Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Minsik Lee"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We proposed various examination protocols for screening neurological diseases and collected data by video-recording persons performing these proto
Externí odkaz:
https://doaj.org/article/0682de37794a4869b183261ca46f1ab8
Evaluation of Fused Deposition Modeling Materials for 3D-Printed Container of Dosimetric Polymer Gel
Publikováno v:
Gels, Vol 10, Iss 2, p 146 (2024)
Accurate dosimetric verification is becoming increasingly important in radiotherapy. Although polymer gel dosimetry may be useful for verifying complex 3D dose distributions, it has limitations for clinical application due to its strong reactivity wi
Externí odkaz:
https://doaj.org/article/1924285079704ecd803cbcb28d8e364c
Publikováno v:
IEEE Access, Vol 9, Pp 18383-18392 (2021)
Recently, several studies have proposed methods to utilize some classes of optimization problems in designing deep neural networks to encode constraints that conventional layers cannot capture. However, these methods are still in their infancy and re
Externí odkaz:
https://doaj.org/article/a047ad145d194abba69819e67f23a572
Publikováno v:
IEEE Access, Vol 8, Pp 132489-132501 (2020)
Sparse representation has been widely used over the past decade in computer vision and signal processing to model a wide range of natural phenomena. For computational convenience and robustness against noises, the optimization problem for sparse repr
Externí odkaz:
https://doaj.org/article/cbb1086fc4c24e6b8da6dd9085e6c2c1
Publikováno v:
IEEE Access, Vol 8, Pp 216781-216792 (2020)
Detecting pill defection remains challenging, despite recent extensive studies, because of the lack of defective data. In this paper, we propose a pipeline composed of a pill detection module and an autoencoder-based defect detection module to detect
Externí odkaz:
https://doaj.org/article/30d786df20764463b1fc65a2c96b05e1
Publikováno v:
Sensors, Vol 21, Iss 22, p 7768 (2021)
3D point cloud resampling based on computational geometry is still a challenging problem. In this paper, we propose a point cloud resampling algorithm inspired by the physical characteristics of the repulsion forces between point electrons. The point
Externí odkaz:
https://doaj.org/article/da944fd2cdf94570ae3c77685cf98e71
Autor:
Jungchan Cho, Minsik Lee
Publikováno v:
Sensors, Vol 19, Iss 19, p 4307 (2019)
As artificial intelligence (AI)- or deep-learning-based technologies become more popular, the main research interest in the field is not only on their accuracy, but also their efficiency, e.g., the ability to give immediate results on the users’ in
Externí odkaz:
https://doaj.org/article/5b8f8fe096a4435882f5397fef95e87c
Publikováno v:
Sensors, Vol 19, Iss 1, p 43 (2018)
There have been decades of research on face recognition, and the performance of many state-of-the-art face recognition algorithms under well-conditioned environments has become saturated. Accordingly, recent research efforts have focused on difficult
Externí odkaz:
https://doaj.org/article/8387a0def5d443f3b46a94a2993bf310
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0138859 (2015)
In face recognition, most appearance-based methods require several images of each person to construct the feature space for recognition. However, in the real world it is difficult to collect multiple images per person, and in many cases there is only
Externí odkaz:
https://doaj.org/article/85be8feee0ac4b82bdf59299a99979ae
Publikováno v:
Society for Standards Certification and Safety. 12:13-23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae6b5c74dca4c85db2ad934d5d9bdf8e
https://doi.org/10.34139/jscs.2022.12.3.13
https://doi.org/10.34139/jscs.2022.12.3.13