Results 281 to 290 of about 4,021,533 (345)

Data-driven p-norms for estimating transmission loss coefficients in power systems. [PDF]

PLoS One
Montoya OD, Gil-González W, Grisales-Noreña LF.   +2 more
europepmc   +1 more source

Theoretical Considerations for Patient-Specific Modeling Based on Observable State Variables. [PDF]

J Biomech Eng
Ateshian GA, Deiters S, Weiss JA.
europepmc   +1 more source

Research on self-adaptive height adjustment control of shearer based on deep deterministic policy gradient. [PDF]

PLoS One
Wang Y, Wang X, Lin G, Zhao L, Liu X, Jia B, Wang Y, He J, Ma L.   +8 more
europepmc   +1 more source

Towards a collaborative working environment to support model-based systems engineering

, 2016
Matthias Merk, Gabriela Tullius, Peter Hertkorn   +2 more
openalex   +1 more source

An Ecological Approach to Evolving Domains Using Model Based Systems Engineering (MBSE).

, 2007
Regina M. Griego
openalex   +1 more source

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Introducing Model-Based System Engineering Transforming System Engineering through Model-Based Systems Engineering

2014
Abstract : In 2013, Naval Air Systems Command (NAVAIR) at the Naval Air Station, Patuxent River, Maryland initiated a research task (RT-48) to assess the technical feasibility of creating/leveraging a more holistic Model-Based Systems Engineering (MBSE) approach to support Mission-based Analysis and Engineering in order to achieve a 25% reduction in ...
Eirik Hole, Gary Witus, Rob Cloutier, Mark Blackburn   +3 more
openaire   +1 more source

Smart Model Based Systems Engineering

SAE Technical Paper Series, 2018
<title>ABSTRACT</title> <p>Model Based Systems Engineering (MBSE) has been a dominant methodology for defining and developing complex systems; however, it has not yet been paired with cutting-edge digital engineering transformation. MBSE is constrained to
Alejandro Ayala, Jonathan Weaver, Jenifer Fuentes, Ruben Ochoa   +3 more
openaire   +1 more source

Model-Based Systems Engineering Uptake in Engineering Practice

IEEE Transactions on Engineering Management, 2020
Modeling is ubiquitous in engineering, but data on model use and user sophistication in engineering-driven firms are remarkably sparse. Some authors have predicted a sea change in engineering workflow through model-based systems engineering. Despite benefits, the prevalence of effective modeling techniques in industry is an open question.
Bruce Cameron, Daniel Mark Adsit
openaire   +1 more source