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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Video Game Genre Classification Based On Deep Learning, Yuhang Jiang
Video Game Genre Classification Based On Deep Learning, Yuhang Jiang
Masters Theses & Specialist Projects
Video games have played a more and more important role in our life. While the genre classification is a deeply explored research subject by leveraging the strength of deep learning, the automatic video game genre classification has drawn little attention in academia. In this study, we compiled a large dataset of 50,000 video games, consisting of the video game covers, game descriptions and the genre information. We explored three approaches for genre classification using deep learning techniques. First, we developed five image-based models utilizing pre-trained computer vision models such as MobileNet, ResNet50 and Inception, based on the game covers. Second, …
Book Genre Classification By Its Cover Using A Multi-View Learning Approach, Chandra Shakhar Kundu
Book Genre Classification By Its Cover Using A Multi-View Learning Approach, Chandra Shakhar Kundu
Masters Theses & Specialist Projects
An interesting topic in the visual analysis is to determine the genre of a book by its cover. The book cover is the very first communication to the reader which shapes the reader’s expectation about the type of the book. Each book cover is carefully designed by the cover designers and typographers to convey the visual representation of its content. In this study, we explore several different deep learning approaches for predicting the genre from the cover image alone, such as MobileNet V1, MobileNet V2, ResNet50, Inception V2. Moreover, we add an extra modality by extracting text from the cover …
Ross, Michelle Ann (Lowe) & Mark Brown, B. 1976 (Fa 356), Manuscripts & Folklife Archives
Ross, Michelle Ann (Lowe) & Mark Brown, B. 1976 (Fa 356), Manuscripts & Folklife Archives
FA Finding Aids
Finding aid only for Folklife Archives Project 356. Oral history interview conducted on 6 March 2001 by Michelle Ross and Mark Brown with Distinguished Professor Christopher Groves. Groves, a geography professor at WKU specializing in the study of hydrogeology, discusses his work as director of the Hoffman Environmental Research Institute, his geological efforts to map the flow paths of underground rivers, and other cave-science related endeavors.
Simulation Modeling Of Karst Aquifer Conduit Evolution And Relations To Climate, John D. Broome
Simulation Modeling Of Karst Aquifer Conduit Evolution And Relations To Climate, John D. Broome
Masters Theses & Specialist Projects
ABSTRACT Karst regions of the world that receive relatively similar amounts of precipitation display a wide variety of landscapes. It has been suggested (Groves and Meiman, 2005) that climates exhibiting larger discrete storm events have more dissolving power and consequently higher rates of conduit growth than climates with more uniform precipitation distributions. To study this concept, a computer program “Cave Growth” was developed that modeled the growth of a cross-section of a cave passage under dynamic flow and chemical conditions. A series of 46 simulation datasets were created to represent different climatic conditions. These simulations had the same total annual …