Zobrazeno 1 - 10
of 17 885
pro vyhledávání: '"Anderson C."'
Autor:
Anderson C. Armstrong, Rodrigo Cerci, Matthew B. Matheson, Tiago Magalhães, Satoru Kishi, Jeff Brinker, Melvin E. Clouse, Carlos E. Rochitte, Christopher Cox, João A. C. Lima, Armin Arbab-Zadeh
Publikováno v:
Arquivos Brasileiros de Cardiologia, Vol 120, Iss 3 (2023)
Resumo Fundamento A avaliação do Escore de Cálcio Coronariano (ECC) pode ser realizada por tomografia computadorizada sem contraste para prever eventos cardiovasculares, mas tem menor valor na estratificação de risco em pacientes sintomáticos.
Externí odkaz:
https://doaj.org/article/2f4cc2baa9474f22acf6fdb54c34d54a
Autor:
Valéria Quadros dos Reis, Maria E. R. Rabello, Anderson C. Lima, Guilherme P. S. Jardim, Eraldo R. Fernandes, Ulf Brefeld
Publikováno v:
Journal on Interactive Systems, Vol 14, Iss 1 (2023)
We present and analyze a new corpus comprising 82 privacy policies in Brazilian Portuguese collected from popular apps in Google Play Store called APP-BR. The contained documents are characterized by excessive lengths and poor readability. Analyzing
Externí odkaz:
https://doaj.org/article/dd4ee16b67b147ecb57243140061fb63
Autor:
Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen, Ariel Todoki
Publikováno v:
BMC Medical Genomics, Vol 14, Iss 1, Pp 1-18 (2021)
Abstract Background In biomedical applications, valuable data is often split between owners who cannot openly share the data because of privacy regulations and concerns. Training machine learning models on the joint data without violating privacy is
Externí odkaz:
https://doaj.org/article/f5a3b95b994d4970969d093c3bd935d2
Publikováno v:
IEEE Access, Vol 9, Pp 139928-139945 (2021)
Realizing fundamental cryptographic primitives with unconditional security is a central topic in information-theoretic cryptography. These primitives can be realized based on physical assumptions, such as the existence of noisy channels, an upper bou
Externí odkaz:
https://doaj.org/article/37ad00a9d0da48f3b0ebfb9e492c3417
Reinforcement learning algorithms are used in a wide range of applications, from gaming and robotics to autonomous vehicles. In this paper we describe a set of reinforcement learning-based local weight update rules and their implementation in superco
Externí odkaz:
http://arxiv.org/abs/2404.18774
Autor:
Ryan-Anderson, C., Brown, N. C., Baldwin, C. H., Dreiling, J. M., Foltz, C., Gaebler, J. P., Gatterman, T. M., Hewitt, N., Holliman, C., Horst, C. V., Johansen, J., Lucchetti, D., Mengle, T., Matheny, M., Matsuoka, Y., Mayer, K., Mills, M., Moses, S. A., Neyenhuis, B., Pino, J., Siegfried, P., Stutz, R. P., Walker, J., Hayes, D.
Quantum state teleportation is commonly used in designs for large-scale fault-tolerant quantum computers. Using Quantinuum's H2 trapped-ion quantum processor, we implement the first demonstration of a fault-tolerant state teleportation circuit for a
Externí odkaz:
http://arxiv.org/abs/2404.16728
Autor:
da Silva, M. P., Ryan-Anderson, C., Bello-Rivas, J. M., Chernoguzov, A., Dreiling, J. M., Foltz, C., Frachon, F., Gaebler, J. P., Gatterman, T. M., Grans-Samuelsson, L., Hayes, D., Hewitt, N., Johansen, J., Lucchetti, D., Mills, M., Moses, S. A., Neyenhuis, B., Paz, A., Pino, J., Siegfried, P., Strabley, J., Sundaram, A., Tom, D., Wernli, S. J., Zanner, M., Stutz, R. P., Svore, K. M.
The promise of quantum computers hinges on the ability to scale to large system sizes, e.g., to run quantum computations consisting of more than 100 million operations fault-tolerantly. This in turn requires suppressing errors to levels inversely pro
Externí odkaz:
http://arxiv.org/abs/2404.02280
Autor:
Vanderwoude, S., West, J. L., Gaensler, B. M., Rudnick, L., Van Eck, C. L., Thomson, A. J. M., Andernach, H., Anderson, C. S., Carretti, E., Heald, G. H., Leahy, J. P., McClure-Griffiths, N. M., O'Sullivan, S. P., Tahani, M., Willis, A. G.
The Polarisation Sky Survey of the Universe's Magnetism (POSSUM) will conduct a sensitive $\sim$1 GHz radio polarization survey covering 20 000 square degrees of the Southern sky with the Australian Square Kilometre Array Pathfinder (ASKAP). In antic
Externí odkaz:
http://arxiv.org/abs/2403.15668
Autor:
Mohamed, Ahmed P., Lee, Byunghyun, Zhang, Yaguang, Hollingsworth, Max, Anderson, C. Robert, Krogmeier, James V., Love, David J.
Machine learning (ML) offers a promising solution to pathloss prediction. However, its effectiveness can be degraded by the limited availability of data. To alleviate these challenges, this paper introduces a novel simulation-enhanced data augmentati
Externí odkaz:
http://arxiv.org/abs/2402.01969
Autor:
Anderson C. MENDES, Ângela B. DANTAS, Anne Caroline S. RIBEIRO, Livaldo O. SANTOS, Kamilla C. MENDES, Dorsan dos Santos MORAES, Rodolfo M. ALMEIDA
Publikováno v:
Acta Amazonica, Vol 50, Iss 2, Pp 159-169 (2020)
ABSTRACT Studies on provenance of minerals in Amazonian rivers focus mostly on suspended sediments, while processes that control bottom-sediment production and distribution are still little known. We determined the provenance of the bottom sediments
Externí odkaz:
https://doaj.org/article/42a3d9ea633344fab0be33559d0823df