Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...
Abstract: This paper introduces a conceptual framework for integrating machine learning techniques in soil classification and crop recommendation, aiming to enhance precision agriculture practices.
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