ENHANCING COMPRESSIVE STRENGTH PREDICTION IN SELF-COMPACTING CONCRETE USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES WITH INCORPORATION OF RICE HUSK ASH AND MARBLE POWDER

Enhancing compressive strength prediction in self-compacting concrete using machine learning and deep learning techniques with incorporation of rice husk ash and marble powder

Focusing on sustainable development, the demand for alternative materials in concrete, especially for Self-Compacting Concrete (SCC), has risen due to excessive cement usage and resulting CO2 emissions.As Compressive Strength (CS) is dominant among concrete properties, this research concentrates on developing SCC by incorporating Rice Husk Ash (RHA

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The Interactions Between Digitalization, Innovation and Employment in European Companies: Insights from a Latent Class Analysis

There is increasing concern regarding the association between technological change and jobs.This study explores how different patterns of digitalization and innovation relate to job creation in European companies.We use data from the European Company Survey 2019 collected by Eurofound and Cedefop.We apply Latent Class Analysis (LCA) to identify the

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