123 citations · 149 across the 10 of their papers we have counts for
10 papers
Quantum computing in civil engineering: Potentials and Limitations
Joern Ploennigs, Markus Berger, Martin Mevissen +1
Quantum computing is a new computational paradigm with the potential to solve certain computationally challenging problems much faster than traditional approaches. Civil engineerin…
Generative AI and the History of Architecture
Joern Ploennigs, Markus Berger
Recent generative AI platforms are able to create texts or impressive images from simple text prompts. This makes them powerful tools for summarizing knowledge about architectural…
ArchiGuesser -- AI Art Architecture Educational Game
Joern Ploennigs, Markus Berger, Eva Carnein
The use of generative AI in education is a controversial topic. Current technology offers the potential to create educational content from text, speech, to images based on simple i…
Automating Computational Design with Generative AI
Joern Ploennigs, Markus Berger
AI image generators based on diffusion models have recently garnered attention for their capability to create images from simple text prompts. However, for practical use in civil e…
What Makes a Good Dataset for Symbol Description Reading?
Karol Lynch, Joern Ploennigs, Bradley Eck
The usage of mathematical formulas as concise representations of a document's key ideas is common practice. Correctly interpreting these formulas, by identifying mathematical symbo…
Causal Temporal Graph Convolutional Neural Networks (CTGCN)
Abigail Langbridge, Fearghal O'Donncha, Amadou Ba +3
Many large-scale applications can be elegantly represented using graph structures. Their scalability, however, is often limited by the domain knowledge required to apply them. To a…
AI Art in Architecture
Joern Ploennigs, Markus Berger
Recent diffusion-based AI art platforms are able to create impressive images from simple text descriptions. This makes them powerful tools for concept design in any discipline that…
Scaling Knowledge Graphs for Automating AI of Digital Twins
Joern Ploennigs, Konstantinos Semertzidis, Fabio Lorenzi +1
Digital Twins are digital representations of systems in the Internet of Things (IoT) that are often based on AI models that are trained on data from those systems. Semantic models…
Optimal Seat Allocation Under Social Distancing Constraints
Michael Barry, Claudio Gambella, Fabio Lorenzi +2
The Covid-19 pandemic introduces new challenges and constraints for return to work business planning. We describe a space allocation problem that incorporates social distancing con…
TSML (Time Series Machine Learnng)
Paulito Palmes, Joern Ploennigs, Niall Brady
Over the past years, the industrial sector has seen many innovations brought about by automation. Inherent in this automation is the installation of sensor networks for status moni…