Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Andrew Dienstfrey"'
Autor:
Adam N. McCaughan, Bakhrom G. Oripov, Natesh Ganesh, Sae Woo Nam, Andrew Dienstfrey, Sonia M. Buckley
Publikováno v:
APL Machine Learning, Vol 1, Iss 2, Pp 026118-026118-14 (2023)
We present multiplexed gradient descent (MGD), a gradient descent framework designed to easily train analog or digital neural networks in hardware. MGD utilizes zero-order optimization techniques for online training of hardware neural networks. We de
Externí odkaz:
https://doaj.org/article/d79b9244ac1f4858ac3333f96876223c
Autor:
Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13:382-394
Data-driven modeling approaches such as jump tables are promising techniques to model populations of resistive random-access memory (ReRAM) or other emerging memory devices for hardware neural network simulations. As these tables rely on data interpo
Autor:
Kathryn E Keenan, Zydrunas Gimbutas, Andrew Dienstfrey, Karl F Stupic, Michael A Boss, Stephen E Russek, Thomas L Chenevert, P V Prasad, Junyu Guo, Wilburn E Reddick, Kim M Cecil, Amita Shukla-Dave, David Aramburu Nunez, Amaresh Shridhar Konar, Michael Z Liu, Sachin R Jambawalikar, Lawrence H Schwartz, Jie Zheng, Peng Hu, Edward F Jackson
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252966 (2021)
Recent innovations in quantitative magnetic resonance imaging (MRI) measurement methods have led to improvements in accuracy, repeatability, and acquisition speed, and have prompted renewed interest to reevaluate the medical value of quantitative T1.
Externí odkaz:
https://doaj.org/article/480832cd44ec45bbb6fb399e7d6eae54
Autor:
Maureen Ainslie, Kathryn E. Keenan, Jeffrey L. Evelhoch, Michael A. Boss, Edward F. Jackson, Pottumarthi V. Prasad, Paul Finn, Michele N. Martin, Guoying Liu, Derek L. G. Hill, Cecil Charles, Todor Karaulanov, Stephen E. Russek, Karl F. Stupic, Jeffrey L. Gunter, Clifford R. Jack, Chun Yuan, Nikki S. Rentz, Andrew Dienstfrey, Zydrunas Gimbutas
Publikováno v:
Magnetic Resonance in Medicine
Purpose A standard MRI system phantom has been designed and fabricated to assess scanner performance, stability, comparability and assess the accuracy of quantitative relaxation time imaging. The phantom is unique in having traceability to the Intern
Publikováno v:
AIAA J
In computational materials science, coarse-graining approaches often lack a priori uncertainty quantification (UQ) tools that estimate the accuracy of a reduced-order model before it is calibrated or deployed. This is especially the case in coarse-gr
Publikováno v:
ICC
To meet the ever-growing demands of data throughput for forthcoming and deployed wireless networks, new wireless technologies like Long-Term Evolution License-Assisted Access (LTE-LAA) operate in shared and unlicensed bands. However, the LAA network
Publikováno v:
Journal of Magnetic Resonance Imaging. 50:1948-1954
BACKGROUND Scanner upgrades due to software and hardware changes are an inevitable part of MR research and, without quality assurance protocols, can jeopardize studies. PURPOSE To evaluate changes in T1 relaxation time by inversion recovery (IR) and
Autor:
Thomas L. Chenevert, Sachin Jambawalikar, Kim M. Cecil, Kathryn E. Keenan, Peng Hu, Wilburn E. Reddick, Michael Z. Liu, Andrew Dienstfrey, Pottumarthi V. Prasad, Stephen E. Russek, Lawrence H. Schwartz, Amita Shukla-Dave, Zydrunas Gimbutas, David Aramburu Nunez, Junyu Guo, Jie Zheng, Amaresh Shridhar Konar, Karl F. Stupic, Michael A. Boss, Edward F. Jackson
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 6, p e0252966 (2021)
PLoS ONE, Vol 16, Iss 6, p e0252966 (2021)
Recent innovations in quantitative magnetic resonance imaging (MRI) measurement methods have led to improvements in accuracy, repeatability, and acquisition speed, and have prompted renewed interest to reevaluate the medical value of quantitative T1.
Publikováno v:
Phys Rev E
Motivated by the challenges of uncertainty quantification for coarse-grained (CG) molecular dynamics, we investigate the role of perturbation theory in model reduction of classical systems. In particular, we consider the task of coarse-graining rigid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc516024b409f3c8e08823b347f059ff
https://europepmc.org/articles/PMC8020260/
https://europepmc.org/articles/PMC8020260/
Autor:
Joo G. Lee, Andrew Dienstfrey, Jeffrey A. Jargon, Peter Jeavons, John B. Schlager, Chihyun Cho, Paul D. Hale
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 64:4071-4079
A channel mismatch calibration method is proposed for use in time-interleaved digital real-time oscilloscope (DRTO) applications. Linear equations are derived using Fourier transforms of the separated signals from each of the time-interleaved analog-