EDA & Preprocessing: handling missing values, encoding categorical features, normalization, and correlation analysis. KNN Model: training and evaluating a K-Nearest Neighbors classifier using ...

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In this paper Electromagnetic Compatibility (EMC) data is discussed and its effects on training a machine learning model. EMC data is inherently complex due to factors such as noise, high ...

Abstract: Highly integrated data acquisition and processing (DAQP) systems play an important role in promoting the miniaturization of high-performance optical instruments. Currently, such systems are ...