A FLOW MODEL FOR THE SETTLING VELOCITIES OF NON SPHERICAL PARTICLES IN CREEPING MOTION, PART II





Malaria Disease Prediction Based on Convolutional Neural Networks

This study delves into the investigation of the efficacy of Convolutional Neural Networks (CNNs) in identifying malaria through the examination of cell images.The dataset employed encompasses a total of 27,558 images, harvested from the renowned Malaria Cell Images Dataset on Kaggle, encompassing cells of diverse nature.The 1073spx architectonics o

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