Using CHARLS data from 2011 to 2020, researchers found that sleep duration and self-reported sleep quality were associated ...

Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

Background In 2024, Ecuador faced its most severe drought in over six decades, severely disrupting hydroelectric power ...

Abstract: In the last few years, the support vector machine (SVM) method has motivated new interest in kernel regression techniques. Although the SVM has been shown to exhibit excellent generalization ...

Abstract: This work provides a hybrid model for gender identification integrating face features with logistic regression with K-Nearest Neighbors. The model reached an amazing accuracy of 96% with a ...

I followed the careers of 1,765 directors of top grossing films to work out who gets another go after a first film that doesn ...

Rural children in China are exposed to higher risks of heat-related mortality than their urban peers, especially during ...

Capital requirements are standardized regulations for banks and other depository institutions that govern the capital, as a percentage of their assets, that they must maintain. Having this capital on ...

Background Regular menstruation is an important indicator of well-being in adolescent females. We aimed to assess risk ...

Customer Churn Prediction and Model Comparison is a telecom customer churn project using Python, pandas, scikit-learn, XGBoost and imbalanced-learn. It covers data validation, preprocessing, feature ...