Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Siew Ann Cheong"'
Autor:
Peter Tsung-Wen Yen, Siew Ann Cheong
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Introduction: In recent years, we witnessed increasing numbers of migrants worldwide owing to famine, poverty, regional conflicts, etc. Efforts by the United Nations and various organizations to help these migrants are hampered by rising anti-migrant
Externí odkaz:
https://doaj.org/article/e8484809add54d0ea98f3f73b2d1af14
Autor:
Anirban Chakraborti, Damien Challet, Siew Ann Cheong, Takayuki Mizuno, Gabjin Oh, Wei-Xing Zhou
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Externí odkaz:
https://doaj.org/article/817e6a7240d142c396f8c9193a6dcc5e
Publikováno v:
Entropy, Vol 25, Iss 6, p 846 (2023)
An important challenge in the study of complex systems is to identify appropriate effective variables at different times. In this paper, we explain why structures that are persistent with respect to changes in length and time scales are proper effect
Externí odkaz:
https://doaj.org/article/fdac2815581c41c7b3dab1405d22c2f4
Autor:
Siew Ann Cheong, Yann Wei Lee, Ying Ying Li, Jia Qing Lim, Jiok Duan Jadie Tan, Xin Ping Joan Teo
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 7 (2021)
Financial markets are complex systems where information processing occurs at multiple levels. One signature of this information processing is the existence of recurrent sequences. In this paper, we developed a procedure for finding these sequences an
Externí odkaz:
https://doaj.org/article/5be3aed91a15466190e07872fe01bf27
Autor:
Peter Tsung-Wen Yen, Siew Ann Cheong
Publikováno v:
Frontiers in Physics, Vol 9 (2021)
In recent years, persistent homology (PH) and topological data analysis (TDA) have gained increasing attention in the fields of shape recognition, image analysis, data analysis, machine learning, computer vision, computational biology, brain function
Externí odkaz:
https://doaj.org/article/c4390a85eadb4d48bfde18073da56be1
Publikováno v:
Reports in Advances of Physical Sciences, Vol 4, Iss 2, Pp 2050005-1-2050005-31 (2020)
In this work, we proposed a theoretical framework inspired by physical thermodynamics to explain the housing price distributions in monocentric cities. In the same spirit as the Alonso–Muth–Mills (AMM) model, we assume that the disposable income
Externí odkaz:
https://doaj.org/article/8649fab712ec458ab4bc60f34679f913
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0230325 (2020)
Is it possible to tell how interdisciplinary and out-of-the-box scientific papers are, or which papers are mainstream? Here we use the bibliographic coupling network, derived from all physics papers that were published in the Physical Review journals
Externí odkaz:
https://doaj.org/article/5d29937a320948f48ad815e7830ea17c
Publikováno v:
Entropy, Vol 23, Iss 9, p 1211 (2021)
In econophysics, the achievements of information filtering methods over the past 20 years, such as the minimal spanning tree (MST) by Mantegna and the planar maximally filtered graph (PMFG) by Tumminello et al., should be celebrated. Here, we show ho
Externí odkaz:
https://doaj.org/article/61fde87c54a240dcb3e0ab0179f91284
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0191439 (2018)
There is growing interest in the use of critical slowing down and critical fluctuations as early warning signals for critical transitions in different complex systems. However, while some studies found them effective, others found the opposite. In th
Externí odkaz:
https://doaj.org/article/8db6603e814c4b8389831ce5635d07c9
Publikováno v:
PLoS ONE, Vol 13, Iss 9, p e0203025 (2018)
Human language contains regular syntactic structures and grammatical patterns that should be detectable in their co-occurence networks. However, most standard complex network measures can hardly differentiate between co-occurence networks built from
Externí odkaz:
https://doaj.org/article/ee1f1f01a7bc48489ffa145ee543d611