… to predict employee attrition and employee turnover and HR … the effective causes of
employee attrition so that they can … HRM in employee attrition prediction and employee turnover …

… regression, and a machine learning-based linear model called “… , this study uses the machine
learning-based model “Extreme … uses the prediction model for situational mode analysis, …

… 例= Establish machine learning-based localized pedotransfer functions of soil water retention
… reliability information for PTF predictions, the establishment of prediction intervals can also …

… analysis, prediction, forecasting, and classification tasks, DL has gained popularity over
conventional statistical analysis … experimental analysis of different deep learning based models …

… component property prediction highly desired for a specific property target, battery
chemistry, and device structure. Recently, the data in the battery research have exponentially …

(中) 過去許多相關研究表明, 在課程中結合動覺辨識機制以及遊戲式學習可以有效提升學習者的
學習成效. 因此, 本研究以全肢體反應教學法(Total Physical Response, TPR) 為基礎, 並擴展…

… of the sensor readings, more and more anomaly detection uses machine learning to
make predictions. In the field of machine learning, most models have a fixed neural network …

… algorithms such as machine learning and deep learning have been widely … prediction tools
based on artificial intelligence algorithms have higher accuracy, and can successfully predict …

… Study 3: Research findings Statistical analysis results Overall, the analysis results indicate
that only the characteristics of a current message significantly predicted its responsiveness. In …

… of prediction set decreased from 16.153 mmol/kg to 10.4150 mmol/kg. Conclusion The extreme
learning machine … Hyperspectral and integrated learning based moisture detection model …