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Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...

Preprocessing of text data (tokenization, normalization, etc.). Multi-class emotion classification using Logistic Regression and SVM. Detailed evaluation using classification metrics and ...

Abstract: The research entails the acquisition of live data from electrical systems, including measurements of voltage, current, and temperature. The use of feature engineering is implemented in order ...