Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Pei Chi Huang"'
Autor:
Steffen Neumann, Ann-Christin Andres, Felix Bach, Theo Bender, Christian Bonatto Minella, Franziska Eberl, Tillmann Fischer, Benjamin Golub, Shashank Harivyasi, Sonja Herres-Pawlis, Pei-Chi Huang, Johannes Hunold, John Jollife, Nicole Jung, Johannes Liermann, Venkata Nainala, Matthias Razum, Oliver Koepler, Christoph Steinbeck
Publikováno v:
Research Ideas and Outcomes, Vol 10, Iss , Pp 1-33 (2024)
The progress of the DFG-funded NFDI4Chem consortium (NFDI 4/1 - project number 441958208) in data management in chemistry is outlined in our latest report, highlighting the steps we have taken to integrate a data-centric approach within the chemistry
Externí odkaz:
https://doaj.org/article/96d48612b66246c497bd6410272b3a37
Autor:
Kyungki Kim, John Windle, Melissa Christian, Tom Windle, Erica Ryherd, Pei-Chi Huang, Anthony Robinson, Reid Chapman
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9922 (2024)
The development of intelligent medical service robots for patient care presents significant challenges, particularly in integrating diverse knowledge sources and enabling robots to autonomously perform tasks in dynamic and unpredictable healthcare en
Externí odkaz:
https://doaj.org/article/e8c7d5c781884a5b924183db258a3d69
Autor:
Pei‐Chi Huang, Hsuan Cheng, Yu‐Ting Su, Meng‐Chuan Huang, Chih‐Cheng Hsu, Shang‐Jyh Hwang, Shyi‐Jang Shin, Wen‐Tsan Chang
Publikováno v:
Journal of Diabetes Investigation, Vol 14, Iss 2, Pp 297-308 (2023)
Abstract Aims/Introduction Fatty acid desaturase (FADS) genetic polymorphisms are strongly correlated with the risk of dyslipidemia and cardiovascular disease. In this study, we examined the impact of FADS1 and FADS2 genetic variants on plasma lipid
Externí odkaz:
https://doaj.org/article/1c5aa1cd80ab45a9a8ded8be325824d7
Publikováno v:
IEEE Access, Vol 11, Pp 7348-7357 (2023)
During the last decades, many studies have been dedicated to improving the performance of neural networks, for example, the network architectures, initialization, and activation. However, investigating the importance and effects of learnable padding
Externí odkaz:
https://doaj.org/article/adffe49b15974012afa85839fbaae65b
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 4, Iss 4, Pp 1024-1041 (2022)
Scanning electron microscopy (SEM) techniques have been extensively performed to image and study bacterial cells with high-resolution images. Bacterial image segmentation in SEM images is an essential task to distinguish an object of interest and its
Externí odkaz:
https://doaj.org/article/b3ab9bff083f4eafbaad7760db70d6ac
Publikováno v:
IEEE Photonics Journal, Vol 14, Iss 4, Pp 1-4 (2022)
We have developed a guided ptychography iterative engine (gPIE) algorithm that applies the concept of optimization to the conventional ePIE (extended ptychography iterative engine) approach. Instead of accessing a random or spiral trajectory among th
Externí odkaz:
https://doaj.org/article/cbca06d0a70c40b7b149384383507f38
Publikováno v:
Information, Vol 14, Iss 1, p 53 (2023)
Machine learning (ML) techniques discover knowledge from large amounts of data. Modeling in ML is becoming essential to software systems in practice. The accuracy and efficiency of ML models have been focused on ML research communities, while there i
Externí odkaz:
https://doaj.org/article/78aa75cc3e3b4dacab1308347d077ee4
Autor:
Tremouilhac, Pierre1, Pei-Chi Huang1, Chia-Lin Lin1, Yu-Chieh Huang1, Nguyen, An1, Jung, Nicole1,2 nicole.jung@kit.edu, Bach, Felix3, Bräse, Stefan1,2 stefan.braese@kit.edu
Publikováno v:
Chemistry - Methods. Jan2021, Vol. 1 Issue 1, p8-11. 4p.
Publikováno v:
Journal of Management & Organization. :1-18
Drawing on the job demands-resources model and conservation of resources theory, this study investigates how and when the high-performance work systems (HPWS) influence proactive workforce. Using the data obtained from 204 supervisor-employee dyads i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc2d2b9ebb3f2ed6d30fa1d3837d1e88
https://doi.org/10.1017/jmo.2022.78
https://doi.org/10.1017/jmo.2022.78
Publikováno v:
Journal of Dental Sciences, Vol 16, Iss 1, Pp 530-531 (2021)
Externí odkaz:
https://doaj.org/article/4c5b727d92224f3895aad9a8ca74ec36