Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sara Shoouri"'
Autor:
Inhee Lee, Roger Hsiao, Gordy Carichner, Chin-Wie Hsu, Mingyu Yang, Sara Shoouri, Katherine Ernst, Tess Carichner, Yuyang Li, Jaechan Lim, Cole R. Julick, Eunseong Moon, Yi Sun, Jamie Phillips, Kristi L. Montooth, Delbert A. Green II, Hun-Seok Kim, David Blaauw
Publikováno v:
GetMobile: Mobile Computing and Communications. 26:25-29
Each fall, millions of monarch butterflies across the U.S. and Canada migrate up to 4,000 km to overwinter in the same cluster of mountaintops in central Mexico. In spring, these migrants mate and remigrate northwards to repopulate their northern bre
Autor:
Sara Shoouri, Mingyu Yang, Gordy Carichner, Yuyang Li, Ehab A. Hamed, Angela Deng, Delbert A. Green, Inhee Lee, David Blaaw, Hun-Seok Kim
Publikováno v:
2022 IEEE Data Science and Learning Workshop (DSLW).
A new GPS-less, daily localization method is proposed with deep learning sensor fusion that uses daylight intensity and temperature sensor data for Monarch butterfly tracking. Prior methods suffer from the location-independent day length during the e
Autor:
Jaechan Lim, Yuyang Li, Jamie Phillips, Eunseong Moon, Katherine Ernst, Gordy Carichner, David Blaauw, Kristi L. Montooth, Hun-Seok Kim, Cole R. Julick, Yi Sun, Sara Shoouri, Tess Carichner, Mingyu Yang, Inhee Lee, Delbert A. Green, Chin-Wei Hsu, Roger Hsiao
Publikováno v:
Proceedings of the 27th Annual International Conference on Mobile Computing and Networking.
Each fall, millions of monarch butterflies across the northern US and Canada migrate up to 4,000 km to overwinter in the exact same cluster of mountain peaks in central Mexico. To track monarchs precisely and study their navigation, a monarch tracker