Article proposes a performance metric and evaluates an existing adaptation process that dynamically adjusts to optimal network performance determined by Fractional Frequency Reuse (FFR) mechanism with mobile users.

Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that result in effective and efficient classification models for automatic identification of research articles.

Article discussing research on classifying genes to the correct gene ontology slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning.

This article discusses the effectiveness of utilizing local spatial variations in environmental data to uncover the statistical relationships between West Nile Virus (WNV) risk and environmental factors.

Interview with Dr. Ryan Garlick for the Osher Lifelong Learning Institute (OLLI) podcast. In this episode, Susan speaks with Dr. Ryan Garlick, Principal Lecturer in UNT's Department of Computer Science and Engineering. They discuss his codebreaking work, including his participation in TV programs such as National Geographic's "Hunt for the Zodiac Killer." Dr. Garlick gives an overview of the codebreaking methods that are being used to decipher the Zodiac's mysterious messages and also talks about his academic and professional background.

This article discusses a novel risk equation for estimating new infections among Females who Sell Sex (FWSS), their clients, and communities.

Article states that, to pave the road towards precision medicine in cancer, patients with similar biology ought to be grouped into same cancer subtypes. On breast cancer subtyping, unlike existing tools, SUPREME generates patient embeddings from multiple similarity networks utilizing multiomics features and integrates them with raw features to capture complementary signals.