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 ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...

Earlier this year when a UK Treasury Committee released a report warning that regulators’ complacency on AI in financial ...

Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing tools for some of the sport’s trickiest problems.

Post-quantum cryptography migration just got its first enforceable federal deadline. EO 14409 requires U.S. agencies to ...

Abstract: Decision tree (DT), an efficient and interpretable machine learning algorithm, has been widely used in numerous industrial applications. As the demand for higher performance grows, there is ...

Abstract: Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep apnea ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

This repository presents our Final Year Project (FYP), which focuses on developing an intelligent aquaculture monitoring and fish survival prediction system using Internet of Things (IoT), Edge ...