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  • Wills, Eric David, 1977- (University of Oregon, 2008-03)
    Digital three-dimensional (3D) models are useful for biomechanical analysis because they can be interactively visualized and manipulated. Synthesizing and analyzing animal locomotion with these models, however, is difficult ...
  • Alur, Abhijit (University of Oregon, 2015-01-14)
    DNS (Domain Name System) names contain a wide variety of information, such as geographic location, speed of the interface, type of interface, etc. However, extracting this information is challenging since this information ...
  • Yenpure, Abhishek (University of Oregon, 2023-03-24)
    Exascale computing, i.e., supercomputers that can perform 1018 math operations per second, provide significant opportunity for improving the computational sciences. That said, these machines can be difficult to use ...
  • Liu, Haishan (University of Oregon, 2012)
    Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. It is widely acknowledged that the role of domain knowledge in the discovery process is essential. ...
  • Ozog, David (University of Oregon, 2017-09-27)
    The past several decades have witnessed tremendous strides in the capabilities of computational chemistry simulations, driven in large part by the extensive parallelism offered by powerful computer clusters and scalable ...
  • Thomas, Kristine A. (University of Oregon, 2010-06)
    Image processing is a powerful tool for increasing the reliability and reproducibility of disease diagnostics. In the hands of pathologists, image processing provides quantitative data from histological images which ...
  • Brittell, Megen (University of Oregon, 2011-12)
    Graphics provide a rich display medium that facilitates identification of spatial patterns but are inaccessible to people who are blind or low vision. Audio provides an alternative medium through which to display information. ...
  • Guzman Nateras, Luis (University of Oregon, 2024-01-09)
    The widespread adoption of applications powered by Artificial Intelligence (AI) backbones has unquestionably changed the way we interact with the world around us. Applications such as automated personal assistants, automatic ...
  • Kress, James (University of Oregon, 2020-09-24)
    In situ visualization is increasingly necessary to address I/O limitations on supercomputers. With the increasing heterogeneity of supercomputer design, efficient and cost effective use of resources is extremely difficult ...
  • Zhang, Mingwei (University of Oregon, 2020-02-27)
    Distributed denial-of-service (DDoS) attacks continue to threaten the availability and integrity of critical Internet infrastructure upon which the society relies more heavily than ever before. The extremely high volume ...
  • Lessley, Brenton (University of Oregon, 2019-09-18)
    Sorting and hashing are canonical index-based methods to perform searching, and are often sub-routines in many visualization and analysis algorithms. With the emergence of many-core architectures, these algorithms must be ...
  • Chaimov, Nicholas (University of Oregon, 2017-09-06)
    Future supercomputers will require application developers to expose much more parallelism than current applications expose. In order to assist application developers in structuring their applications such that this is ...
  • Poliakoff, David (University of Oregon, 2015-08-18)
    Modern computational software is increasingly large in terms of lines of code, number of developers, intended longevity, and complexity of intended architectures. While tools exist to mitigate the problems this type of ...
  • Rasti Ekbatani, Hassan (University of Oregon, 2013-07-11)
    During the past decade, the Internet has witnessed a dramatic increase in the popularity of Peer-to-Peer (P2P) applications. This has caused a significant growth in the volume of P2P traffic. This trend has been particularly ...
  • Sood, Kanika (University of Oregon, 2019-09-18)
    Scientific and engineering applications are dominated by linear algebra and depend on scalable solutions of sparse linear systems. For large problems, preconditioned iterative methods are a popular choice. High-performance ...
  • Jiang, Shangpu (University of Oregon, 2016-02-23)
    Machine learning and data mining have provided plenty of tools for extracting knowledge from data. Yet, such knowledge may not be directly applicable to target applications and might need further manipulation: The knowledge ...
  • Huck, Kevin A., 1972- (University of Oregon, 2009-03)
    Parallel applications running on high-end computer systems manifest a complex combination of performance phenomena, such as communication patterns, work distributions, and computational inefficiencies. Current performance ...
  • Rooshenas, Amirmohammad (University of Oregon, 2017-09-27)
    Probabilistic graphical models have been successfully applied to a wide variety of fields such as computer vision, natural language processing, robotics, and many more. However, for large scale problems represented using ...
  • Baruwa, Ahmed (University of Oregon, 2024-03-25)
    The use of anatomical landmarks spans a diverse set of applications because they are essential for understanding the human body. Several research studies have examined the correlation between body shape variations and human ...
  • Lai, Viet (University of Oregon, 2024-01-09)
    The last decade has seen the extraordinary evolution of deep learning in natural language processing leading to the rapid deployment of many natural language processing applications. However, the field of event extraction ...

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