Tempus Announces Six Abstracts Accepted for Presentation at the Society for Immunotherapy ...

Tempus AI, Inc. (NASDAQ: TEM), a technology company leading the adoption of AI to advance precision medicine, today announced ...
C&EN

A Data-Driven Symbolic Regression Framework for Modeling and Multiobjective Optimization of ...

Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi 110016, India ...
C&EN

Capturing Electron Correlation with Machine Learning through a Data-Driven CASPT2 Framework

Department of Chemistry, University of Tennessee, Knoxville, Tennessee 37996, United States The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King’s ...
eLife

Subtle methodological variations substantially impact correlation test results in ...

This study presents a valuable in-depth comparison of statistical methods for the analysis of ecological time series data, and shows that different analyses can generate different conclusions, ...
IEEE

Multi Source Heterogeneous Correlation Data Fusion Based on Graph Clustering and DFS Algorithm

Abstract: In multi-source heterogeneous correlated data, the correlation between data often needs to be established through multiple intermediate nodes or paths. This multi hop correlation may be lost ...
techtimes

Beyond Data: CalQLogic Reveals Why Correlation Is Key to Knowledge

In today's digital economy, data has become one of the most valuable assets any organization can possess. Yet, for all its abundance, data on its own rarely leads to understanding. The challenge for ...
IEEE

Three-Stage Composite Outlier Identification of Wind Power Data: Integrating Physical Rules ...

Abstract: Existing studies on identifying outliers in wind speed-power datasets are often challenged by the complicated and irregular distributions of outliers, especially those being densely stacked ...