Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...
1 Department of Urology, The First Hospital of China Medical University, Shenyang, China 2 Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China Introduction: ...
Abstract: Multisource data fusion offers great potential for land cover classification. However, the substantial differences in data structures and content representations across various remote ...
The paper is devoted to the optimization of data structure in classification and clustering problems by mapping the original data onto a set of ordered feature vectors. When ordering, the elements of ...
SAN FRANCISCO, June 20, 2025 (GLOBE NEWSWIRE) -- Structure Therapeutics Inc. (NASDAQ: GPCR), a clinical-stage global biopharmaceutical company developing novel oral small molecule therapeutics for ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...
The Register-Herald, Beckley, W.Va. Gary Fauber, The Register-Herald, Beckley, W.Va. Reclassification is again on the horizon in West Virginia high school athletics — this time in a way that seems to ...
CLARKSBURG, W.Va. (WBOY) — The West Virginia Secondary School Activities Commission (WVSSAC) has once again voted to change how it classifies schools for sports. The Board of Control voted Tuesday to ...
Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...