Ergebnisse für: reference models
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This research study deals with a structuring approach to Digital Twins in industrial sys-tems. A Digital Twin is a virtual replica of a physical counterpart that allows the manage-ment, simulation, optimization, and automation of the underlying real-world processes. The concept enjoys great populari...
This book is a practical guide on how to design, create and validate a spatial microsimulation model. These models are becoming more popular as academics and policy makers recognise the value of place in research and policy making. Recent spatial microsimulation models have been used to analyse heal...
Our knowledge of reproductive biology has increased enormously in recent years on cellular, molecular, and genetic levels, leading to significant breakthroughs that have directly benefitted in vitro fertilization (IVF) and other assisted reproductive technologies (ART) in humans and animal systems.
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Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resou...
Hardly any construction project goes totally as planned, as relatively high uncertainty exists in the planning phase of a construction project. Consequently, management plans often have to be changed to suit the new project conditions....
Reusability of information models has been discussed in science and practice for many years. Reference models are information models that are developed with the aim of being reused for different but similar application scenarios. They primarily promise time and cost savings, since parts of the refer...
Reusability of information models has been discussed in science and practice for many years. Reference models are information models that are developed with the aim of being reused for different but similar application scenarios. They primarily promise time and cost savings, since parts of the refer...
Provides an easy-to-understand guide to statistical linear models and its uses in data analysis
This book defines a broad spectrum of statistical linear models that is useful in the analysis of data. Considerable rewriting was done to make the book more reader friendly than the first edition. Linear...
Provides an easy-to-understand guide to statistical linear models and its uses in data analysis
This book defines a broad spectrum of statistical linear models that is useful in the analysis of data. Considerable rewriting was done to make the book more reader friendly than the first edition. Linear...
Traditionally, research on model-driven engineering (MDE) has mainly focused on the use of models at the design, implementation, and verification stages of development. This work has produced relatively mature techniques and tools that are currently being used in industry and academia. However, soft...
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