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ANN Model for Predicting Compressive Strength of Alkali Activated Slag Concrete Cured at Environmental Temperature. Worked on data taken from this paper doi: 10.14704/nq.2022.20.6.NQ22044
Concrete Strength Prediction with Extreme Gradient Boost (XGBoost)
Compressive Strength of Concrete can be predicted using three models: decision tree, SVC and GEP.
ANN to predict the Concrete compressive strength in MPa (REGRESION)
Concrete strength prediction based on its composition and curing process using CatBoost, XGBoost and LGBM.
Extended Isolation Forest for Anomaly Detection
The goal of this project is to predict compressive strength of concrete from composition and age. Methods used: shuffle feature selection, cross validation and XGBoost Regression.
Prediction of compressive strength of high performance concrete using ANN
The code program summitted course of Python driving licence, based on ReSHELience program
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.