Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Stella X. Yu"'
Autor:
Andrew D. Graham, Tejasvi Kothapalli, Jiayun Wang, Jennifer Ding, Vivien Tse, Penny A. Asbell, Stella X. Yu, Meng C. Lin
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36021- (2024)
Purpose: To use artificial intelligence to identify relationships between morphological characteristics of the Meibomian glands (MGs), subject factors, clinical outcomes, and subjective symptoms of dry eye. Methods: A total of 562 infrared meibograph
Externí odkaz:
https://doaj.org/article/eaa8815f07cc47f09cddcbffb73ace1a
Autor:
Zhongqi Miao, Stella X. Yu, Kyle L. Landolt, Mark D. Koneff, Timothy P. White, Luke J. Fara, Enrika J. Hlavacek, Bradley A. Pickens, Travis J. Harrison, Wayne M. Getz
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 9, Iss 4, Pp 439-453 (2023)
Abstract Remote aerial sensing provides a non‐invasive, large geographical‐scale technology for avian monitoring, but the manual processing of images limits its development and applications. Artificial Intelligence (AI) methods can be used to mit
Externí odkaz:
https://doaj.org/article/768e099f37754c19afd064e0a40dc959
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract This study introduces a deep learning approach to predicting demographic features from meibography images. A total of 689 meibography images with corresponding subject demographic data were used to develop a deep learning model for predictin
Externí odkaz:
https://doaj.org/article/1271284857aa4160af2552485caec4b4
Publikováno v:
IEEE Signal Processing Letters. :1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb4c3bac5067bce3478ebd02fab7dc75
https://doi.org/10.1109/lsp.2023.3257725
https://doi.org/10.1109/lsp.2023.3257725
Publikováno v:
Earthquake Engineering & Structural Dynamics. 52:2520-2532
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7777f0c42971049196c24d7a810db1e5
https://doi.org/10.1002/eqe.3805
https://doi.org/10.1002/eqe.3805
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 7:711-721
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::551ee7d0b4332db22f9b2564e4de3edf
https://doi.org/10.1109/tiv.2022.3152084
https://doi.org/10.1109/tiv.2022.3152084
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-15
Real world data often exhibits a long-tailed and open-ended (with unseen classes) distribution. A practical recognition system must balance between majority (head) and minority (tail) classes, generalize across the distribution, and acknowledge novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d19b3b567492d8a41a779e9ca96e109
https://doi.org/10.1109/tpami.2022.3200091
https://doi.org/10.1109/tpami.2022.3200091
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe2d145171e33f445e262e5b0e8f5af9
https://doi.org/10.1007/978-3-031-25085-9_11
https://doi.org/10.1007/978-3-031-25085-9_11
Publikováno v:
Scientific reports, vol 12, iss 1
This study introduces a deep learning approach to predicting demographic features from meibography images. A total of 689 meibography images with corresponding subject demographic data were used to develop a deep learning model for predicting gland m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a6b80fd108b435c75f6d824a407e460
https://escholarship.org/uc/item/4rj754n6
https://escholarship.org/uc/item/4rj754n6
Publikováno v:
Journal of Computing in Civil Engineering. 36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1047914a455facd8c85d0eda578e83a
https://doi.org/10.1061/(asce)cp.1943-5487.0001034
https://doi.org/10.1061/(asce)cp.1943-5487.0001034