Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Media personalities and online influencers who sow social division for a living, blame the rise of assassination culture on Antifa and MAGA. Meanwhile, tech CEOs gin up fears of an AI apocalypse. But ...

Five artificial intelligence (AI) technologies designed to act as a "second pair of eyes" during colonoscopies have been conditionally recommended for NHS use by the National Institute for Health and ...

This repository contains the source code, scripts, and supplementary materials for the paper: "A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder ...

Information and communication technology (ICT) is crucial for maintaining efficient communications, enhancing processes, and enabling digital transformation. As ICT becomes increasingly significant in ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

Digital timecards are widely used in construction to track labor hours, equipment usage, and productivity, yet they are prone to outliers caused by human error, inconsistent reporting, and interface ...

The method inputs Doppler observations, satellite positions (from ephemeris), elevation angles, azimuth angles, and C/N₀ values. It groups potential multipath/NLOS faults using elevation, azimuth ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel solution is based on a low power ...