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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…
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Keywords:
electric arc;
mathematical process;
process models;
arc furnace ... See more keywords
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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…
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Keywords:
process models;
stochastic process;
bayes optimal;
designs stochastic ... See more keywords
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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,…
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Keywords:
process models;
business process;
process;
business ... See more keywords
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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…
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Keywords:
extending ladm;
support workflows;
process;
workflows process ... See more keywords
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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…
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Keywords:
process models;
process;
dual process;
risky decision ... See more keywords
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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.…
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Keywords:
point process;
log gaussian;
process models;
cox process ... See more keywords
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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.…
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Keywords:
process models;
smith;
judgment;
models moral ... See more keywords
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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…
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Keywords:
collection;
process;
model matching;
process models ... See more keywords
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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…
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Keywords:
investigation;
investigation process;
review mobile;
process models ... See more keywords
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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,…
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Keywords:
bpmn process;
data flow;
process models;
model ... See more keywords
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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…
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Keywords:
methodology;
cognitive process;
validating refining;
process models ... See more keywords