Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Shih Feng, Huang"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract This paper proposes a KC Score to measure feature importance in clustering analysis of high-dimensional data. The KC Score evaluates the contribution of features based on the correlation between the original features and the reconstructed fe
Externí odkaz:
https://doaj.org/article/edf9df6e51ab472787ccc4ef105b38d6
Publikováno v:
Surgical Case Reports, Vol 7, Iss 1, Pp 1-5 (2021)
Abstract Background Foreign body granuloma is a rare surgery-related complication that can masquerade as cancer recurrence during postoperative surveillance. It may therefore deceive clinicians and lead to unnecessary interventions. The case presente
Externí odkaz:
https://doaj.org/article/c0d73cc4d87f4e4fb48c69a380a17d33
Autor:
Tomoko Fujii, Andrew A. Udy, Alistair Nichol, Rinaldo Bellomo, Adam M. Deane, Khaled El-Khawas, Naorungroj Thummaporn, Ary Serpa Neto, Hannah Bergin, Robert Short-Burchell, Chin-Ming Chen, Kuang-Hua Cheng, Kuo-Chen Cheng, Clemente Chia, Feng-Fan Chiang, Nai-Kuan Chou, Timothy Fazio, Pin-Kuei Fu, Victor Ge, Yoshiro Hayashi, Jennifer Holmes, Ting-Yu Hu, Shih-Feng Huang, Naoya Iguchi, Sarah L. Jones, Toshiyuki Karumai, Shinshu Katayama, Shih-Chi Ku, Chao-Lun Lai, Bor-Jen Lee, Wen-Jinn Liaw, Chelsea T. W. Ong, Lisa Paxton, Chloe Peppin, Owen Roodenburg, Shinjiro Saito, John D. Santamaria, Yahya Shehabi, Aiko Tanaka, Ravindranath Tiruvoipati, Hsiao-En Tsai, An-Yi Wang, Chen-Yu Wang, Yu-Chang Yeh, Chong-Jen Yu, Kuo-Ching Yuan, for the SODA-BIC investigators
Publikováno v:
Critical Care, Vol 25, Iss 1, Pp 1-10 (2021)
Abstract Background Metabolic acidosis is a major complication of critical illness. However, its current epidemiology and its treatment with sodium bicarbonate given to correct metabolic acidosis in the ICU are poorly understood. Method This was an i
Externí odkaz:
https://doaj.org/article/765cf3f522cd4cb1ab1fad100e3c3231
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0255422 (2021)
In this study, a network autoregressive model with GARCH effects, denoted by NAR-GARCH, is proposed to depict the return dynamics of stock market indices. A GARCH filter is employed to marginally remove the GARCH effects of each index, and the NAR mo
Externí odkaz:
https://doaj.org/article/6194f0a76dc647c4bb7773293a3f3553
Publikováno v:
Sensors, Vol 22, Iss 12, p 4510 (2022)
The plank is a common core-stability exercise. Developing a wearable inertial sensor system for distinguishing between acceptable and aberrant plank techniques and detecting specific deviations from acceptable plank techniques can enhance performance
Externí odkaz:
https://doaj.org/article/df906588d726400986d9e1938de832ec
Autor:
Shih-Feng Huang, Hsiang-Ling Hsu
Publikováno v:
Revstat Statistical Journal, Vol 18, Iss 1 (2020)
This study considers prediction intervals for time series and applies the results to portfolio selection. The dynamics of the high and low underlying returns are depicted by time series models, which lead to a prediction interval of future returns. W
Externí odkaz:
https://doaj.org/article/e96f0a2e444642719cce61ffdbfa9f9c
Machine Learning for Inter-Turn Short-Circuit Fault Diagnosis in Permanent Magnet Synchronous Motors
Publikováno v:
IEEE Transactions on Magnetics. 58:1-7
Publikováno v:
Sensors, Vol 20, Iss 20, p 5879 (2020)
This study proposes a shape approximation approach to portray the regions of interest (ROI) from medical imaging data. An effective algorithm to achieve an optimal approximation is proposed based on the framework of Particle Swarm Optimization. The c
Externí odkaz:
https://doaj.org/article/aaadbd664ef7422a81b4eda0d7eb1fe2
Publikováno v:
Journal of Data Science. 10:345-362
Publikováno v:
Journal of Data Science. 10:87-105