Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Chae, Junghoon"'
Publikováno v:
2024 International Workshop on Quantum Computing: Circuits Systems Automation and Applications
Driven by potential exponential speedups in business, security, and scientific scenarios, interest in quantum computing is surging. This interest feeds the development of quantum computing hardware, but several challenges arise in optimizing applicat
Externí odkaz:
http://arxiv.org/abs/2409.06159
Autor:
Patton, Robert M., Johnston, J. Travis, Young, Steven R., Schuman, Catherine D., Potok, Thomas E., Rose, Derek C., Lim, Seung-Hwan, Chae, Junghoon, Hou, Le, Abousamra, Shahira, Samaras, Dimitris, Saltz, Joel
Deep learning, through the use of neural networks, has demonstrated remarkable ability to automate many routine tasks when presented with sufficient data for training. The neural network architecture (e.g. number of layers, types of layers, connectio
Externí odkaz:
http://arxiv.org/abs/1909.12291
Autor:
Ugirumurera, Juliette, Severino, Joseph, Ficenec, Karen, Ge, Yanbo, Wang, Qichao, Williams, Lindy, Chae, Junghoon, Lunacek, Monte, Phillips, Caleb
Publikováno v:
In Transportation Research Part A November 2021 153:130-150
Publikováno v:
In Graphics and Visual Computing June 2020 3
Publikováno v:
In Computers & Graphics February 2014 38:51-60
Akademický článek
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Autor:
Chae, Junghoon
Publikováno v:
Open Access Dissertations
Recent advances in technology have enabled people to add location information to social networks called Location-Based Social Networks (LBSNs) where people share their communication and whereabouts not only in their daily lives, but also during abnor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::ed99ce65846eeb6b39eefd89c3927007
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=2130&context=open_access_dissertations
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=2130&context=open_access_dissertations
Autor:
Rustagi, Kush, Chae, Junghoon
Publikováno v:
The Summer Undergraduate Research Fellowship (SURF) Symposium
Now that social media sites have gained substantial traction, huge amounts of un-analyzed valuable data are being generated. Posts containing images and text have spatiotemporal data attached as well, having immense value for increasing situational a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::d478199d0cb8c3021c807877e0879f15
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1623&context=surf
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1623&context=surf
Publikováno v:
The Summer Undergraduate Research Fellowship (SURF) Symposium
With the fast growth of social media services, vast amount of user-generated content with time-space stamps are produced everyday. Considerable amount of these data are publicly available online, some of which collectively convey information that are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::e1398de32ab2b968787521b74060d17e
http://docs.lib.purdue.edu/surf/2014/presentations/100
http://docs.lib.purdue.edu/surf/2014/presentations/100
Akademický článek
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