Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shuhuan Han"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Phase-to-height mapping is one of the important processes in three dimensional phase measurement profilometry. But, in traditional phase-to-height mapping method, the measurement accuracy is affected by device attitude, so it needs saving a
Externí odkaz:
https://doaj.org/article/ee65f96c61c94fafb1ee79ceec3f3061
Publikováno v:
IEEE Photonics Journal, Vol 15, Iss 5, Pp 1-7 (2023)
The complementary Gray code double N-step phase shift method is widely used because of its high detection accuracy and good robustness. However, phase unwrapping methods have the problem of low detection efficiency. In order to solve above problem, t
Externí odkaz:
https://doaj.org/article/86660308b54746038e587a4141daeac2
Publikováno v:
IEEE Sensors Journal. 22:8915-8923
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cc4f2a76efa67dfa6e7e324a692948b
https://doi.org/10.1109/jsen.2022.3163590
https://doi.org/10.1109/jsen.2022.3163590
Publikováno v:
Journal of Computer-Aided Design & Computer Graphics. 33:1210-1221
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0780d3fabdb4ae26828c396d03e9f61
https://doi.org/10.3724/sp.j.1089.2021.18645
https://doi.org/10.3724/sp.j.1089.2021.18645
Publikováno v:
Chemical Engineering Journal. 453:139803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d279a7645e01842299dd0c759a046886
https://doi.org/10.1016/j.cej.2022.139803
https://doi.org/10.1016/j.cej.2022.139803
Publikováno v:
Journal of Physics: Conference Series. 1738:012072
Taking into account this problems of large data volume, high frequency, and fast energy consumption in data transmission and reception of wireless sensor networks, an energy-saving algorithm based on a penalty error matrix is adopted to reduce networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de72b27eff244339e711bcc755e57bcd
https://doi.org/10.1088/1742-6596/1738/1/012072
https://doi.org/10.1088/1742-6596/1738/1/012072
Publikováno v:
Journal of Physics: Conference Series. 1544:012030
Capsule networks (CapsNets) is a commonly used neural network structure, especially in computer vision research., which may have a significant impact on deep learning. Convolutional neural networks (CNNs) have reached superhuman level in various comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0583c56efce2629527ea36342bb3153
https://doi.org/10.1088/1742-6596/1544/1/012030
https://doi.org/10.1088/1742-6596/1544/1/012030