Results 51 to 60 of about 2,840 (305)
Analysis and synthesis of mechanisms is one of the fundamental tasks of engineering. Mechanisms can suffer from errors due to versatile reasons. Graph-based methods of analysis and synthesis of planetary gears constitute an alternative method for ...
Deptuła Adam +2 more
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Graph Grammar Induction as a Parser-Controlled Heuristic Search Process [PDF]
A graph grammar is a generative description of a graph language (a possibly infinite set of graphs). In this paper, we present a novel algorithm for inducing a graph grammar from a given set of 'positive' and 'negative' graphs.
Fürst, Luka +5 more
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Procedural Content Graphs for Urban Modeling
Massive procedural content creation, for example, for virtual urban environments, is a difficult, yet important challenge. While shape grammars are a popular example of effectiveness in architectural modeling, they have clear limitations regarding ...
Pedro Brandão Silva +3 more
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The notations of (1) KBO: Knowledge Based Object, (2) FTD: Formally Technology Dependent, (3) WW KBO: Window Womb KBO, (4) PL KBO: Programming Language KBO, (5) APM KBO: Abstract Processing Machine KBO, and (6) AIPM KBO: Abstract Information Processing Mechanism KBO, were studied in U¨nlu¨ [1-3]. Let the meaning of an arbitrarily chosen X :=\langle X^o,
openaire +3 more sources
Constructing VEGGIE: Machine Learning for [PDF]
Context-sensitive graph grammar construction tools have been used to develop and study interesting languages. However, the high dimensionality of graph grammars result in costly effort for their construction and maintenance.
Context-sensitive Graph Grammars
core
Euler Graph Transformations for Euler Diagram Layout [PDF]
Euler diagrams are frequently used for visualizing information about collections of objects and form an important component of various visual languages.
Howse, John +7 more
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
TRANSLATING ERLANG STATE MACHINES TO UML USING TRIPLE GRAPH GRAMMARS
In this paper, we present a method that transforms event driven Erlang state machines into high-level state machine models represented in UML. We formalized the transformation system as a triple graph grammar, a special case of graph rewriting. We argue
Dániel LUKÁCS, Melinda TÓTH
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Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source

