Sign Up to like & get
recommendations!
0
Published in 2021 at "Mathematical Geosciences"
DOI: 10.1007/s11004-021-09922-4
Abstract: Fluid flow simulations are commonly used to predict the fluid displacement in subsurface reservoirs; however, model validation is challenging due to the lack of direct measurements. Geophysical data can be used to monitor the displacement…
read more here.
Keywords:
state;
updating binary;
binary state;
ensemble updating ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "Chinese Journal of Physics"
DOI: 10.1016/j.cjph.2020.06.009
Abstract: Abstract Complex networks with binary-state dynamics represent many meaningful behaviors in a variety of contexts. Reconstruction of networked systems hosting delayed binary processes with hidden nodes becomes an outstanding challenge in this field. To address…
read more here.
Keywords:
binary state;
time delay;
time;
hidden nodes ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.107.024101
Abstract: We study the non-Markovian effects associated with aging for binary-state dynamics in complex networks. Aging is considered as the property of the agents to be less prone to change their state the longer they have…
read more here.
Keywords:
state;
binary state;
threshold model;
model ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2017 at "Physical Review E"
DOI: 10.1103/physreve.95.032303
Abstract: To understand, predict, and control complex networked systems, a prerequisite is to reconstruct the network structure from observable data. Despite recent progress in network reconstruction, binary-state dynamics that are ubiquitous in nature, technology, and society…
read more here.
Keywords:
networks binary;
state dynamics;
binary state;
reconstructing complex ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0263939
Abstract: Reconstruction of network is to infer the relationship among nodes using observation data, which is helpful to reveal properties and functions of complex systems. In view of the low reconstruction accuracy based on small data…
read more here.
Keywords:
state;
binary state;
state multi;
multi state ... See more keywords