Explore multi-sensor calibration techniques for advanced driver assistance systems in autonomous vehicles to ensure accurate ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key ...

Researchers at the University of Tsukuba have developed the SPADE (Simulator-assisted PerformAbility Design methodology for ...

Professional astronomers don't make discoveries by looking through an eyepiece like you might with a backyard telescope.

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

A deep learning model trained on fundus photographs showed promise in the detection of severe glaucoma, with lower accuracy ...

Hacker group allegedly behind Kettering Health leak, data posted to deep web by: LeAnne Marie McPherson Posted: Jun 5, 2025 / 12:52 PM EDT Updated: Jun 5, 2025 / 08:23 PM EDT ...

For example, the incorporation of mixed-data sampling methods alongside traditional economic indicators has enhanced forecasting accuracy in tourist arrivals, particularly in the context of post ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .