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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 …
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 …
foundations for demography and migration studies. It offers a unique and novel methodology …
Automatic reuse, adaption, and execution of simulation experiments via provenance patterns
Simulation experiments are typically conducted repeatedly during the model development
process, for example, to revalidate if a behavioral property still holds after several model …
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
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 …
of hugely complex social systems. Understanding migration and its consequences therefore …
A language for agent-based discrete-event modeling and simulation of linked lives
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 …
need to cover the agents' dynamics in continuous time, commonly used agent-based …
Open science, replicability, and transparency in modelling
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 …
variety of other empirical fields in response to the discovery (or rediscovery) of the …
A fast embedded language for continuous-time agent-based simulation
In agent-based simulation methods and applications, discrete timestep approaches prevail.
To support continuous-time agent-based simulation, we analyze how methods for simulating …
To support continuous-time agent-based simulation, we analyze how methods for simulating …
Modelling migration: Decisions, processes and outcomes
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 …
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
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 …
hypotheses about the system's mechanisms that are integrated by intertwined processes of …
Inferring dependency graphs for agent-based models using aspect-oriented programming
Population-based CTMC models can generally be executed efficiently with stochastic
simulation algorithms (SSAs). However, the heterogeneity in agent-based models poses a …
simulation algorithms (SSAs). However, the heterogeneity in agent-based models poses a …