activity
20152023
most citedDeriving environmental contours from highest density regions

90 citations · 167 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 4 cited

Enhancing Pipeline-Based Conversational Agents with Large Language Models

Mina Foosherian, Hendrik Purwins, Purna Rathnayake +3

The latest advancements in AI and deep learning have led to a breakthrough in large language model (LLM)-based agents such as GPT-4. However, many commercial conversational agent d…

stat.AP2019★ 56 cited

Predicting wave heights for marine design by prioritizing extreme events in a global model

Andreas F. Haselsteiner, Klaus-Dieter Thoben

In the design process of marine structures like offshore wind turbines the long-term distribution of significant wave height needs to be modelled to estimate loads. This is typical…

stat.ME2017★ 11 cited

Environmental contours based on kernel density estimation

Andreas F. Haselsteiner, Jan-Hendrik Ohlendorf, Klaus-Dieter Thoben

An offshore wind turbine needs to withstand the environmental loads, which can be expected during its life time. Consequently, designers must define loads based on extreme environm…

stat.ME2017★ 90 cited

Deriving environmental contours from highest density regions

Andreas F. Haselsteiner, Jan-Hendrik Ohlendorf, Werner Wosniok +1

Environmental contours are an established method in probabilistic engineering design, especially in ocean engineering. The contours help engineers to select the environmental state…

cs.DB2015★ 6 cited

Experimental Research Data Quality In Materials Science

Thorsten Wuest, Rainer Tinscher, Robert Porzel +1

In materials sciences, a large amount of research data is generated through a broad spectrum of different experiments. As of today, experimental research data including meta-data i…