How detection theory and NFL analytics, reveal why College Football Playoff rankings struggle at scale—and why AI should ...
Maryland’s Department of Corrections released a report Wednesday revealing extensive structural and safety issues at the ...
Abstract: Electroluminescence (EL) imaging is the most widely used diagnostic technique for identifying flaws at every stage of the production, installation, and operation of solar modules. This ...
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 ...
Institute for Information Systems (WIN), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Introduction: The analysis of discrete sequential data, such as event logs and customer ...
More men are now living long enough to develop osteoporosis. But few are aware of the risk, and fewer still are screened and treated. By Paula Span Ronald Klein was biking around his neighborhood in ...
Wei Xing does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
Former athlete and Emmy-winning sports reporter Lindsay Simpson suffered a traumatic brain injury in 2018 that nearly took her life. At a recent event held by the National Academies of Sciences, ...
To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...
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 ...
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 ...