Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests ...

Leverage deep learning techniques for the automated detection of pneumonia from medical imaging data. This repository provides end-to-end Jupyter Notebooks and Python utilities for preprocessing, ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

ABSTRACT: Understanding why a machine learning model makes a certain prediction is just as critical as how accurately it predicts, especially when it comes to diagnosing and treating cardiovascular ...

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.

Abstract: A full pneumonia detection system, based on a modified version of the VGG16 architecture of convolutional neural networks that has been perfected for chest X-ray image analysis is developed.

ABSTRACT: The objective of this study is to explore the role of Artificial Intelligence (AI) in enhancing tax compliance and planning. Using a quantitative survey with 109 responses from professionals ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...