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 ...
Abstract: We present a supervised learning-based method to estimate a per-pixel confidence for optical flow vectors. Regions of low texture and pixels close to occlusion boundaries are known to be ...
An international team of quantum researchers has shown how machine learning can be used to filter a practically infinite ...
A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...
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