Learn how root cause analysis and integrated data prevent hydropower bearing failures, reduce costly downtime, and improve ...
Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...
TL;DR: We propose CUFIT, a robust fine-tuning method for vision foundation models under noisy label conditions, based on the advantages of linear probing and adapters. Download the training data, ...
Infeasible paths constitute a bottleneck for the complete automation of software testing, one of the most expensive activities of software quality assurance. Research efforts have been spent on ...
Former deputy national security advisor Victoria Coates discusses what's ahead as the U.S. pursues a third oil tanker near Venezuela and intensifies pressure on the Maduro regime on 'The Bottom Line.' ...
Abstract: This study introduces a method for material classification using transient histograms obtained via a single-photon avalanche diode (SPAD) sensor. Temporal resolution in optical sensing plays ...