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

ABSTRACTSpatial prediction is essential for obtaining the spatial distribution of geographic variables and selecting appropriate covariates for this process can be challenging, especially for non-expert users.For easing the burden of selecting the appropriate covariates, two case-based reasoning strategies, namely the most-similar-case and covariat

The right parietal lobe plays an important role in body image, and disorders of body image emerge after lesions in the parietal lobe or with parietal lobe epilepsy.Body image disorder also often accompanies upper-limb amputation, in which the patient misperceives that their missing limb is still part of their body.Cortical reorganization is known t