Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Haoyu Wei"'
Publikováno v:
IET Microwaves, Antennas & Propagation, Vol 18, Iss 4, Pp 291-296 (2024)
Abstract A miniaturised high‐isolation K‐/Ka‐band diplexer with exceeding adjacent channels using 3D antarafacial channel integration and vertical‐quasi‐coaxial‐based matching network is proposed. For smaller size, lower loss and lower ch
Externí odkaz:
https://doaj.org/article/ffaefa9e408e4c3aa3add37733c5ae4e
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2332 (2024)
Mediation analysis is a useful tool to study the mechanism of how a treatment exerts effects on the outcome. Classical mediation analysis requires a sequential ignorability assumption to rule out cross-world reliance of the potential outcome of inter
Externí odkaz:
https://doaj.org/article/04d38585c1a249259447ef2a8f58407e
Publikováno v:
SN Applied Sciences, Vol 5, Iss 4, Pp 1-11 (2023)
Article Highlights This study uses neural networks to probabilistically segment TFM images and investigate uncertainty. The probabilistic U-Net outperforms other models, and high uncertainty is found in the shadow zone, reflections, and small defects
Externí odkaz:
https://doaj.org/article/aaf48e09e1074120beec2a5548ab83e4
Autor:
Regueiro-Picallo, Manuel, Langeveld, Jeroen, Haoyu Wei, Bertrand-Krajewski, Jean-Luc, Rieckermann, Jörg
Publikováno v:
Environmental Science Water Research & Technology; Apr2024, Vol. 10 Issue 4, p922-935, 14p
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 7:829-844
Exercise group recommendation plays an important role in many intelligent education tasks. However, existing approaches make recommendations based on the intrinsic features of exercises without considering students' learning abilities, or make select
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0336ef78becb5754e4c700cac4266c0c
https://doi.org/10.1109/tetci.2022.3220812
https://doi.org/10.1109/tetci.2022.3220812
Autor:
Huiming Zhang, Haoyu Wei
Publikováno v:
Mathematics, Vol 10, Iss 13, p 2252 (2022)
Constant-specified and exponential concentration inequalities play an essential role in the finite-sample theory of machine learning and high-dimensional statistics area. We obtain sharper and constants-specified concentration inequalities for the su
Externí odkaz:
https://doaj.org/article/9f5b790bee52471db47966cc77cef37b
Publikováno v:
Mathematics, Vol 10, Iss 10, p 1700 (2022)
Recently, the high-dimensional negative binomial regression (NBR) for count data has been widely used in many scientific fields. However, most studies assumed the dispersion parameter as a constant, which may not be satisfied in practice. This paper
Externí odkaz:
https://doaj.org/article/de910a5826034b7c9640779680551fdd
Publikováno v:
IEEE Transactions on Network Science and Engineering. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f98f88db3ef329eea876b093ceffd804
https://doi.org/10.1109/tnse.2023.3249829
https://doi.org/10.1109/tnse.2023.3249829
Publikováno v:
Entropy, Vol 24, Iss 1, p 30 (2021)
This paper aims to estimate an unknown density of the data with measurement errors as a linear combination of functions from a dictionary. The main novelty is the proposal and investigation of the corrected sparse density estimator (CSDE). Inspired b
Externí odkaz:
https://doaj.org/article/d65c97f9884b4ae7bfe5b8341e12d478
Publikováno v:
Plant and Soil.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::516fbb54a7ae8507c911a8a67c5c5da9
https://doi.org/10.1007/s11104-023-06026-2
https://doi.org/10.1007/s11104-023-06026-2