Zobrazeno 1 - 10
of 543
pro vyhledávání: '"Glandon A"'
Performance Benchmarking of HPC systems is an ongoing effort that seeks to provide information that will allow for increased performance and improve the job schedulers that manage these systems. We develop a benchmarking tool that utilizes machine le
Externí odkaz:
http://arxiv.org/abs/2307.14921
Autor:
Glandon, Hillary L., Reed, Emily M., Peterson, Scot D., Roswell, Charles R., Schmidt, Amber R., Chick, John H., Thomas, Sara M., Forsythe, Patrick S., Ruetz, Carl R., III, Czesny, Sergiusz J.
Publikováno v:
In Journal of Great Lakes Research October 2024 50(5)
Autor:
Vidyaratne, Lasitha, Alam, Mahbubul, Glandon, Alexander, Shabalina, Anna, Tennant, Christopher, Iftekharuddin, Khan
Efficient processing of large-scale time series data is an intricate problem in machine learning. Conventional sensor signal processing pipelines with hand engineered feature extraction often involve huge computational cost with high dimensional data
Externí odkaz:
http://arxiv.org/abs/2101.05608
Time integration methods for solving initial value problems are an important component of many scientific and engineering simulations. Implicit time integrators are desirable for their stability properties, significantly relaxing restrictions on time
Externí odkaz:
http://arxiv.org/abs/2011.10685
The Rosenbrock-Krylov family of time integration schemes is an extension of Rosenbrock-W methods that employs a specific Krylov based approximation of the linear system solutions arising within each stage of the integrator. This work proposes an exte
Externí odkaz:
http://arxiv.org/abs/1910.02514
Publikováno v:
Applied Numerical Mathematics, 150 (2020) 233-251
Many scientific applications require the solution of large initial-value problems, such as those produced by the method of lines after semi-discretization in space of partial differential equations. The computational cost of implicit time discretizat
Externí odkaz:
http://arxiv.org/abs/1908.10531
Autor:
Alam, Mahbubul, Samad, Manar D., Vidyaratne, Lasitha, Glandon, Alexander, Iftekharuddin, Khan M.
This survey presents a review of state-of-the-art deep neural network architectures, algorithms, and systems in vision and speech applications. Recent advances in deep artificial neural network algorithms and architectures have spurred rapid innovati
Externí odkaz:
http://arxiv.org/abs/1908.07656
Autor:
Sadeghzadehyazdi, Nasrin, Batabyal, Tamal, Glandon, A., Dhar, Nibir K., Familoni, B. O., Iftekharuddin, K. M., Acton, Scott T.
Gait recognition is a leading remote-based identification method, suitable for real-world surveillance and medical applications. Model-based gait recognition methods have been particularly recognized due to their scale and view-invariant properties.
Externí odkaz:
http://arxiv.org/abs/1905.00943
Autor:
Eaton, Casey, Patel, Shivani, Glandon, K. Loveday, Weger, Kristin, Mesmer, Bryan, Moreland, Robert
Publikováno v:
In Space Policy November 2022 62
Publikováno v:
Journal of Development Effectiveness; Sep2024, Vol. 16 Issue 3, p332-348, 17p