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While considerable progress has been made in fabric modelling techniques, which could be used in garment computer aided design (CAD) systems, less attention has been paid to the way in which garments might be specified in a CAD system.
One way for planners and scientists to advance is to create scale appropriate modelling techniques, which can call upon a range of model types [including complex physically-based, quasi-physical, semi-distributed models and lumped Minimum Information Requirement (MIR) models].
Magnitudes of runoff and soil loss or sedimentation rates in those environments are better not assessed by conventional modelling techniques, which tend to average out event magnitude and recurrence variability in time and space.
As a possible solution to the analysis of such problems, it is proposed to use stochastic compartment modelling techniques which deal with the problems of estimating the transition probabilities of a partially observed stochastic process.
Also, we specifically utilized those modelling techniques, which would facilitate long-term patient-level prognosis prediction.
A single sensor can provide the distance to a calling animal using propagation modelling techniques which range from single-sensor multipath arrivals (McDonald & Fox, 1999; Aubauer, Lammers & Au, 2000) to normal mode dispersion of whale calls (Munger, Wiggins & Hildebrand, 2011).
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The group develops and uses large-scale, massively parallelized modeling techniques, which include differential multi-scale simulation methods that allow description of material behavior across scales ranging from the atomistic to the continuum engineering scale.
Unlike previous PDE based surface modeling techniques which construct surfaces just from boundaries, our proposed method can be used to generate smooth and fair surfaces that even follow a specified normal field.
It describes the modeling techniques, which quantify the accumulation of damage over time in terms of the important structural features of the composite material, constituent properties, stress-state, temperature, and environment.
"Neural networks are advanced modeling techniques, which are capable of modeling complex functions.
Currently, there are various syntax service modeling techniques such as Web Service Description Language (WSDL), Resource Specification Language, Resource Description Framework (RDF), etc. Besides, there are also semantic service modeling techniques which include the RDFS (RDF Schema) [26], Web Ontology Language (OWL /OWL-S [29], WSDL [27, 28], etc.
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