Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ningxin, He"'
Publikováno v:
Journal of Safety Science and Resilience, Vol 3, Iss 1, Pp 15-23 (2022)
Social media analytics have played an important role in disaster identification. Recent advances in deep learning (DL) technologies have been applied to design disaster classification models. However, the DL-based models are hindered by insufficient
Externí odkaz:
https://doaj.org/article/1b19e54bdd084f0c9e90870b77643040
Publikováno v:
Information Sciences. 622:98-114
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd4b4e38fa1c30b69a4cbab096252bfe
https://doi.org/10.1016/j.ins.2022.11.124
https://doi.org/10.1016/j.ins.2022.11.124
Autor:
Ningxin He
Publikováno v:
Creative Education. 14:429-435
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83329976c1fc6d729f6c62474f76f0d9
https://doi.org/10.4236/ce.2023.143028
https://doi.org/10.4236/ce.2023.143028
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:7696-7706
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db39f5718734c50cdcf2d01f3ee6db1b
https://doi.org/10.1109/tii.2022.3140806
https://doi.org/10.1109/tii.2022.3140806
Publikováno v:
ISA Transactions. 128:17-31
By leveraging Industrial Cyber–Physical Systems (ICPSs), deep learning-based methods are applied to address various industrial issues. Due to privacy policy reasons, conventional centralized learning (CL) may be improper for some industrial scenari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5b18e8bea6bfc8096d87d48e06b1eb1
https://doi.org/10.1016/j.isatra.2021.09.007
https://doi.org/10.1016/j.isatra.2021.09.007
Autor:
Shuiping Yan, Si Ai, Lizhen Huang, Caixia Qiu, Fangting Zhang, Ningxin He, Xiangli Zhuang, Jian Zheng
Publikováno v:
Allergologia et Immunopathologia. 50:24-37
Background: The purpose of this meta-analysis is to systematically evaluate the efficacy of probiotics on allergic rhinitis (AR). Methods: Collecting randomized controlled trials (RCTs) with probiotics as intervention measures for AR, two researchers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1763a1141851b2261418768816314aa8
https://doi.org/10.15586/aei.v50i3.507
https://doi.org/10.15586/aei.v50i3.507
Publikováno v:
Journal of Safety Science and Resilience, Vol 3, Iss 1, Pp 15-23 (2022)
Social media analytics have played an important role in disaster identification. Recent advances in deep learning (DL) technologies have been applied to design disaster classification models. However, the DL-based models are hindered by insufficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7defdea785a0fad16a9ef9234a6af98
https://doi.org/10.1016/j.jnlssr.2021.10.007
https://doi.org/10.1016/j.jnlssr.2021.10.007
Autor:
Shuiping, Yan, Si, Ai, Lizhen, Huang, Caixia, Qiu, Fangting, Zhang, Ningxin, He, Xiangli, Zhuang, Jian, Zheng
Publikováno v:
Allergologia et immunopathologia. 50(3)
The purpose of this meta-analysis is to systematically evaluate the efficacy of probiotics on allergic rhinitis (AR).Collecting randomized controlled trials (RCTs) with probiotics as intervention measures for AR, two researchers independently screene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e3e8ca29dacc87535e52d13d7d437922
https://pubmed.ncbi.nlm.nih.gov/35527653
https://pubmed.ncbi.nlm.nih.gov/35527653