Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Saptashwa Mitra"'
Autor:
Saptashwa Mitra, Maxwell Roselius, Pedro Andrade‐Sanchez, John K. McKay, Sangmi Lee Pallickara
Publikováno v:
Concurrency and Computation: Practice and Experience. 35
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1c3ca0dcec29841556f2f7741a5d0bf
https://doi.org/10.1002/cpe.7484
https://doi.org/10.1002/cpe.7484
Autor:
Caleb Carlson, Menuka Warushavithana, Saptashwa Mitra, Kassidy Barram, Sudipto Ghosh, Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0644b66a7e7a7618550d3e583e689750
https://doi.org/10.1109/bigdata55660.2022.10020602
https://doi.org/10.1109/bigdata55660.2022.10020602
Publikováno v:
2022 Fourth International Conference on Transdisciplinary AI (TransAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b396be43a164fb3cf29bc865e0dbe471
https://doi.org/10.1109/transai54797.2022.00023
https://doi.org/10.1109/transai54797.2022.00023
Autor:
Saptashwa Mitra, Menuka Warushavithana, Mazdak Arabi, Jay Breidt, Sangmi Pallickara, Shrideep Pallickara
Publikováno v:
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43b91423fc614c92261df03bd5505a66
https://doi.org/10.1109/ccgrid54584.2022.00055
https://doi.org/10.1109/ccgrid54584.2022.00055
Autor:
Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ec5023815cc784446ccbb33419bb7ce
https://doi.org/10.1109/bigdata52589.2021.9671289
https://doi.org/10.1109/bigdata52589.2021.9671289
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f5a7cc10164792d41588b542ebfab6
https://doi.org/10.1109/bigdata52589.2021.9671537
https://doi.org/10.1109/bigdata52589.2021.9671537
Autor:
Menuka Warushavithana, Caleb Carlson, Saptashwa Mitra, Daniel Rammer, Mazdak Arabi, Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara
Publikováno v:
2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies (BDCAT '21).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c33f7673af23619109302ad7b8150b8c
https://doi.org/10.1145/3492324.3494164
https://doi.org/10.1145/3492324.3494164
Autor:
Shrideep Pallickara, Menuka Warushavithana, Saptashwa Mitra, Sangmi Lee Pallickara, Mazdak Arabi, Jay Breidt
Publikováno v:
CLUSTER
We describe our methodology to support time-series forecasts over spatial datasets using the Prophet library. Our approach underpinned by our transfer learning scheme ensures that model instances capture subtle regional variations and converge faster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a0d9b3638cc93f0f66d60163fef3fa8
https://doi.org/10.1109/cluster48925.2021.00076
https://doi.org/10.1109/cluster48925.2021.00076
Publikováno v:
CLUSTER
We propose EVOKE, a model based on progressive Generative Adversarial Networks, that dynamically reconstructs high-resolution imagery during zoom-in operations using in-memory historical low-resolution images and is space-efficient to facilitate memo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::810f30fffae0366b3739d867010aa083
https://doi.org/10.1109/cluster48925.2021.00079
https://doi.org/10.1109/cluster48925.2021.00079
Publikováno v:
CLUSTER
The proliferation of sensors and observational instruments enable scientists to explore natural, spatiotemporal phenomena via explorative analysis and advanced modeling. Geospatial visualization, in particular, is an intuitive tool to identify patter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::371ccb9abce5bb731119859fe36b8ebf
https://doi.org/10.1109/cluster.2019.8891029
https://doi.org/10.1109/cluster.2019.8891029