Zobrazeno 1 - 10
of 4 267
pro vyhledávání: '"Chang, Hsin"'
Autor:
Chang, Hsin-Yu, Chen, Pei-Yu, Chou, Tun-Hsiang, Kao, Chang-Sheng, Yu, Hsuan-Yun, Lin, Yen-Ting, Chen, Yun-Nung
This paper provides a detailed survey of synthetic data techniques. We first discuss the expected goals of using synthetic data in data augmentation, which can be divided into four parts: 1) Improving Diversity, 2) Data Balancing, 3) Addressing Domai
Externí odkaz:
http://arxiv.org/abs/2407.03672
In an axion haloscope, the weak photon signal, theoretically converted from axions, is captured by a detection cavity. The amplification chain assists the signal receiver to read the signal from the cavity and requires accurate calibration. Typically
Externí odkaz:
http://arxiv.org/abs/2406.13350
Publikováno v:
JMIR mHealth and uHealth, Vol 9, Iss 6, p e19941 (2021)
BackgroundPhysical inactivity is a global issue that affects people’s health and productivity. With the advancement of mobile technologies, many apps have been developed to facilitate health self-management. However, few studies have examined the e
Externí odkaz:
https://doaj.org/article/369ee850b06a40e0b963f304174fe066
A commonly noted problem in the simulation of warm season convection in the North American monsoon region has been the inability of atmospheric models at the meso- scales (10 s to 100 s of kilometers) to simulate organized convection, principally mes
Externí odkaz:
http://hdl.handle.net/10150/627083
http://arizona.openrepository.com/arizona/handle/10150/627083
http://arizona.openrepository.com/arizona/handle/10150/627083
Autor:
Luong, Thang M., Castro, Christopher L., Chang, Hsin-I, Lahmers, Timothy, Adams, David K., Ochoa-Moya, Carlos A.
Long-term changes in North American monsoon (NAM) precipitation intensity in the southwestern United States are evaluated through the use of convective-permitting model simulations of objectively identified severe weather events during "historical pa
Externí odkaz:
http://hdl.handle.net/10150/626082
http://arizona.openrepository.com/arizona/handle/10150/626082
http://arizona.openrepository.com/arizona/handle/10150/626082
Autor:
Switanek, Matthew B., Troch, Peter A., Castro, Christopher L., Leuprecht, Armin, Chang, Hsin-I, Mukherjee, Rajarshi, Demaria, Eleonora M. C.
Commonly used bias correction methods such as quantile mapping (QM) assume the function of error correction values between modeled and observed distributions are stationary or time invariant. This article finds that this function of the error correct
Externí odkaz:
http://hdl.handle.net/10150/624439
http://arizona.openrepository.com/arizona/handle/10150/624439
http://arizona.openrepository.com/arizona/handle/10150/624439
Autor:
Mazon, Jeremy J., Castro, Christopher L., Adams, David K., Chang, Hsin-I, Carrillo, Carlos M., Brost, John J.
Almost one-half of the annual precipitation in the southwestern United States occurs during the North American monsoon (NAM). Given favorable synoptic-scale conditions, organized monsoon thunderstorms may affect relatively large geographic areas. Thr
Externí odkaz:
http://hdl.handle.net/10150/622579
http://arizona.openrepository.com/arizona/handle/10150/622579
http://arizona.openrepository.com/arizona/handle/10150/622579
Autor:
Chang, Hsin-Ho1 (AUTHOR), Wu, Shi-Bei2 (AUTHOR), Tsai, Chieh-Chih1,3 (AUTHOR) cctsai@vghtpe.gov.tw
Publikováno v:
Cells (2073-4409). Sep2024, Vol. 13 Issue 17, p1493. 14p.
Autor:
Chen, Lichin, Chuang, Lee-Ming, Chang, Chia-Hsiun, Wang, Chiou-Shiang, Wang, I-Ching, Chung, Yufang, Peng, Hui-Yu, Chen, Hui-Chuen, Hsu, Yu-Ling, Lin, Yu-Sheng, Chen, Huang-Jen, Chang, Tieng-Chun, Jiang, Yi-Der, Lee, Hung-Chang, Tan, Ching-Ting, Chang, Hsin-Lu, Lai, Feipei
Publikováno v:
Journal of Medical Internet Research, Vol 15, Iss 12, p e266 (2013)
BackgroundSelf-management is an important skill for patients with diabetes, and it involves frequent monitoring of glucose levels and behavior modification. Techniques to enhance the behavior changes of diabetic patients have been developed, such as
Externí odkaz:
https://doaj.org/article/c91e9ed847574e88a6cd507533bbbe5c