Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Jr-Shin Li"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Machine learning-aided medical decision making presents three major challenges: achieving model parsimony, ensuring credible predictions, and providing real-time recommendations with high computational efficiency. In this paper, we formulate
Externí odkaz:
https://doaj.org/article/51ebd06be49f4388add167ff6b450474
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Dynamical systems pervasively seen in most real-life applications are complex and behave by following certain evolution rules or dynamical patterns, which are linear, non-linear, or stochastic. The underlying dynamics (or evolution rule) of
Externí odkaz:
https://doaj.org/article/a4f04c8a36de4d99b68dcb6bd0285ebe
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-5 (2017)
Coherent control of two-level systems is crucial for achieving fidelity in spectroscopy and quantum computing, but inherent nonlinearities and parameter variation have, to date, required an approximate, numerical approach. Here, Li et al. show how to
Externí odkaz:
https://doaj.org/article/0677ac6eead24ad49a65274efe26392b
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-7 (2016)
Organizing and manipulating dynamic processes is important to understand and influence many natural phenomena. Here, the authors present a method to design entrainment signals that create stable phase patterns in heterogeneous nonlinear oscillators,
Externí odkaz:
https://doaj.org/article/87c14d35270e4ee2afaa5a1072224372
Publikováno v:
New Journal of Physics, Vol 18, Iss 4, p 043014 (2016)
We engineer the fast rotation of an effectively one-dimensional ion trap for a predetermined rotation angle and time, avoiding the final excitation of the trapped ion. Different schemes are proposed with different speed limits that depend on the cont
Externí odkaz:
https://doaj.org/article/26fd2c5609a343c3b44f310f2146446f
Publikováno v:
Data Mining and Knowledge Discovery. 37:710-735
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Autor:
Sheng-Kwei Song, Albert H. Kim, Sonika Dahiya, Jr-Shin Li, Jian L. Campian, Michael Wallendorf, Diane D. Mao, Sam E. Gary, Ruimeng Yang, Chunyu Song, Rowland H. Han, Liang Wang, Anthony T. Wu, Peng Sun, Qingsong Yang, Joshua Lin, Xiran Liu, Richard L. Price, Zezhong Ye
Supplementary methods, figures and tables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a33c9c04cd2b7dc9d55bcc6da2f7c324
https://doi.org/10.1158/1078-0432.22476903
https://doi.org/10.1158/1078-0432.22476903
Autor:
Sheng-Kwei Song, Albert H. Kim, Sonika Dahiya, Jr-Shin Li, Jian L. Campian, Michael Wallendorf, Diane D. Mao, Sam E. Gary, Ruimeng Yang, Chunyu Song, Rowland H. Han, Liang Wang, Anthony T. Wu, Peng Sun, Qingsong Yang, Joshua Lin, Xiran Liu, Richard L. Price, Zezhong Ye
Purpose:Glioblastoma (GBM) is one of the deadliest cancers with no cure. While conventional MRI has been widely adopted to examine GBM clinically, accurate neuroimaging assessment of tumor histopathology for improved diagnosis, surgical planning, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d8a443832f316bdfb2a34f1e5fa3371
https://doi.org/10.1158/1078-0432.c.6529518
https://doi.org/10.1158/1078-0432.c.6529518
Publikováno v:
Annual Reviews in Control. 54:305-313