Using knowledge graphs and deep learning algorithms to enhance digital cultural heritage management

Cultural heritage management poses significant challenges for museums due to fragmented data, limited intelligent frameworks, and insufficient applications. In response, a digital cultural heritage management approach based on knowledge graphs and deep learning algorithms is proposed to address the above challenges. A joint entity-relation...

Reliability assessment for corroded pipelines in series considering length-scale effects

This paper presents a method for assessing the reliability of a corroded pipeline placed in series, with special consideration given to the effect of the length scale imposed by each segment of the pipe. The features of corrosion in different pipe segments are statistically correlated; thus, a failure in one section may impact the adjacent...

Crowding Valuation in Urban Tram and Bus Transportation based on Smart Card Data

Crowding in public transport can be of major influence on passengers’ travel experience and therefore affect route and mode choice. Therefore, it is important to understand how crowding in urban public transport is perceived by passengers. The availability of individual smart card transactions allows us to gain insights in revealed trade-offs...

Multi-scalar agent-based complex design systems - the case of CECO (Climatic -Ecologies) Studio; informed generative design systems and performance-driven design workflows

This paper illustrates the application of different types of complex systems for digital form finding and design decision making with underlying methodological and pedagogical aims to emphasize performance-driven design solutions via combining generative methods of complex systems with simulation techniques. The design research examples...