Abstract: Single-photon lidar detection data in applications can show different characteristics: sparse count data and strong noise count data with low signal-to-background ratio (SBR), making it ...
Abstract: Text data classification in social networks is a crucial task for various applications such as sentiment analysis, spam detection, and content moderation. This abstract presents an algorithm ...
Abstract: The truncated singular value decomposition and its various tensor generalizations have long offered a simple and practical mechanism for compressing data stored in 2D or higherorder tensors.
Abstract: Changes in lake water levels are closely related to climate change and can also reflect information about local human activities. Therefore, obtaining high temporal resolution time series of ...
Abstract: In light of the growing global concerns over energy and climate change, new energy vehicles are confronted with both opportunities and challenges posed by industrial structural ...
Abstract: This paper proposes an intelligent control algorithm for low-altitude targets that fuses data from multiple sensors, aiming to enhance the detection, recognition, and tracking capabilities ...
Placebo-adjusted mean weight loss of 16.3% (39 lbs) at 180 mg and 16.0% (37 lbs) at 240 mg at 44 weeks with no evidence of weight loss plateau in ACCESS II, demonstrating highest efficacy among oral ...
John Solly, a software engineer and former member of the so-called Department of Government Efficiency (DOGE), is the DOGE operative reportedly accused in a whistleblower complaint of telling ...
Abstract: Glaucoma, an irreversible neurodegenerative disorder, can lead to vision loss and blindness. Visual field (VF) tests are crucial for quantifying functional damage in glaucoma, but the tests ...
Abstract: Geosynchronous-Earth-orbit (GEO) synthetic aperture radar (SAR) is able to achieve targeted observation, thanks to its flexibility in antenna steering, while focusing GEO SAR data is ...
Abstract: Graph structure learning (GSL) has shown promise in various domains, but its potential impact on tabular data prediction remains underexplored. Traditional deep learning models for tabular ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results