Zobrazeno 1 - 10
of 1 462
pro vyhledávání: '"David HE"'
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-8 (2022)
Abstract The majority of biomedical research is funded by public, governmental, and philanthropic grants. These initiatives often shape the avenues and scope of research across disease areas. However, the prioritization of disease-specific funding is
Externí odkaz:
https://doaj.org/article/f9502b8690a14f2aa5497132f8f85460
Autor:
Rajiv Tanwani, Mercy O Danquah, Nina Butris, Aparna Saripella, Ellene Yan, Paras Kapoor, Marina Englesakis, David F Tang-Wai, Maria Carmela Tartaglia, David He, Frances Chung
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291291 (2023)
BackgroundThe Ascertain Dementia 8-item Questionnaire (AD8) is a screening tool for cognitive impairment that can be administered to older persons and/or their informants.ObjectivesTo evaluate the diagnostic accuracy and compare the predictive parame
Externí odkaz:
https://doaj.org/article/60374d6019cf4021becb1886ec55a94d
Publikováno v:
IEEE Access, Vol 8, Pp 41482-41501 (2020)
The prediction of remaining useful life (RUL) of mechanical equipment provides a timely understanding of the equipment degradation and is critical for predictive maintenance of the equipment. In recent years, the applications of deep learning (DL) me
Externí odkaz:
https://doaj.org/article/8e46b581fc6d4d32b94bb3ebaabae83c
Autor:
Qalab Abbas, Adrian Holloway, Paula Caporal, Eliana López-Barón, Asya Agulnik, Kenneth E. Remy, John A. Appiah, Jonah Attebery, Ericka L. Fink, Jan Hau Lee, Shubhada Hooli, Niranjan Kissoon, Erika Miller, Srinivas Murthy, Fiona Muttalib, Katie Nielsen, Maria Puerto-Torres, Karla Rodrigues, Firas Sakaan, Adriana Teixeira Rodrigues, Erica A. Tabor, Amelie von Saint Andre-von Arnim, Matthew O. Wiens, William Blackwelder, David He, Teresa B. Kortz, Adnan T. Bhutta
Publikováno v:
Frontiers in Pediatrics, Vol 9 (2022)
BackgroundThe burden of pediatric critical illness and resource utilization by children with critical illness in resource limited settings (RLS) are largely unknown. Without specific data that captures key aspects of critical illness, disease present
Externí odkaz:
https://doaj.org/article/9c41ad0075174ae79423d5a40ac66060
Publikováno v:
Dianzi Jishu Yingyong, Vol 45, Iss 8, Pp 48-52 (2019)
For high-performance chip designs with ever-increasing scale and increasing operating frequency, performance has always been the focus and difficulty of physical design. The buffer is inserted to minimize signal line delay, which optimizes timing and
Externí odkaz:
https://doaj.org/article/999026a0b9d84d1c82983423edbc1189
Publikováno v:
IEEE Access, Vol 7, Pp 75464-75475 (2019)
Accurate and timely prediction of remaining useful life (RUL) of a machine enables the machine to have an appropriate operation and maintenance decision. Data-driven RUL prediction methods are more attractive to researchers because they can be deploy
Externí odkaz:
https://doaj.org/article/433187e6a8bf402ab2cfae9602f1e67a
Autor:
Tianxiao Zhang, David He
Publikováno v:
Advances in Mechanical Engineering, Vol 9 (2017)
In engineering design, structural components with variable cross sections are extensively employed due to their excellent mechanical properties. From a strength and stiffness perspective, structural components with a uniform cross section are not alw
Externí odkaz:
https://doaj.org/article/600e8b69c2f34944a89b13d258269055
Publikováno v:
PAIN Reports, Vol 2, Iss 2, p e587 (2017)
Abstract. Introduction:. The distinction between pain at rest and pain evoked by touch or movement has important clinical implications and may be associated with different mechanisms. However, current methods of clinical pain assessment pay little at
Externí odkaz:
https://doaj.org/article/fc8f9d7c41df47f5bfa4845b9f5e8086
Publikováno v:
Sensors, Vol 14, Iss 1, Pp 1372-1393 (2014)
In recent years, acoustic emission (AE) sensors and AE-based techniques have been developed and tested for gearbox fault diagnosis. In general, AE-based techniques require much higher sampling rates than vibration analysis-based techniques for gearbo
Externí odkaz:
https://doaj.org/article/16c2027246604f85847a8e5f10fae18f
Publikováno v:
Applied Sciences, Vol 9, Iss 4, p 768 (2019)
This paper deals with gear pitting fault diagnosis problem and presents a method by integrating convolutional neural network (CNN) and gated recurrent unit (GRU) networks with vibration and acoustic emission signals to solve the problem. The presente
Externí odkaz:
https://doaj.org/article/1a67fdc391da400ba5689901b42cc00f