Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Bryce Rogan"'
Autor:
Zhengming Song, Bryce Rogan, Esteban Rougier, Viet T. Chau, Allon G. Percus, Yadong Ruan, Diana Y. Lee, Gowri Srinivasan, Hari S. Viswanathan, Bryan A. Moore, Max Schwarzer
We propose a machine learning approach to address a key challenge in materials science: predicting how fractures propagate in brittle materials under stress, and how these materials ultimately fail. Our methods use deep learning and train on simulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09c5620061bda7a77d779db2154f7b4e
http://arxiv.org/abs/1810.06118
http://arxiv.org/abs/1810.06118
Autor:
Katrina Smart, S. M. Mahdi Seyednezhad, Bryce Rogan, Mark B. Bush, Julia Strout, Eraldo Ribeiro
Publikováno v:
ICASSP
Ecologists can assess the health of flooded habitats or wetlands by studying the variations in the populations of bioindicators such as anurans (i.e., frogs and toads). To monitor anuran populations, ecologists manually identify anuran species from a