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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Isotherms describing physical adsorption of Cr(VI) from aqueous solution using various agricultural wastes as adsorbents

Various agricultural wastes such as peels of pea (Pisum sativum) pod, tea (Camellia sinensis), and ginger (Zingiber officinale) and Accessories banana (Musa lacatan) waste were used to adsorb Cr(VI) from the aqueous solutions.A comparative adsorption efficiency study for all these adsorbents was done in laboratory for various pH, adsorbent doses, i

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