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Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View
Model building in the social sciences can increasingly rely on well elaborated formal theories. At the same time inexpensive large computational capacities are now available. …
Multiscale Modeling and Uncertainty Quantification of Materials and Structures
This book contains the proceedings of the IUTAM Symposium on Multiscale Modeling and Uncertainty Quantification of Materials and Structures that was held at Santorini, Greece, …
PV power output modelling under outdoor conditions
Modeling Forest Landscape Dynamics
The landscape is a mosaic of ecosystem elements, which changes in size, shape, spatial arrangement, and quality of the patches/elements due to complex, multi-scalar processes which …
On the Economic Modeling of Corruption
Enterprise, Business-Process and Information Systems Modeling
This book contains the refereed proceedings of the 12th International Conference on Business Process Modeling, Development and Support (BPMDS 2011) and the 16th International …
Performance simulation of modular product architectures by model-based configuration
By recursively configuring multiple customer requests using alternative modular kits, an individual performance criterion of these alternatives can be generated, including …
Hands-On Implementation of NLP Models
"Hands-On Implementation of NLP Models" is a comprehensive guide designed to bridge the gap between theoretical concepts and practical applications in Natural Language Processing …
Web Page Recommendation Models
One of the application areas of data mining is the World Wide Web (WWW or Web), which serves as a huge, widely distributed, global information service for every kind of information …
Building Information Modeling for Renovation and Refurbishment
Building Information Modeling or BIM has been widely applied to new construction projects, but is less used to used to support renovation activities. Building Information Modeling …
Statistical Modeling With R
To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically choose the …
Mathematical Modeling in Science and Engineering
A powerful, unified approach to mathematical and computational modeling in science and engineering Mathematical and computational modeling makes it possible to predict the …