The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

Last month, Bates received the Community Engagement classification from the Carnegie Foundation. The classification is a ...

Social media and algorithmic recommendations aren’t just reflecting our divisions — they’re driving them. According to a poll conducted by Siena University and The New York Times, “most voters think ...

Abstract: This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs and deal ...

I have set a strategy in the problem classification node: {"contue_on_error": true, "default-value": [{"key": "class_name", "type": "string", "value": "convert to ...

The brighter the color, the higher the spectral weight. Left panel: weak interaction, γ=0.5; Right panel: moderate interaction, γ=4.0. Since the discovery of the Mott insulator-metal phase transition, ...

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 ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

The authors work at the Policing Project at the N.Y.U. School of Law. The project works with communities and the police to promote public safety. Something important has been happening in American ...

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 Carnegie Foundation for the Advancement of Teaching and the American Council on Education debut a new classification system focused on student success. As widespread public skepticism about the ...