AN RNN-BI LSTM BASED MULTI DECISION GAN APPROACH FOR THE RECOGNITION OF CARDIOVASCULAR DISEASE (CVD) FROM HEART BEAT SOUND: A FEATURE OPTIMIZATION PROCESS

An RNN-Bi LSTM Based Multi Decision GAN Approach for the Recognition of Cardiovascular Disease (CVD) From Heart Beat Sound: A Feature Optimization Process

The cardiovascular system is responsible for carrying the blood along with nutrition and oxygen throughout the body.This system consists of heart, blood, and blood vessels.The experts, or doctors called as cardiologists, analyze the sounds of heart’s (lub-dub) beat and flow of blood to diagnose Cardio Vascular Disease (CVD) using a tradition

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Market Impacts of a Transmission Investment: Evidence from the ERCOT Competitive Renewable Energy Zones Project

Texas has experienced a rapid development of wind power over the last 20 years.Since wind power was developed mostly in desolate areas that are remote from urban centers due to its nature conditions, Texas implemented the Competitive Renewable Energy Zones (CREZ) project, the goal of which is to integrate the wind supply regions with the large dema

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Investigation of the Mechanical Properties and Durability of Fiber-Reinforced Geopolymer Mortars Containing Metakaolin and Glass Powder

The increasing global Tank emphasis on sustainable construction practices has spurred significant international research into developing durable and eco-friendly concrete materials.This study investigates the potential of metakaolin and glass powder as supplementary aluminosilicate materials in slag- based geopolymer mortars, aiming to enhance thei

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