Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Huiheng Wang"'
1
Akademický článek
Theoretical study on the phase sensitivity of condenser type acoustic transducers at low frequencies
Autor: Aibing Liu, Di Liu, Fan Zhang, Huiheng Wang, Jixing Wu, Feng Chen, Xiujuan Feng
Publikováno v: Journal of Low Frequency Noise, Vibration and Active Control, Vol 41 (2022)
The phase sensitivity of the condenser type acoustic transducers at low frequencies is crucial for locating large-scale natural and manmade activities, but is now commonly calibrated based on comparison methods. Although the primary method, which tra
Externí odkaz: https://doaj.org/article/15583ed958b3407388afd69a15ee1882
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2
Akademický článek
M-Net: A Novel U-Net With Multi-Stream Feature Fusion and Multi-Scale Dilated Convolutions for Bile Ducts and Hepatolith Segmentation
Autor: Xiaorui Fu, Nian Cai, Kemin Huang, Huiheng Wang, Ping Wang, Chengcheng Liu, Han Wang
Publikováno v: IEEE Access, Vol 7, Pp 148645-148657 (2019)
Automatically segmenting bile ducts and hepatolith in abdominal CT scans is helpful to assist hepatobiliary surgeons for minimally invasive surgery. High-deformation characteristics of bile ducts and small-size characteristics of hepatolith make this
Externí odkaz: https://doaj.org/article/428029478d7c480aa674b02c004b38ee
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7
Theoretical study on the phase sensitivity of condenser type acoustic transducers at low frequencies
Autor: Aibing Liu, Di Liu, Fan Zhang, Huiheng Wang, Jixing Wu, Feng Chen, Xiujuan Feng
Publikováno v: Journal of Low Frequency Noise, Vibration and Active Control. 41:419-431
The phase sensitivity of the condenser type acoustic transducers at low frequencies is crucial for locating large-scale natural and manmade activities, but is now commonly calibrated based on comparison methods. Although the primary method, which tra
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9314d17d84ee9214e81769c6bb7c2356
https://doi.org/10.1177/14613484211062395
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8
Brain MR image super-resolution via a deep convolutional neural network with multi-unit upsampling learning
Autor: Huiheng Wang, Nian Cai, Hao Xia, Yadong Mao, Ping Wang, Jian Li, Han Wang
Publikováno v: Signal, Image and Video Processing. 15:931-939
Image super-resolution (SR) is a preferred approach to achieving high-resolution MR images because they are typically achieved in real world at the expense of reduced signal-to-noise ratio and/or increased imaging time. A novel deep residual network
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::619f97c5abd463028025b76828ac068c
https://doi.org/10.1007/s11760-020-01817-x
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9
Automatic optical inspection system for IC solder joint based on local-to-global ensemble learning
Autor: Lin Jianfa, Han Wang, Nian Cai, Chen Wenjie, Huiheng Wang
Publikováno v: Soldering & Surface Mount Technology. 33:65-74
Purpose Automatic optical inspection (AOI) systems have been widely used in many fields to evaluate the qualities of products at the end of the production line. The purpose of this paper is to propose a local-to-global ensemble learning method for th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e879c9964a428c6a1c718187aa908a09
https://doi.org/10.1108/ssmt-03-2020-0011
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10
M-Net: A Novel U-Net With Multi-Stream Feature Fusion and Multi-Scale Dilated Convolutions for Bile Ducts and Hepatolith Segmentation
Autor: Fu Xiaorui, Chengcheng Liu, Han Wang, Nian Cai, Huang Kemin, Huiheng Wang, Ping Wang
Publikováno v: IEEE Access, Vol 7, Pp 148645-148657 (2019)
Automatically segmenting bile ducts and hepatolith in abdominal CT scans is helpful to assist hepatobiliary surgeons for minimally invasive surgery. High-deformation characteristics of bile ducts and small-size characteristics of hepatolith make this
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb956515dae90fd1a02b87dd39a76faf
https://ieeexplore.ieee.org/document/8864993/
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