The micro-Doppler foreground and noise background centers using image corner detection are first estimated. Using the two centers as starting points, the micro-Doppler signature extraction is ...

A new, easily adopted, 3D-printed device will enable scientists to create models of human tissue with even greater control and complexity. An interdisciplinary group of researchers at the ...

In 2023, a thirty-one-year-old construction worker named Pablo Xavier, whose last name has not been made public, accidentally did something groundbreaking. He opened up Midjourney, a generative AI ...

Human Action Anomaly Detection is an advanced technology that leverages computer vision and machine learning to identify unusual or suspicious human activities in real-time video stream and sensor ...

Highlights: · Completion of independent study with Tessara Therapeutics to assess the effect of NUZ-001 in Tessara’s RealBrain® 3D human micro-tissues model · Results showed that NUZ-001 and NUZ-001 ...

An AI-powered Human Action Recognition system that classifies 15 common human activities using deep learning and computer vision. Built with TensorFlow, Keras, and OpenCV, the system supports ...

Immortalized epithelial cell lines and animal models have been used in fundamental and preclinical research to study pulmonary diseases. However valuable, though, these models incompletely ...

This study presents a conductive-type pressure sensor based on a conductive composite of 1D/2D nanomaterials coated onto a 3D nonconductive polymer structure with various pores. A 3D porous elastomer ...

AI breakthrough in human action detection technology. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 10 / 241017113523.htm ...

UVA professor Scott T. Acton and a team of researchers develop an AI-driven video analyzer capable of detecting human actions in video footage with unprecedented precision and intelligence.