Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Rajesh Kalyanam"'
Publikováno v:
PNAS Nexus. 2
Herein, we introduce a novel methodology to generate urban morphometric parameters that takes advantage of deep neural networks and inverse modeling. We take the example of Chicago, USA, where the Urban Canopy Parameters (UCPs) available from the Nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::230647fdec6ca7913b36f1a75e67c7df
https://doi.org/10.1093/pnasnexus/pgad027
https://doi.org/10.1093/pnasnexus/pgad027
Publikováno v:
2022 IEEE 18th International Conference on e-Science (e-Science).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7a960f1e66148dec19f0146d7dbb378
https://doi.org/10.1109/escience55777.2022.00094
https://doi.org/10.1109/escience55777.2022.00094
CHEESEHub is a web-accessible, public science gateway that hosts containerized, hands-on demonstrations of cybersecurity concepts. There are now a plethora of services and tools designed to simplify modern gateway deployment and configuration such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f5cf894e02a7d0ce4f2bd66b8b32b7f
Autor:
X. Carol Song, Preston Smith, Rajesh Kalyanam, Xiao Zhu, Eric Adams, Kevin Colby, Patrick Finnegan, Erik Gough, Elizabett Hillery, Rick Irvine, Amiya Maji, Jason St. John
Publikováno v:
Practice and Experience in Advanced Research Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1601c9e85c7cef8c4e32ce1bb967b524
https://doi.org/10.1145/3491418.3530766
https://doi.org/10.1145/3491418.3530766
Autor:
Sandra Gesing, Claire Stirm, Gerhard Klimeck, Lynn Zentner, Su Wang, Braulio Misael Villegas Martinez, Carrie Diaz Eaton, Sam Donovan, Lan Zhao, Carol Song, I Luk Kim, Alejandro Strachan, Michael Zentner, Rajesh Kalyanam
Publikováno v:
Proceedings of the Annual Hawaii International Conference on System Sciences.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::164e6a321986968932a6473ccdecf295
https://doi.org/10.24251/hicss.2022.090
https://doi.org/10.24251/hicss.2022.090
Publikováno v:
PEARC
The Cyber Human Ecosystem for Engaged Security Education (CHEESEHub) is an open web platform that hosts community-contributed containerized demonstrations of cybersecurity concepts. In order to maximize flexibility, scalability, and utilization, CHEE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c388695f2988e0ce72afe3b051cd3d3b
https://doi.org/10.1145/3437359.3465584
https://doi.org/10.1145/3437359.3465584
Autor:
Jaewoo Shin, Rajesh Kalyanam, Larry Biehl, I Luk Kim, Nelson B. Villoria, Carol Song, Derrick Kearney, Lan Zhao, Venkatesh Merwade
Publikováno v:
Future Generation Computer Systems. 94:820-832
Science gateways are an integral component of modern collaborative research. They find widespread adoption by research groups to share data, code and tools both amongst collaborators on a project and the broader community. However, not unlike researc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8be1bf72e41c76afa5b52a711a5610d6
https://doi.org/10.1016/j.future.2018.02.005
https://doi.org/10.1016/j.future.2018.02.005
Autor:
Rajesh Kalyanam, Vlado Stankovski
Publikováno v:
Concurrency and Computation: Practice and Experience. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40189f436206ca93abf43ff6b4efc223
https://doi.org/10.1002/cpe.6335
https://doi.org/10.1002/cpe.6335
Publikováno v:
FIE
SIGITE
SIGITE
This Innovative Practice Full Paper presents CHEESE, a platform for cybersecurity education that complements formal classroom instruction with hands-on experience. With the ubiquitous use of computing devices and applications today, the protection of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0ec897324a4e922e74ee69706ef72f8
https://doi.org/10.1109/fie44824.2020.9273931
https://doi.org/10.1109/fie44824.2020.9273931
Autor:
Christopher May, Liu He, Dev Niyogi, Rajesh Kalyanam, Gen Nishida, Manush Bhatt, Daniel G. Aliaga
Publikováno v:
PEARC
We present a Photo2Building tool to create a plausible 3D model of a building from only a single photograph. Our tool is based on a prior desktop version which, as described in this paper, is converted into a client-server model, with job queuing, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d337e0604ac4a73907ed563dbdff4d50
http://arxiv.org/abs/2008.01286
http://arxiv.org/abs/2008.01286