience to meticulously adjust …
Design and modeling the compressive strength of high-performance concrete with silica fume: a soft computing approach
Soft computing methods were used in this research to design and model the compressive
strength of high-performance concrete (HPC) with silica fume. Box–Behnken design-based …
strength of high-performance concrete (HPC) with silica fume. Box–Behnken design-based …