We discovered that merging machine learning models enhanced the prediction effort observed in the hybrid models' malignancy prediction outcomes. The proposed hybrid models were suitable for predicting ...

This paper presents a comprehensive study on the application of machine learning algorithms for fault classification and prediction in power grids. Utilizing real-world data collected from various ...

Below is an example of how the class weights are calculated to balance the distribution and used in building the classifier. Once a machine learning model has been trained, it is important to ...

Artificial intelligence (AI) and data science (DS) are receiving a lot of attention in various fields. In the educational field, the need for education utilizing AI and DS is also being emerged. In ...