Cars that drive themselves are no longer just a concept you'd see in sci-fi movies imagining the near future. Companies like Waymo are already using self-driving cars, and you can ride in a robotaxi ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

A deep learning project that uses Convolutional Neural Networks (CNN) to classify Indian traffic signs. This project includes a trained model and two different user interface options (Streamlit and ...

THE WHITE HOUSE. ONE OF THE BIG COMPLAINTS ABOUT TRAFFIC PROBLEMS IN BALTIMORE COMES DOWN TO THE TRAFFIC LIGHTS. TURNS OUT THERE’S A VERY GOOD REASON WHY WBAL TV 11 NEWS INVESTIGATES REQUESTED ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Local News Mass. drivers are baffled by these new traffic lights — here’s how they work Hybrid traffic lights, designed to make crossings safer, are confusing motorists across the state — and some ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

Abstract: This study uses various models to address network traffic classification, categorizing traffic into web, browsing, IPSec, backup, and email. We collected a comprehensive dataset from Arbor ...