Multivariate LSTM Fully Convolutional Networks for Time Series Classification; Analysis on Contemplative Spaces in China and Their Indications to Collaboration
Author: 
orcid.org/0000-0002-6250-7312
Guo, Yike, School of Engineering and Applied Science, University of Virginia
orcid.org/0000-0002-6250-7312Guo, Yike, School of Engineering and Applied Science, University of Virginia
Advisors:
Ferguson, Sean, EN-Engineering and Society, University of Virginia
Shen, Haiying, EN-Comp Science Dept, University of Virginia
Ferguson, Sean, EN-Engineering and Society, University of Virginia
Shen, Haiying, EN-Comp Science Dept, University of Virginia
Abstract:
My research question is analysis on the contemplative and collaboration spaces in institutions in China and in what ways they could indicate or relate to each other. I am particularly interested in how the strong mindfulness practice in contemplation and the distinct concept of “collaboration” impact the architectural design and use of contemplative spaces.
Degree:
BS (Bachelor of Science)
BS (Bachelor of Science)
Language:
English
English
Rights:
All rights reserved (no additional license for public reuse)
All rights reserved (no additional license for public reuse)
Issued Date:
2020/05/12
2020/05/12
