Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on ...

An effective stacking ensemble learning control (SELC) approach is developed to obtain a sub-OC strategy. Extensive comparison and simulations are shown to validate the effectiveness of the proposed ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

The purpose of this project is to build a novel ensemble model to detect online business websites that are potentially fraud, and explain to customers why the e-commerce has been flagged. Different ...

Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right).

The integration of machine learning in cancer imaging is revolutionizing diagnostics, improving early detection and treatment ...

Source: Beijing Institute of Technology Press In a significant leap forward for the electric vehicle (EV) industry, the ...

This paper further proposes a deep reinforcement learning-based algorithm named Weighted-K-Means-DDPG (WK-Means-DDPG). The innovation of this algorithm lies in the combination of traditional Weighted ...

The main goal of a classification problem is to identify the category/class to which a new data will fall under. Definition: Logistic regression is a machine learning algorithm for classification. In ...