Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Skylar W."'
Autor:
Lukas R. Dahlin, Alex W. Meyers, Skylar W. Stefani, Ellsbeth G. Webb, Benton Wachter, Venkataramanan Subramanian, Michael T. Guarnieri
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Rising global greenhouse gas emissions and the impacts of resultant climate change necessitate development and deployment of carbon capture and conversion technologies. Amongst the myriad of bio-based conversion approaches under evaluation, a formate
Externí odkaz:
https://doaj.org/article/209b79ee6ff44f7ebd7c14d12a26a81e
Feature grid Scene Representation Networks (SRNs) have been applied to scientific data as compact functional surrogates for analysis and visualization. As SRNs are black-box lossy data representations, assessing the prediction quality is critical for
Externí odkaz:
http://arxiv.org/abs/2407.19082
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-7 (2018)
Abstract Background Drawing integrated conclusions from diverse source data requires synthesis across multiple types of information. The ToxPi (Toxicological Prioritization Index) is an analytical framework that was developed to enable integration of
Externí odkaz:
https://doaj.org/article/a5bfa32da8184cf6bca69fcf03db1cc4
Autor:
Skylar W. Marvel, Daniel M. Rotroff, Michael J. Wagner, John B. Buse, Tammy M. Havener, Howard L. McLeod, Alison A. Motsinger-Reif, The ACCORD/ACCORDion Investigators
Publikováno v:
PeerJ, Vol 5, p e3187 (2017)
Background Individuals with type 2 diabetes are at an increased risk of cardiovascular disease. Alterations in circulating lipid levels, total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides (TG) are
Externí odkaz:
https://doaj.org/article/2f43bf3d4b6e4cd5985adbb5df2a301a
Autor:
Shi, Neng, Xu, Jiayi, Wurster, Skylar W., Guo, Hanqi, Woodring, Jonathan, Van Roekel, Luke P., Shen, Han-Wei
We propose GNN-Surrogate, a graph neural network-based surrogate model to explore the parameter space of ocean climate simulations. Parameter space exploration is important for domain scientists to understand the influence of input parameters (e.g.,
Externí odkaz:
http://arxiv.org/abs/2202.08956
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics (2022)
We explore an online reinforcement learning (RL) paradigm to dynamically optimize parallel particle tracing performance in distributed-memory systems. Our method combines three novel components: (1) a work donation algorithm, (2) a high-order workloa
Externí odkaz:
http://arxiv.org/abs/2109.05679
We present a novel technique for hierarchical super resolution (SR) with neural networks (NNs), which upscales volumetric data represented with an octree data structure to a high-resolution uniform grid with minimal seam artifacts on octree node boun
Externí odkaz:
http://arxiv.org/abs/2107.00462
Radiologists can classify a mammogram as normal or abnormal at better than chance levels after less than a second's exposure to the images. In this work, we combine these radiologists' gist inputs into pre-trained machine learning models to validate
Externí odkaz:
http://arxiv.org/abs/1912.05470
Autor:
Seif, Mujan N., Richardson, Dorothy J., Moody, Katherine M., Martin, Mary, Turner, Matthew, Mays, Skylar W., John Balk, T., Beck, Matthew J.
Publikováno v:
In Acta Materialia 1 January 2022 222
Autor:
Kosnik, Marissa B., Planchart, Antonio, Marvel, Skylar W., Reif, David M., Mattingly, Carolyn J.
Publikováno v:
In Computational Toxicology November 2019 12