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Titlebook: Intelligent and Fuzzy Systems; Intelligent Industri Cengiz Kahraman,Sezi Cevik Onar,Irem Ucal Sari Conference proceedings 2024 The Editor(s

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HR Analytics in Retail: Predicting Employee Churn with Machine Learning interpret these, an increase in an employee‘s sales rates correlates with a higher likelihood of retaining their position. Actions taken in light of the project‘s findings can contribute to companies predicting employee churn in advance, thereby reducing turnover rates and improving operational cos
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Machine Learning and Ensemble Learning Techniques for Intrusion Detection Systems: A Performance Anaers, namely Decision Tree (DT), Random Forest (RF), Logistic Regression (LR), Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), Naïve Bayes (NB), as well as ensemble learning techniques including CatBoost, Gradient Boosting, XGBoost, AdaBoost (ADA), Voting, and Stacking, are employed. The
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Implementing a Smart Low-Cost System for Diagnosing Bacteria in Womenhe highest scores in accuracy, precision, and F1 score, while the Logistic Regression classifier performed the worst. The proposed system added a clinically smart and helpful tool for the diagnosis of bacteria systems and the decision-making process.
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Furkan Hanilçi,Emre Çakır,Yiğit Çağatay Kuyuuch the moral set up of everyday life in rural Jharkhand does not always agree with official norms. State development schemes are often thought to be inappropriate for the rural areas and targeting the “wrong” beneficiaries. A local discourse on rules and norms in implementing development constructi
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