- Machine learning and interactive GUI for concrete compressive ...🔍
- Machine Learning 🔍
- Machine learning based graphical interface for accurate estimation ...🔍
- Predicting the compressive strength of high|performance concrete ...🔍
- An interpretable probabilistic machine learning model for forecasting ...🔍
- AI|Powered GUI for Prediction of Axial Compression Capacity in ...🔍
- Active learning on stacked machine learning techniques for ...🔍
- Compressive strength of concrete material using machine learning ...🔍
Machine learning and interactive GUI for concrete compressive ...
Machine learning and interactive GUI for concrete compressive ...
Concrete compressive strength (CS) is a crucial performance parameter in concrete structure design. Reliable strength prediction reduces ...
Machine learning and interactive GUI for concrete compressive ...
Concrete compressive strength (CS) is a crucial performance parameter in concrete structure design. Reliable strength prediction reduces costs and time in ...
Machine learning and interactive GUI for concrete compressive ...
AbstractConcrete compressive strength (CS) is a crucial performance parameter in concrete structure design. Reliable strength prediction reduces costs and ...
Machine Learning (ML) Enhances Concrete Strength Prediction
A recent article published in Scientific Reports proposed using machine learning (ML) to enhance concrete compressive strength (CS) ...
Machine learning based graphical interface for accurate estimation ...
The proposed data-driven ML models attained exceptional accuracy and superior performance compared to existing analytical models. To enhance the accuracy of ...
Predicting the compressive strength of high-performance concrete ...
To enhance the accuracy of concrete strength prediction, this paper introduces an interpretable framework for machine learning (ML) models to ...
An interpretable probabilistic machine learning model for forecasting ...
Forecasting the compressive strength (CS) of oil palm shell (OPS)-based lightweight aggregate concrete (LWAC) heavily relies on machine learning ...
AI-Powered GUI for Prediction of Axial Compression Capacity in ...
Furthermore, a Graphical User Interface (GUI) has been developed which can be readily used to estimate the axial load capacity of CFST columns ...
Active learning on stacked machine learning techniques for ...
Five different random forest (RF) ML models were developed to predict the compressive strength of alkali-activated concrete, including blast ...
Compressive strength of concrete material using machine learning ...
Machine learning and interactive GUI for concrete compressive strength prediction · M. K. ElshaarawyMostafa M AlsaadawiA. K. Hamed. Engineering, Computer ...
Using Machine Learning Algorithms to Estimate the Compressive ...
The variable factors for SFRHSC include cement, fine and coarse aggregates, admixture/super-plasticizer, water, steel fibers, and the type of ...
(PDF) Compressive Strength Prediction of Fly Ash-Based Concrete ...
The prediction of compressive strength in fly ash-based concrete can be accelerated through the use of machine learning algorithms with ...
Soft computing techniques for predicting the - ProQuest
Machine learning and interactive GUI for concrete compressive strength prediction · Machine learning and interactive GUI for concrete compressive strength ...
Estimation of compressive strength for spiral stirrup-confined circular ...
Additionally, a friendly online graphical user interface (GUI) has been specially developed based on the optimized XGBoost model to facilitate convenient CS ...
Hybrid machine learning approach to prediction of the compressive ...
Machine learning and interactive GUI for concrete compressive strength prediction · Engineering, Computer Science. Scientific Reports · 2024.
Prediction of Concrete Compressive Strength and Slump by ...
Machine learning methods have been successfully applied to many engineering disciplines. Prediction of the concrete compressive strength ...
Compressive Strength Prediction of Fly Ash-Based Concrete ... - MDPI
The prediction of compressive strength in fly ash-based concrete can be accelerated through the use of machine learning algorithms with artificial intelligence.
Comparison of Machine Learning Techniques for the Prediction of ...
A comparative analysis for the prediction of compressive strength of concrete at the ages of 28, 56, and 91 days has been carried out using machine learning ...
Hybrid machine learning approach to prediction of the compressive ...
List of references · Abuodeh, Assessment of compressive strength of Ultra-high Performance Concrete using deep machine learning techniques, Appl. · Ahmed, Hybrid ...
Concrete Strength Prediction Using Machine Learning (with Python ...
We will use a concrete compressive strength dataset which was retrieved from the Kaggle, you can click here for the dataset. Dataset knowledge. If you download ...