Zobrazeno 1 - 10
of 316
pro vyhledávání: '"Ngan Le"'
Publikováno v:
Poultry Science, Vol 103, Iss 8, Pp 103765- (2024)
ABSTRACT: In the food industry, assessing the quality of poultry carcasses during processing is a crucial step. This study proposes an effective approach for automating the assessment of carcass quality without requiring skilled labor or inspector in
Externí odkaz:
https://doaj.org/article/ec3d2cad2dce45faa5bd211ebe35d563
Publikováno v:
IEEE Access, Vol 9, Pp 105711-105723 (2021)
Knowledge distillation, which is a process of transferring complex knowledge learned by a heavy network, i.e., a teacher, to a lightweight network, i.e., a student, has emerged as an effective technique for compressing neural networks. To reduce the
Externí odkaz:
https://doaj.org/article/20ba579f6abd49d8b045f9e4cc4d1136
Publikováno v:
IEEE Access, Vol 9, Pp 126431-126445 (2021)
Temporal action proposal generation (TAPG) aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet plays an important role in many tasks of video analysis and understanding. Despite the great achievement in TAPG
Externí odkaz:
https://doaj.org/article/8ac20b78c0f540cba1f96efb0daafe2c
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 12, Iss 2 (2022)
Externí odkaz:
https://doaj.org/article/fbb03f24d1fb4c0299615d54c028c5d2
Publikováno v:
Brain Sciences, Vol 12, Iss 7, p 863 (2022)
The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs. With the recent inc
Externí odkaz:
https://doaj.org/article/9e4b84cfc4594c4fa15e1b1ed55ebece
Publikováno v:
Future Internet, Vol 13, Iss 7, p 179 (2021)
Flow-based generative models have recently become one of the most efficient approaches to model data generation. Indeed, they are constructed with a sequence of invertible and tractable transformations. Glow first introduced a simple type of generati
Externí odkaz:
https://doaj.org/article/f1850aa7f91d4f859da5c38126981e52
Publikováno v:
Diagnostics, Vol 11, Iss 8, p 1393 (2021)
Medical image segmentation is one of the most challenging tasks in medical image analysis and widely developed for many clinical applications. While deep learning-based approaches have achieved impressive performance in semantic segmentation, they ar
Externí odkaz:
https://doaj.org/article/8528dd57dbf74d46b3c1f607cb0b96de
Publikováno v:
Diagnostics, Vol 11, Iss 6, p 1080 (2021)
This work aimed to assist physicians by improving their speed and diagnostic accuracy when interpreting portable CXRs as well as monitoring the treatment process to see whether a patient is improving or deteriorating with treatment. These objectives
Externí odkaz:
https://doaj.org/article/a226690a10c746f1990137f336e14e6c
Autor:
Larry Gold, Deborah Ayers, Jennifer Bertino, Christopher Bock, Ashley Bock, Edward N Brody, Jeff Carter, Andrew B Dalby, Bruce E Eaton, Tim Fitzwater, Dylan Flather, Ashley Forbes, Trudi Foreman, Cate Fowler, Bharat Gawande, Meredith Goss, Magda Gunn, Shashi Gupta, Dennis Halladay, Jim Heil, Joe Heilig, Brian Hicke, Gregory Husar, Nebojsa Janjic, Thale Jarvis, Susan Jennings, Evaldas Katilius, Tracy R Keeney, Nancy Kim, Tad H Koch, Stephan Kraemer, Luke Kroiss, Ngan Le, Daniel Levine, Wes Lindsey, Bridget Lollo, Wes Mayfield, Mike Mehan, Robert Mehler, Sally K Nelson, Michele Nelson, Dan Nieuwlandt, Malti Nikrad, Urs Ochsner, Rachel M Ostroff, Matt Otis, Thomas Parker, Steve Pietrasiewicz, Daniel I Resnicow, John Rohloff, Glenn Sanders, Sarah Sattin, Daniel Schneider, Britta Singer, Martin Stanton, Alana Sterkel, Alex Stewart, Suzanne Stratford, Jonathan D Vaught, Mike Vrkljan, Jeffrey J Walker, Mike Watrobka, Sheela Waugh, Allison Weiss, Sheri K Wilcox, Alexey Wolfson, Steven K Wolk, Chi Zhang, Dom Zichi
Publikováno v:
PLoS ONE, Vol 5, Iss 12, p e15004 (2010)
The interrogation of proteomes ("proteomics") in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology and medicine.We present a new aptamer-based proteomic technology for biomarker discovery capable of simultane
Externí odkaz:
https://doaj.org/article/60cf7be12d92486ea0f48de33701edfa