Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nanjia Wang"'
Autor:
Bryson Lawton, Nanjia Wang, Steven Samoil, Parisa Daeijavad, Siqi Xie, Zhangxin Chen, Frank Maurer
Publikováno v:
Visual Informatics, Vol 8, Iss 1, Pp 26-46 (2024)
To help determine in what ways virtual reality (VR) technologies may benefit reservoir engineering workflows, we conducted a usability study on a prototype VR tool for performing reservoir model analysis tasks. By leveraging the strengths of VR techn
Externí odkaz:
https://doaj.org/article/c2265a53979149d486a4aaabcbb49c2c
Autor:
Nanjia Wang, Frank Maurer
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a034120f5fe0530ec36787c415a0afb8
https://doi.org/10.1109/ismar-adjunct57072.2022.00039
https://doi.org/10.1109/ismar-adjunct57072.2022.00039
Autor:
Farzana Aktar, Amir Aminbeidokhti, Stephen Cartwright, Zhangxin Chen, Parisa Daeijavad, Rachel Dalton, Seher Dawar, Die Hu, Bryson Lawton, Frank Maurer, Steven Samoil, Nanjia Wang, Siqi Xie
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20426d22fee8cc3e769bca10f7e7709a
https://doi.org/10.1109/ismar-adjunct57072.2022.00027
https://doi.org/10.1109/ismar-adjunct57072.2022.00027
Autor:
Nanjia Wang, Frank Maurer
Publikováno v:
Proceedings of the 2022 International Conference on Advanced Visual Interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b49dd1b2e488d6f7384206eff77208c
https://doi.org/10.1145/3531073.3531116
https://doi.org/10.1145/3531073.3531116
Autor:
Kimberly Amador, Anthony Winder, Nils D. Forkert, Jasmine A. Moore, Alejandro P. Gutierrez, Jordan J. Bannister, Anup Tuladhar, Nanjia Wang, Deepthi Rajashekar, Pauline Mouches, Serena Schimert, Nagesh K. Subbanna, Lucas Lo Vercio, Matthias Wilms, Sebastian Crites, M. Ethan MacDonald
Publikováno v:
Journal of Neural Engineering. 17:062001
In an increasingly data-driven world, artificial intelligence is expected to be a key tool for converting big data into tangible benefits and the healthcare domain is no exception to this. Machine learning aims to identify complex patterns in multi-d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cd5e17cebe310c3e74a020a24674707
https://doi.org/10.1088/1741-2552/abbff2
https://doi.org/10.1088/1741-2552/abbff2