Griffith researchers built and tested a digital archaeology framework to learn more about the ancient humans who created one ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
The most sophisticated machine vision systems have enabled new and emerging designs far more sophisticated than bin picking.
The meaning of "AI" has evolved from simple logic systems to marketing hype.Generative AI creates “AI slop,” recycling and ...
ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
The 2025 NFL season kicks off tonight with a key NFC East matchup between the Dallas Cowboys and the defending Super Bowl champion Philadelphia Eagles (-8, 47.5). Since 2010, Dallas and Philadelphia ...
Purpose: To develop effective machine learning models that analyze pattern visual evoked potentials (PVEPs) to predict the stabilized visual acuity (VA) of patients with treated ocular trauma. Methods ...
Enhanced Dual-Pattern Matching With Vision-Language Representation for Out-of-Distribution Detection
Abstract: Out-of-distribution (OOD) detection presents a significant challenge in deploying pattern recognition and machine learning models, as they frequently fail to generalize to data from unseen ...
1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...
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