Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Yuandou Wang"'
Autor:
Zahra Tabatabaei, Yuandou Wang, Adrián Colomer, Javier Oliver Moll, Zhiming Zhao, Valery Naranjo
Publikováno v:
Bioengineering, Vol 10, Iss 10, p 1144 (2023)
The paper proposes a federated content-based medical image retrieval (FedCBMIR) tool that utilizes federated learning (FL) to address the challenges of acquiring a diverse medical data set for training CBMIR models. CBMIR is a tool to find the most s
Externí odkaz:
https://doaj.org/article/f74cf3ed35414f359e318f195a5f403f
Autor:
Yuandou Wang, Laishun Xi, Baogang Zhang, Qingzhen Zhu, Feng Su, Katarzyna Jelonek, Arkadiusz Orchel, Janusz Kasperczyk, Suming Li
Publikováno v:
Saudi Pharmaceutical Journal, Vol 28, Iss 3, Pp 290-299 (2020)
PTMC-PEG-PTMC triblock copolymers were prepared by ring-opening polymerization of trimethylene carbonate (TMC) in the presence of dihydroxylated poly(ethylene glycol) (PEG) with Mn of 6000 and 10,000 as macro-initiator. The copolymers with different
Externí odkaz:
https://doaj.org/article/0d5d7ed2ebbb4ce5b45221d6aaa5dbaf
Autor:
Laëtitia Launet, Yuandou Wang, Adrián Colomer, Jorge Igual, Cristian Pulgarín-Ospina, Spiros Koulouzis, Riccardo Bianchi, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo, Zhiming Zhao
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 919 (2023)
Deep learning-based algorithms have led to tremendous progress over the last years, but they face a bottleneck as their optimal development highly relies on access to large datasets. To mitigate this limitation, cross-silo federated learning has emer
Externí odkaz:
https://doaj.org/article/1efbf6ae12c34873b162e6bc3f1d2c77
Publikováno v:
Saudi Pharmaceutical Journal, Vol 27, Iss 7, Pp 1025-1035 (2019)
Nanotubes were prepared by self-assembly of the copolymer using co-solvent evaporation method. The biocompatibility of the nanotubes was assessed in comparison with spherical micelles and filomicelles prepared from poly(ethylene glycol)-poly(L-lactid
Externí odkaz:
https://doaj.org/article/0812f9349ad8490093e5fbb638a893fb
Publikováno v:
IEEE Access, Vol 7, Pp 39974-39982 (2019)
Cloud Computing provides an effective platform for executing large-scale and complex workflow applications with a pay-as-you-go model. Nevertheless, various challenges, especially its optimal scheduling for multiple conflicting objectives, are yet to
Externí odkaz:
https://doaj.org/article/e9c249e1b9c24b6480e071b753eaab94
Autor:
Wanbo Zheng, Yuandou Wang, Yunni Xia, Quanwang Wu, Lei Wu, Kunyin Guo, Weiling Li, Xin Luo, Qingsheng Zhu
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 13 (2017)
The cloud computing paradigm enables elastic resources to be scaled at run time satisfy customers’ demand. Cloud computing provisions on-demand service to users based on a pay-as-you-go manner. This novel paradigm enables cloud users or tenant user
Externí odkaz:
https://doaj.org/article/31d11cec71ab4d718ccea8aac22ae009
Publikováno v:
Journal of Pharmaceutical Sciences.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91e90c2c1a4dcdd32329673afe351be1
https://doi.org/10.1016/j.xphs.2023.02.004
https://doi.org/10.1016/j.xphs.2023.02.004
Publikováno v:
Journal of Applied Polymer Science. 140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c87ca2a49128bd89bf20747a95a6c013
https://doi.org/10.1002/app.53848
https://doi.org/10.1002/app.53848
Publikováno v:
Polymers for Advanced Technologies. 33:2620-2631
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f722d8e549eb6c5dedb93d80da38a11a
https://doi.org/10.1002/pat.5718
https://doi.org/10.1002/pat.5718
Autor:
Yuandou Wang, Spiros Koulouzis, Riccardo Bianchi, Na Li, Yifang Shi, Joris Timmermans, W. Daniel Kissling, Zhiming Zhao
Publikováno v:
Data Intelligence
Data Intelligence, 4(2), 409-425. MIT Press Journals
Data Intelligence, 4(2), 409-425. MIT Press Journals
Literate computing environments, such as the Jupyter (i.e., Jupyter Notebooks, JupyterLab, and JupyterHub), have been widely used in scientific studies; they allow users to interactively develop scientific code, test algorithms, and describe the scie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::324741ef6ed0f1cee357a0a4a5661741
https://doi.org/10.1162/dint_a_00140
https://doi.org/10.1162/dint_a_00140