Articles with "process models" as a keyword



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A Review of Mathematical Process Models for the Electric Arc Furnace Process

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Published in 2020 at "steel research international"

DOI: 10.1002/srin.202000395

Abstract: The electric arc furnace is the main process unit in scrap‐based steelmaking. Owing to its importance, numerous mathematical models for predicting the course of the electric arc furnace process have been developed. This article reviews… read more here.

Keywords: electric arc; mathematical process; process models; arc furnace ... See more keywords
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Efficient construction of Bayes optimal designs for stochastic process models

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Published in 2019 at "Statistics and Computing"

DOI: 10.1007/s11222-018-9833-3

Abstract: Stochastic process models are now commonly used to analyse complex biological, ecological and industrial systems. Increasingly there is a need to deliver accurate estimates of model parameters and assess model fit by optimizing the timing… read more here.

Keywords: process models; stochastic process; bayes optimal; designs stochastic ... See more keywords
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Refactoring business process models with process fragments substitution

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Published in 2020 at "Wireless Networks"

DOI: 10.1007/s11276-020-02367-3

Abstract: Since business processes are important assets of enterprises, thousands of business processes are modeled. After modeling business process models, a problem arises here is how to improve the efficiency of these models? In this paper,… read more here.

Keywords: process models; business process; process; business ... See more keywords
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Extending LADM to support workflows and process models

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Published in 2021 at "Land Use Policy"

DOI: 10.1016/j.landusepol.2021.105358

Abstract: Abstract In order to be able to guarantee the overall correctness of data, updating of Land administration system’s data must be executed following a formally and technically clearly defined and controllable procedure (process). In general… read more here.

Keywords: extending ladm; support workflows; process; workflows process ... See more keywords
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A dynamic dual process model of risky decision making.

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Published in 2018 at "Psychological review"

DOI: 10.1037/rev0000087

Abstract: Many phenomena in judgment and decision making are often attributed to the interaction of 2 systems of reasoning. Although these so-called dual process theories can explain many types of behavior, they are rarely formalized as… read more here.

Keywords: process models; process; dual process; risky decision ... See more keywords
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The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models

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Published in 2022 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2021.2023116

Abstract: Spatial point process models are theoretically useful for mapping discrete events, such as plant or animal presence, across space; however, the computational complexity of fitting these models is often a barrier to their practical use.… read more here.

Keywords: point process; log gaussian; process models; cox process ... See more keywords
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Smith’s practicality requirement meets dual-process models of moral judgment

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Published in 2017 at "Philosophical Psychology"

DOI: 10.1080/09515089.2017.1333093

Abstract: Abstract In The Moral Problem, Michael Smith argues that only motivational internalists can offer an adequate explanation of why changes in moral judgment tend to be accompanied by changes in motivation in morally virtuous people.… read more here.

Keywords: process models; smith; judgment; models moral ... See more keywords
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A Process Model Collection and Gold Standard Correspondences for Process Model Matching

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2900174

Abstract: Business process models are the conceptual models to depict the workflow of an organization. Process model matching (PMM) refers to the automatic identification of corresponding activities between a pair of process models that show similar… read more here.

Keywords: collection; process; model matching; process models ... See more keywords
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A Review of Mobile Forensic Investigation Process Models

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3014615

Abstract: Mobile Forensics (MF) field uses prescribed scientific approaches with a focus on recovering Potential Digital Evidence (PDE) from mobile devices leveraging forensic techniques. Consequently, increased proliferation, mobile-based services, and the need for new requirements have… read more here.

Keywords: investigation; investigation process; review mobile; process models ... See more keywords
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A Colored Petri Net Executable Modeling Approach for a Data Flow Well-Structured BPMN Process Model

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3198969

Abstract: BPMN process models have been widely used in software designs. The BPMN process models are characterized by a static graph-oriented modeling language and a lack of analytical capabilities as well as dynamic behavior verification capabilities,… read more here.

Keywords: bpmn process; data flow; process models; model ... See more keywords
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Validating and Refining Cognitive Process Models Using Probabilistic Graphical Models

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Published in 2022 at "Topics in cognitive science"

DOI: 10.1111/tops.12616

Abstract: We describe a new approach for developing and validating cognitive process models. In our methodology, graphical models (specifically, hidden Markov models) are developed both from human empirical data on a task and synthetic data traces… read more here.

Keywords: methodology; cognitive process; validating refining; process models ... See more keywords