In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...

For example, the quantum Sobel operator enhances gradient responses in edge regions through quantum amplitude amplification techniques, while the quantum Canny algorithm utilizes quantum state ...

“Although image boundary detection has been broadly studied since the early stage of computer vision, the accuracy of current best boundary detection algorithms is still unsatisfactory when the input ...

For example, the March 2025 update included Wear OS 5.1. Part of Wear OS 5.1 included the Loss of Pulse Detection feature for users in the US with a Pixel Watch 3. That could end up being a pretty ...

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Today, DataVisor, the world’s leading AI-powered fraud and risk platform, launched a groundbreaking solution that computes hotspot, distinct count, and ...

It turned out that sensibility—the ability to detect abnormal signals on EEG—of classifier and neural network separately achieves 90 and 96% correspondingly. However, the proximity of these approaches ...

An in-vehicle camera can continuously watch you for signs of intoxication, with a new AI algorithm pinpointing your level of drunkenness with a 75% accuracy. When you purchase through links on our ...

Scientists in Spain have implemented recursive least squares (RLS) algorithms for anomaly detection in PV systems and have found they can provide “more realistic and meaningful assessment ...

USF researchers using algorithm to detect 'hidden objects' ... Example video title will go here for this video. Author: Hannah Dineen Published: 6:44 PM EDT March 12, 2024 ...

Debugging tools are essential for developing and testing operating systems algorithms that involve machine learning. Machine learning algorithms are complex, dynamic, and often unpredictable ...

Cloud detection methods for Landsat satellites have been developed to characterize surface backgrounds and various cloud characteristics, employing different processing techniques to improve the ...