Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Zairan Li"'
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26498- (2024)
Lasts are foot-shaped forms made of plastic, wood, aluminum, or 3D-printed plastic. The last of a shoe determines not only its shape and style but also how well it fits and protects the foot. A weight-updated boosting-based ensemble learning (WUBEL)
Externí odkaz:
https://doaj.org/article/91e2f3f731db40d5ada716768e698613
Publikováno v:
IEEE Access, Vol 5, Pp 4900-4912 (2017)
Key form features are relative to the style of product, and the expression on style features depicts the product description and is a measurement of attribute knowledge. The uncertainty definition leads to an improved and effective product style retr
Externí odkaz:
https://doaj.org/article/2443e409ce8d4e3fbff857c377550096
Publikováno v:
Frontiers in Artificial Intelligence and Applications ISBN: 9781643683720
Recent research has focused on learning 3D data through deep learning and improving geometric processing methods. Two aspects distinguish deep learning of point clouds from deep learning of images. A core aspect of the point cloud data is that it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c225240e578d2d20dd51958d8803003
https://doi.org/10.3233/faia220715
https://doi.org/10.3233/faia220715
Publikováno v:
International Journal of Ambient Computing and Intelligence. 12:1-21
Using the plantar pressure imaging analysis method to realize the optimization design of shoe last is still relatively preliminary. The analysis and utilization of imaging data still have problems such as single processing, incomplete information acq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::864e51c8d7062606f7a91323534b223f
https://doi.org/10.4018/ijaci.2021100101
https://doi.org/10.4018/ijaci.2021100101
Publikováno v:
Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
instname
instname
The number of deep learning (DL) layers increases, and following the performance of computing nodes improvement, the output accuracy of deep neural networks (DNN) faces a bottleneck problem. The resident network (RN) based DNN model was applied to ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f323cc43a81688e29970446077fbb5bf
https://reunir.unir.net/handle/123456789/12642
https://reunir.unir.net/handle/123456789/12642
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4ef79af4db6f4e9d1073db1b3f7142c
https://doi.org/10.2139/ssrn.4288733
https://doi.org/10.2139/ssrn.4288733
Autor:
Luminita Moraru, Anjan Biswas, Robert Simon Sherratt, Cunlei Wang, Fuqian Shi, Nilanjan Dey, Donghui Li, Dan Wang, Zairan Li
Publikováno v:
Optik. 185:543-557
The objective of this study was to design and produce highly comfortable shoe products guided by a plantar pressure imaging data-set. Previous studies have focused on the geometric measurement on the size of the plantar, while in this research a plan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4731f02162806d88b12e3a3c8b516b4
https://doi.org/10.1016/j.ijleo.2019.02.109
https://doi.org/10.1016/j.ijleo.2019.02.109
Autor:
Luminita Moraru, Dan Wang, Anjan Biswas, Zairan Li, Amira S. Ashour, Fuqian Shi, Nilanjan Dey
Publikováno v:
Optik. 179:99-114
Optical pressure sensors in foot scanner system (FSS) based imaging systems can directly and accurately reflect the elastic changes through the plantar tissue to form different pressure values in different regions. In this work, the computational com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a586c154264918f41a9f731e2767174
https://doi.org/10.1016/j.ijleo.2018.10.155
https://doi.org/10.1016/j.ijleo.2018.10.155
The number of layers of deep learning (DL) increases, and following the performance of computing nodes improvement, the output accuracy of deep neural networks (DNN) faces a bottleneck problem. The resident network (RN) based DNN model was applied to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1ef7c8de0ff38d505a428dc2cb1bb56
https://doi.org/10.21203/rs.3.rs-262837/v1
https://doi.org/10.21203/rs.3.rs-262837/v1
Publikováno v:
2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
A Self-organizing map neural network combining with classification output layers network was proposed for classifying plantar pressure dataset, which was acquired from foot 3D scan system after features extraction. The single SOM with 10, 15, 20, 30
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4858ee5dbf214f79cdc863a542ad88bf
https://doi.org/10.1109/itaic49862.2020.9339011
https://doi.org/10.1109/itaic49862.2020.9339011