Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Tianjin Yang"'
Publikováno v:
BMC Microbiology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Polycystic ovary syndrome (PCOS) is an endocrinopathy in childbearing-age females which can cause many complications, such as diabetes, obesity, and dyslipidemia. The metabolic disorders in patients with PCOS were linked to gut mi
Externí odkaz:
https://doaj.org/article/ddd8b98f61d54c5e90c929a8a5fdd7ed
Publikováno v:
IEEE Access, Vol 8, Pp 135118-135130 (2020)
Human action recognition plays a key role in human-computer interaction in complex environments. However, similar actions will lead to poor feature sequence extraction and result in a reduction in recognition accuracy. This paper proposes a method (A
Externí odkaz:
https://doaj.org/article/c58d30a8f440467cb2e0d3ef05cd0b70
Publikováno v:
Symmetry, Vol 15, Iss 2, p 363 (2023)
3D human action recognition is crucial in broad industrial application scenarios such as robotics, video surveillance, autonomous driving, or intellectual education, etc. In this paper, we present a new point cloud sequence network called PointMapNet
Externí odkaz:
https://doaj.org/article/f499269bfb644de39cdc78ed976463d1
Publikováno v:
Sensors, Vol 20, Iss 18, p 5180 (2020)
In contemporary research on human action recognition, most methods separately consider the movement features of each joint. However, they ignore that human action is a result of integrally cooperative movement of each joint. Regarding the problem, th
Externí odkaz:
https://doaj.org/article/763f34baea1847bf81d4245107e52bfb
Autor:
Xiaobao Cao, Tomas Buryska, Tianjin Yang, Jing Wang, Peter Fischer, Aaron Streets, Stavros Stavrakis, Andrew deMello
Publikováno v:
Lab on a Chip, 23 (8)
Droplet-based microfluidic systems have emerged as powerful alternatives to conventional high throughput screening platforms, due to their operational flexibility, high-throughput nature and ability to efficiently process small fluid volumes. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d9b8c37f602ac3585bb371ccdf46b56
https://hdl.handle.net/20.500.11850/608885
https://hdl.handle.net/20.500.11850/608885
Autor:
Chowdhury, Aritra, Borgia, Alessandro, Ghosh, Souradeep, Sottini, Andrea, Mitra, Soumik, Eapen, Rohan S., Borgia, Madeleine B., Tianjin Yang, Galvanetto, Nicola, Ivanović, Miloš T., Łukijańczuk, Paweł, Ruijing Zhu, Nettels, Daniel, Kundagrami, Arindam, Schuler, Benjamin
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 10/10/2023, Vol. 120 Issue 41, p1-10, 36p
Publikováno v:
IEEE Transactions on Industrial Informatics. :1-10
Autor:
Tianjin Yang, Alessia Villois, Antonín Kunka, Fulvio Grigolato, Paolo Arosio, Zbynek Prokop, Andrew deMello, Stavros Stavrakis
Publikováno v:
Analytical Chemistry, 94 (48)
Protein folding, unfolding, and aggregation are important in a variety of biological processes and intimately linked to “protein misfolding diseases”. The ability to perform experiments at different temperatures allows the extraction of important
Publikováno v:
2022 IEEE International Conference on Multimedia and Expo (ICME).
Publikováno v:
IEEE Access, Vol 8, Pp 135118-135130 (2020)
Human action recognition plays a key role in human-computer interaction in complex environments. However, similar actions will lead to poor feature sequence extraction and result in a reduction in recognition accuracy. This paper proposes a method (A