Financial transaction fraud can result in devastating consequences for the stability of companies, as well as huge losses for shareholders, the industry, and even the market as a whole. As fraud in financial transactions increases, there is a need for effective methods to accurately detect and prevent fraudulent activities. This study aims to compare the performance of five machine learning mod…
Sentiment analysis is the process of automatically understanding, extracting, and processing textual data to uncover information about opinions contained within the data, determining whether they are negative or positive. This study aims to perform sentiment analysis and evaluate the performance of algorithms in classifying customer reviews on the Indonesian e-commerce platform, Tokopedia, usin…
Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates being as high as they are, it is becoming more appropriate to emphasise connections an…
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