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Andreas Nugaard Holm, Dustin Wright and Isabelle Augenstein
Uncertainty approximation in text classification is an important area with applications in domain adaptation and interpretability. One of the most widely used uncertainty approximation methods is Monte Carlo (MC) dropout, which is computationally expensi...
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Fabian Helmchen, Sophie F. Armanini and Andreas Hupfer
With increasing capabilities of electric motors and energy storage, aircraft designs for electrified commuter and regional aircraft become more relevant than ever. Design concepts are often derived and optimised according to existing, conventional refere...
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Mitra Kamidelivand, Peter Deeney, Fiona Devoy McAuliffe, Kevin Leyne, Michael Togneri and Jimmy Murphy
This paper has developed an operation and maintenance (O&M) model for projected 20 MW tidal stream farm case studies at two sites in the northeast Atlantic in France and at EMEC?s Fall of Warness site in the UK. The annual energy production, number o...
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Saeid Khaksari Nezhad, Mohammad Barooni, Deniz Velioglu Sogut and Robert J. Weaver
This review paper focuses on the use of ensemble neural networks (ENN) in the development of storm surge flood models. Storm surges are a major concern in coastal regions, and accurate flood modeling is essential for effective disaster management. Neural...
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Jan De Keyser, Daniel S. Hayes, Beatrice Marti, Tobias Siegfried, Carina Seliger, Hannah Schwedhelm, Oyture Anarbekov, Zafar Gafurov, Raquel M. López Fernández, Ivan Ramos Diez, Bertalan Alapfy, Justine Carey, Bakhtiyor Karimov, Erkin Karimov, Beatrice Wagner and Helmut Habersack
In today?s intrinsically connected world, the Water?Food?Energy?Climate Nexus (WFEC Nexus) concept provides a starting point for informed and transparent decision-making based on the trade-offs and synergies between different sectors, including aquatic e...
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