Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Donghee Ha"'
Publikováno v:
Sensors, Vol 23, Iss 15, p 6893 (2023)
Numerous deep learning methods for acoustic scene classification (ASC) have been proposed to improve the classification accuracy of sound events. However, only a few studies have focused on continual learning (CL) wherein a model continually learns t
Externí odkaz:
https://doaj.org/article/ef2dc4d43eff4ef390b18bf3d1329155
Publikováno v:
Sensors, Vol 21, Iss 7, p 2364 (2021)
Recent studies have applied the superior performance of deep learning to mobile devices, and these studies have enabled the running of the deep learning model on a mobile device with limited computing power. However, there is performance degradation
Externí odkaz:
https://doaj.org/article/8d014274c5454809a52ff2bf20a09690
Autor:
Donghee Ha
Publikováno v:
International Journal of Tourism and Hospitality Research. 37:77-93
Publikováno v:
Journal of Korean Institute of Intelligent Systems. 32:117-126
Publikováno v:
KIISE Transactions on Computing Practices. 27:263-272
Publikováno v:
BioResources, Vol 19, Iss 3, Pp 6605-6620 (2024)
Substituting the use of non-renewable materials with wood-based products in the furniture industry is expected to reduce greenhouse gas (GHG) emissions. This substitution effect can be quantified by estimating the displacement factor (DF) of wood pro
Externí odkaz:
https://doaj.org/article/47e8b131ced14b60a8c567f8536df393
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Muscarinic acetylcholine receptor M3 (M3) and its downstream effector Gq/11 are critical drug development targets due to their involvement in physiopathological processes. Although the structure of the M3-miniGq complex was recently publishe
Externí odkaz:
https://doaj.org/article/ebcad8a151474d7a8d09eb8053bb6323
Autor:
Lohendran Baskaran, Linxuan Yan, Chun S. Tan, Woon W. Ho, Swee Y. Tan, Michelle C. Williams, Donghee Han, Rine Nakanishi, Rodrigo J. Cerci, Ming‐Yen Ng, Leslee J. Shaw, Terrance S. J. Chua, Pamela Douglas, Simon Winther
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 13 (2024)
Background Most pretest probability (PTP) tools for obstructive coronary artery disease (CAD) were Western ‐developed. The most appropriate PTP models and the contribution of coronary artery calcium score (CACS) in Asian populations remain unknown.
Externí odkaz:
https://doaj.org/article/dab38748afef45db910e30667192c811
Publikováno v:
MobiSys
Image-based convolutional neural network(CNN) algorithms are spreading across a variety of applications. In particular, an autonomous vehicle recognizes objects and the surrounding situation using the CNN models. CNN models for image classification a
Autor:
Robert J.H. Miller, Bryan P. Bednarski, Konrad Pieszko, Jacek Kwiecinski, Michelle C. Williams, Aakash Shanbhag, Joanna X. Liang, Cathleen Huang, Tali Sharir, M. Timothy Hauser, Sharmila Dorbala, Marcelo F. Di Carli, Mathews B. Fish, Terrence D. Ruddy, Timothy M. Bateman, Andrew J. Einstein, Philipp A. Kaufmann, Edward J. Miller, Albert J. Sinusas, Wanda Acampa, Donghee Han, Damini Dey, Daniel S. Berman, Piotr J. Slomka
Publikováno v:
EBioMedicine, Vol 99, Iss , Pp 104930- (2024)
Summary: Background: Myocardial perfusion imaging (MPI) is one of the most common cardiac scans and is used for diagnosis of coronary artery disease and assessment of cardiovascular risk. However, the large majority of MPI patients have normal result
Externí odkaz:
https://doaj.org/article/1ebd9b1ba5254425a0a74eefbe0cbb75