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 ad24ce incorporating Rice Husk A

Remote areas with sparse population, disaster areas in the aftermath, and refugee camps all usc trojans snapback hat require communication that is not forthcoming from commercial vendors.Numerous communication system options are available, but with widely varying cost and efficacy.The goal of this work is to discuss a framework in which to consider

Morpholine is a stretchy moiety, a special pharmacophore and an amazing heterocyclic compound with wide scopes of pharmacological exercises because of various pharmacological of activity.The capacity of morpholine to upgrade the power of the particle through sub-atomic collaborations with the objective protein (kinases) or to modify the pharmacokin

A criminal conspiracy to commit a crime of narcotics abuse as an intermediary in buying and selling narcotics carried out by children is charged by the public prosecutor with Article 114 paragraph (1) with a sentence of life imprisonment ben nye cameo luxury powder or a minimum prison sentence of 5 years and a maximum prison sentence of 20 years.In

An effective approach is introduced to predict the magnitude of reservoir-triggered earthquake (RTE), based on support vector machines (SVM) and fuzzy support vector machines (FSVM) methods.The main influence factors on RTE, including lithology, rock mass integrity, fault features, tectonic stress state, and seismic activity background in reservoir