Prediction model of natural gas pipeline crack evolution based on optimized DCNN-LSTM

B Wang, Y Guo, D Wang, Y Zhang, R He… - Mechanical Systems and …, 2022 - Elsevier
Pipelines are one of the most important tools for natural gas transportation. To avoid
accidents caused by local cracks in the pipeline, it is necessary to develop a model that can …

[КНИГА][B] Towards Bayesian model-based demography: Agency, complexity and uncertainty in migration studies

J Bijak - 2022 - library.oapen.org
This open access book presents a ground-breaking approach to develo** micro-
foundations for demography and migration studies. It offers a unique and novel methodology …

Automatic reuse, adaption, and execution of simulation experiments via provenance patterns

P Wilsdorf, A Wolpers, J Hilton, F Haack… - ACM Transactions on …, 2023 - dl.acm.org
Simulation experiments are typically conducted repeatedly during the model development
process, for example, to revalidate if a behavioral property still holds after several model …

Principles and state of the art of agent-based migration modelling

J Bijak, M Hinsch, J Bijak - … Agency, complexity and uncertainty in migration …, 2022 - Springer
Migration as an individual behaviour as well as a macro-level phenomenon happens as part
of hugely complex social systems. Understanding migration and its consequences therefore …

A language for agent-based discrete-event modeling and simulation of linked lives

O Reinhardt, T Warnke, AM Uhrmacher - ACM Transactions on …, 2022 - dl.acm.org
In agent-based modeling and simulation, discrete-time methods prevail. While there is a
need to cover the agents' dynamics in continuous time, commonly used agent-based …

Open science, replicability, and transparency in modelling

J Bijak, T Prike - Towards Bayesian Model-Based Demography: Agency …, 2022 - Springer
Recent years have seen large changes to research practices within psychology and a
variety of other empirical fields in response to the discovery (or rediscovery) of the …

A fast embedded language for continuous-time agent-based simulation

T Köster, O Reinhardt, M Hinsch, J Bijak… - Journal of Artificial …, 2024 - eprints.soton.ac.uk
In agent-based simulation methods and applications, discrete timestep approaches prevail.
To support continuous-time agent-based simulation, we analyze how methods for simulating …

Modelling migration: Decisions, processes and outcomes

J Bijak, PA Higham, J Hilton, M Hinsch… - 2020 Winter …, 2020 - ieeexplore.ieee.org
Human migration is uncertain and complex, and some of its distinct features, such as
migration routes, can emerge and change very rapidly. Agency of various actors is one key …

Simulation studies of social systems: telling the story based on provenance patterns

P Wilsdorf, O Reinhardt, T Prike… - Royal Society …, 2024 - royalsocietypublishing.org
Social simulation studies are complex. They typically combine various data sources and
hypotheses about the system's mechanisms that are integrated by intertwined processes of …

Inferring dependency graphs for agent-based models using aspect-oriented programming

JN Kreikemeyer, T Köster… - 2021 Winter …, 2021 - ieeexplore.ieee.org
Population-based CTMC models can generally be executed efficiently with stochastic
simulation algorithms (SSAs). However, the heterogeneity in agent-based models poses a …