Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Chow Yin Lai"'
Publikováno v:
IEEE Access, Vol 10, Pp 21541-21553 (2022)
Point clouds produced by either 3D scanners or multi-view images are often imperfect and contain noise or outliers. This paper presents an end-to-end robust spherical harmonics approach to classifying 3D objects. The proposed framework first uses the
Externí odkaz:
https://doaj.org/article/e5da2491c901499db92f849d568587b3
Publikováno v:
Intelligent Systems with Applications, Vol 17, Iss , Pp 200162- (2023)
The task of learning from point cloud data is always challenging due to the often occurrence of noise and outliers in the data. Such data inaccuracies can significantly influence the performance of state-of-the-art deep learning networks and their ab
Externí odkaz:
https://doaj.org/article/1d4d2cca130740d6829e87692490ef3c
Autor:
Florence Leong, Chow Yin Lai, Siamak Farajzadeh Khosroshahi, Liang He, Simon de Lusignan, Thrishantha Nanayakkara, Mazdak Ghajari
Publikováno v:
Bioengineering, Vol 9, Iss 11, p 687 (2022)
Robotic patients show great potential for helping to improve medical palpation training, as they can provide feedback that cannot be obtained in a real patient. They provide information about internal organ deformation that can significantly enhance
Externí odkaz:
https://doaj.org/article/f6e1b1e11db94ced923bcc0110d849f8
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 17, Iss 2, Pp 25-30 (2019)
Augmented Reality (AR) and Virtual Reality (VR) play an important role for the implementation of Industry 4.0 - especially in the area of virtual prototyping, manufacturing and maintenance. Thus, a holistic integration of these technologies in existi
Externí odkaz:
https://doaj.org/article/b974a4a8415144048a87b5d39b39dc93
Publikováno v:
IEEE Access, Vol 7, Pp 163757-163766 (2019)
Three-dimensional point clouds produced by 3D scanners are often noisy and contain outliers. Such data inaccuracies can significantly affect current deep learning-based methods and reduce their ability to classify objects. Most deep neural networks-b
Externí odkaz:
https://doaj.org/article/ff744f3faf994f53bda1b7689e1b4453
Publikováno v:
IEEE Reviews in Biomedical Engineering. 13:184-198
The field of robotic surgery has progressed from small teams of researchers repurposing industrial robots, to a competitive and highly innovative subsection of the medical device industry. Surgical robots allow surgeons to perform tasks with greater
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22b47296653c84634507160ae465d2f7
https://doi.org/10.1109/rbme.2019.2949749
https://doi.org/10.1109/rbme.2019.2949749
Publikováno v:
KES
Industrial robots have been traditionally programmed using teaching pendants, whereas offline programming methods are getting increasingly popular in recent years. Although the above two methods are widely-used in the industry, they both have certain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea8fe05432d342dada3038437d1abfe5
https://doi.org/10.1016/j.procs.2020.09.119
https://doi.org/10.1016/j.procs.2020.09.119
Publikováno v:
International journal of computer assisted radiology and surgery.
Purpose Planning for bone tumor resection surgery is a technically demanding and time-consuming task, reliant on manual positioning of planar cuts in a virtual space. More elaborate cutting approaches may be possible through the use of surgical robot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50c518e670ffd4612aa64e927de3bdd1
https://pubmed.ncbi.nlm.nih.gov/36319922
https://pubmed.ncbi.nlm.nih.gov/36319922
Publikováno v:
Mechanism and Machine Theory. 177:104994
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f96ecc3f2dab1c3f3a3ca3f01eec12f5
https://doi.org/10.1016/j.mechmachtheory.2022.104994
https://doi.org/10.1016/j.mechmachtheory.2022.104994
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 234:945-955
Gap width is an important factor that affects material removal rate, surface finish, and machining stability in electrical discharge machining processes. This research is to develop a novel control method for a new hybrid positioning system which con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::797daf94bb63d9468b5c819ccaa68e50
https://doi.org/10.1177/0954405419889201
https://doi.org/10.1177/0954405419889201