Results 281 to 290 of about 2,307,954 (309)

Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients. [PDF]

Front Hum Neurosci
Feng J, Li Y, Huang Z, Chen Y, Lu S, Hu R, Hu Q, Chen Y, Wang X, Fan Y, He J.   +10 more
europepmc   +1 more source

Industry Driven Design and Manufacturing Course for Aerospace Engineering

Zhenhua Wu, Lorin Sodell, A.A. Elmustafa, Dawit A. Haile   +3 more
openalex   +1 more source

Corrigendum: Microfluidic-based human prostate-cancer-on-chip. [PDF]

Front Bioeng Biotechnol
Jiang L, Khawaja H, Tahsin S, Clarkson TA, Miranti CK, Zohar Y.   +5 more
europepmc   +1 more source

Outreach Projects to Broaden STEM Participation: Designed by Undergraduate Students at an Aerospace Engineering REU Site

Benjamin Ahn, MacKenzie Reber
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Numerical analysis and experimental verification of magnetic fluid sealing for air cylinder in Aerospace Engineering

International Journal of Applied Electromagnetics and Mechanics, 2021
In order to solve the problem of short service life (2 months) and zero leakage of air cylinder in aerospace engineering, this paper innovatively designs a magnetic fluid sealing device of air cylinder in aerospace engineering through magnetic circuit ...
Chen Fan, Chongfeng Zhang, Xiaolong Yang
semanticscholar   +1 more source

Carbon Fiber Composites Containing Strongly Coupled Si3N4 Nanowire-Carbon Nanotube Networks for Aerospace Engineering

ACS Applied Nano Materials, 2020
Constructing strong interaction architecture is the key to achieve high mechanical performance because local interlaminar force can act as an efficient and robust bridge. Herein, closely interconnected network of Si3N4 nanowires and carbon nanotubes (SNs-
Feiyan Zhu, Leilei Zhang, Kejie Guan, Hejun Li, Yong Yang   +4 more
semanticscholar   +1 more source

Intelligent Autonomy for Aerospace Engineering Systems

Symposium on Dependable Autonomic and Secure Computing, 2018
The technological innovation on CNS and GNC in aviation and aeronautics creates the need not only for advanced automation but also more autonomy, and even intelligence to develop innovative aerospace engineering systems.
C. Insaurralde
semanticscholar   +1 more source