Enzyme-powered micro-and nano-motors: key parameters for an application-oriented design

X Arqué, T Patiño, S Sánchez - Chemical Science, 2022 - pubs.rsc.org
Nature has inspired the creation of artificial micro-and nanomotors that self-propel
converting chemical energy into mechanical action. These tiny machines have appeared as …

Microfluidics for microswimmers: engineering novel swimmers and constructing swimming lanes on the microscale, a tutorial review

P Sharan, A Nsamela, SC Lesher‐Pérez, J Simmchen - Small, 2021 - Wiley Online Library
This paper provides an updated review of recent advances in microfluidics applied to
artificial and biohybrid microswimmers. Sharing the common regime of low Reynolds …

Real-time scheduling of cloud manufacturing services based on dynamic data-driven simulation

L Zhou, L Zhang, L Ren, J Wang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In service-oriented manufacturing modes, service scheduling is important for providing just-
in-time delivery of manufacturing services to customers. In this paper, the mathematical …

Crowd management through optimal layout of fences: An ant colony approach based on crowd simulation

XC Liao, WN Chen, XQ Guo, J Zhong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The increasing population density in public places necessitates urgent attention to address
safety concerns via effective crowd management. In many congested scenarios such as …

Data-driven crowd modeling techniques: A survey

J Zhong, D Li, Z Huang, C Lu, W Cai - ACM Transactions on Modeling …, 2022 - dl.acm.org
Data-driven crowd modeling has now become a popular and effective approach for
generating realistic crowd simulation and has been applied to a range of applications, such …

Deriving simulation models from data: steps of simulation studies revisited

S Lazarova-Molnar, X Li - 2019 Winter Simulation Conference …, 2019 - ieeexplore.ieee.org
Simulation is typically a result of a tremendous amount of work performed by experts in
various fields, usually in computer science, mathematics and the corresponding application …

Dimensionally aware multi-objective genetic programming for automatic crowd behavior modeling

D Li, J Zhong - ACM Transactions on Modeling and Computer …, 2020 - dl.acm.org
One limitation of current data-driven automatic crowd modeling methods is that the models
generated have low interpretability, which limits the practical applications of the models. In …

Coupling an agent-based model and an ensemble Kalman filter for real-time crowd modelling

K Suchak, M Kieu, Y Oswald… - Royal Society Open …, 2024 - royalsocietypublishing.org
Agent-based modelling has emerged as a powerful tool for modelling systems that are
driven by discrete, heterogeneous individuals and has proven particularly popular in the …

Data-driven agent-based modeling: Experimenting with the schelling's model

R Jamali, W Vermeiren, S Lazarova-Molnar - Procedia Computer Science, 2024 - Elsevier
Agent-based modeling and simulation is a practical computational technique for studying
complex systems of autonomous agents in various disciplines. Agent-based models …

Data driven analysis of the desired speed in ordinary differential equation based pedestrian simulation models

L Ma, B Chen, L Chen, X Xu, S Liu, X Liu - Physica A: Statistical Mechanics …, 2022 - Elsevier
In this paper, the desired speed is figured out as an important parameter for ordinary
differential equation (ODE) based pedestrian simulation models. However, there lacks a …