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pro vyhledávání: '"Thomas, Nancy"'
Many industrial and service sectors require tools to extract vehicle characteristics from images. This is a complex task not only by the variety of noise, and large number of classes, but also by the constant introduction of new vehicle models to the
Externí odkaz:
http://arxiv.org/abs/2411.06864
Autor:
Thomas, Nancy, Rahimi, Saba, Vapsi, Annita, Ansell, Cathy, Christie, Elizabeth, Borrajo, Daniel, Balch, Tucker, Veloso, Manuela
Publikováno v:
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (2024) 7746-7751
Amidst escalating climate change, hurricanes are inflicting severe socioeconomic impacts, marked by heightened economic losses and increased displacement. Previous research utilized nighttime light data to predict the impact of hurricanes on economic
Externí odkaz:
http://arxiv.org/abs/2410.22150
Autor:
Radermecker, Victor, Zanon, Andrea, Thomas, Nancy, Vapsi, Annita, Rahimi, Saba, Ramakrishnan, Rama, Borrajo, Daniel
Understanding land cover holds considerable potential for a myriad of practical applications, particularly as data accessibility transitions from being exclusive to governmental and commercial entities to now including the broader research community.
Externí odkaz:
http://arxiv.org/abs/2410.09135
Autor:
Cui, Yi, Li, Yao, Miedema, Jayson R., Edmiston, Sharon N., Farag, Sherif, Marron, J. S., Thomas, Nancy E.
Automated region of interest detection in histopathological image analysis is a challenging and important topic with tremendous potential impact on clinical practice. The deep-learning methods used in computational pathology may help us to reduce cos
Externí odkaz:
http://arxiv.org/abs/2405.09851