Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Wearable health sensors such as photoplethysmography (PPG) wristbands, ECG patches and multi-modal biometric devices are typically developed and calibrated under controlled laboratory conditions.
An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...
Quantum X Labs Inc. (Nasdaq: QXL) has demonstrated its first fully all-optical HRG, marking a step toward electrically isolated, high-performance inertial sensing systems for next-generation ...
A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...
The US Army successfully tests new fire control software, enhancing military precision and efficiency. Discover more about this technological breakthrough.
Ramp reports that AI expense management automates receipt processing, categorization, and policy enforcement, saving time, ...
Abstract: The planetary boundary layer height (PBLH) has a significant impact on the energy and material exchange in the atmosphere. The traditional gradient method (GM) determines the PBLH based on ...
Astronomers at the Lowell Observatory in Flagstaff are using an innovative AI technique to revolutionize how meteors are categorized.
Abstract: Semi-empirical models and machine learning (ML) models have been widely used in remote sensing studies. In order to explore the feasible joint mode integrating semi-empirical model and ML ...
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