Online Archive of University of Virginia Scholarship
Multivariate LSTM Fully Convolutional Networks for Time Series Classification; Analysis on Contemplative Spaces in China and Their Indications to Collaboration369 views
Author
Guo, Yike, School of Engineering and Applied Science, University of Virginia0000-0002-6250-7312
Advisors
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)
Language
English
Rights
All rights reserved (no additional license for public reuse)
Guo, Yike. Multivariate LSTM Fully Convolutional Networks for Time Series Classification; Analysis on Contemplative Spaces in China and Their Indications to Collaboration. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2020-05-12, https://doi.org/10.18130/v3-8kcw-kf61.
