Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Hao, Yan"'
Publikováno v:
Information Sciences. 622:1184-1195
Publikováno v:
IEEE Intelligent Systems. 38:45-57
Publikováno v:
Neural Computing and Applications. 34:22275-22286
Publikováno v:
Applied Intelligence. 53:7677-7696
Neural Networks (NNs) have been widely {used in supervised learning} due to their ability to model complex nonlinear patterns, often presented in high-dimensional data such as images and text. However, traditional NNs often lack the ability for uncer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8b8d26800672aa3fd26f2a1030280e4
http://arxiv.org/abs/2210.08608
http://arxiv.org/abs/2210.08608
Open-circuit fault diagnosis in voltage source inverter for motor drive by using deep neural network
Publikováno v:
Engineering Applications of Artificial Intelligence. 120:105866
Autor:
Ben Wang, Zhen Qian, Chuck Zhang, Xiaowei Yue, Hao Yan, Geet Lahoti, Jialei Chen, Chitta Ranjan
Publikováno v:
IISE Transactions on Healthcare Systems Engineering. :1-17
Pixel-level feature detection from images is an essential but challenging task encountered in domains such as detecting defects in manufacturing systems and detecting tumors in medical imaging. Oft...
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 18:603-614
Compared with the rapidly growing artificial intelligence (AI) research in other branches of healthcare, the pace of developing AI capacities in dental care is relatively slow. Dental care automation, especially the automated capability for dental co
Publikováno v:
J Appl Stat
We propose an efficient statistical method (denoted as SSR-Tensor) to robustly and quickly detect hot-spots that are sparse and temporal-consistent in a spatial-temporal dataset through the tensor decomposition. Our main idea is first to build an SSR
Autor:
Hao Yan
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 39:8937-8942
Under the influence of epidemic situation, the treatment of pollutants is stricter After the epidemic, how to treat the river pollutants by microorganisms has become a difficult problem In this paper, the microbial treatment technology of water pollu