The rapid evolution of Artificial Intelligence (AI) is not just reshaping industries but is also influencing the path of scientific inquiry. Modern AI technologies are generating an unprecedented ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

This research aims to capitalize on these advancements by integrating advanced machine learning algorithms into crack analysis systems. The main goal is to develop and execute an advanced framework ...

The Subgroups Library is an open-source Python tool that simplifies using SD algorithms in machine learning and data science. Key features include improved efficiency due to its native Python ...

In this work, we utilize machine learning to build a diabetes risk prediction model which is uniquely suited to a dataset of only females. The dataset focuses on important health measurements of women ...

Keywords Machine Learning, Data Visualization, Feature Engineering, Health, Heart Disease Share and Cite: Sun, H. and Pan, J. (2023) Heart Disease Prediction Using Machine Learning Algorithms with ...

Machine learning deals with software systems capable of changing in response to training data. A prominent style of architecture is known as the neural network, a form of so-called deep learning.