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Titlebook: Advanced Computing Strategies for Engineering; 25th EG-ICE Internat Ian F. C. Smith,Bernd Domer Conference proceedings 2018 Springer Intern

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Paula Kalaja,Ana Maria Ferreira Barcelos An integral part of structural life-cycle management is the operation and maintenance phase of structures, which is frequently associated with structural health monitoring (SHM). SHM has emerged as a novel methodology enabling the assessment of structural conditions by extracting information from s
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Paula Kalaja,Ana Maria Ferreira Barcelos techniques are applied for automated interpretation of CCTV images to identify pipe defects. However, conventional computer vision techniques require complex handcrafted feature extraction and large amount of image pre-processing. In this study, a deep learning based approach is developed for sewer
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Natural Selection and Progress, satisfying more than 80% of occupants (i.e., acceptable condition). The predicted percentage of dissatisfied model proposes this value with the assumption that a neutral state is desired. However, recent studies cast light on personalized thermal comfort which demonstrates that occupants have diver
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Experimentation in the social sciencesance over its life-cycle. To support such optimization efforts a number of computational modeling methods are required: ontological modeling, stochastic modeling, and process simulation modeling. Despite this need, the field of systems engineering has mainly focused on the development and discussion
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Experimentation in the social sciencesle buildings are often designed with Building Information Modeling (BIM) software. Despite some differences on technology and standards, GIS and BIM deal with geometrical data and attributes. Possible links between GIS and BIM using the City Geographic Markup Language (CityGML) and the Industry Foun
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