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Thomas J. Tewes, Laurence Harcq and Dirk P. Bockmühl
Due to the current high awareness and rising energy costs, the energy label of domestic appliances is an important indicator for consumers when buying a dishwasher. However, not all consumers use efficient Eco cycles on a regular basis. When investigatin...
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Beata Medynska-Gulij, David Forrest and Thomas P. Kersten
This article summarizes the Special Issue of Cartography and Geomedia. Here, Cartography and Geomedia presents a view of cartography as a combination of technology, science, and art, with a focus on the development of geomedia in a geomatic and design-ba...
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Juby Thomas, Manika Gupta, Prashant K. Srivastava and George P. Petropoulos
Shallow landslides due to hydro-meteorological factors are one of the most common destructive geological processes, which have become more frequent in recent years due to changes in rainfall frequency and intensity. The present study assessed a dynamic, ...
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Thomas P. Oghalai, Ryan Long, Wihan Kim, Brian E. Applegate and John S. Oghalai
Optical Coherence Tomography (OCT) is a light-based imaging modality that is used widely in the diagnosis and management of eye disease, and it is starting to become used to evaluate for ear disease. However, manual image analysis to interpret the anatom...
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Yijun Shao, Kaitlin Todd, Andrew Shutes-David, Steven P. Millard, Karl Brown, Amy Thomas, Kathryn Chen, Katherine Wilson, Qing T. Zeng and Debby W. Tsuang
The application of natural language processing and machine learning (ML) in electronic health records (EHRs) may help reduce dementia underdiagnosis, but models that are not designed to reflect minority populations may instead perpetuate underdiagnosis. ...
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Thomas J. Tewes, Michael C. Welle, Bernd T. Hetjens, Kevin Saruni Tipatet, Svyatoslav Pavlov, Frank Platte and Dirk P. Bockmühl
Numerous publications showing that robust prediction models for microorganisms based on Raman micro-spectroscopy in combination with chemometric methods are feasible, often with very precise predictions. Advances in machine learning and easier accessibil...
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Andreas P. Mayer, Elena A. Mayer, Markus Mayer, Werner Ruile, Vikrant Chauhan, Thomas Forster and Karl C. Wagner
In the framework of electro-elasticity theory and the finite element method (FEM), a model is set up for the computation of quantities in surface acoustic wave (SAW) devices accounting for nonlinear effects. These include second-order and third-order int...
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Hannah Mary T. Thomas, Helen Y. C. Wang, Amal Joseph Varghese, Ellen M. Donovan, Chris P. South, Helen Saxby, Andrew Nisbet, Vineet Prakash, Balu Krishna Sasidharan, Simon Pradeep Pavamani, Devakumar Devadhas, Manu Mathew, Rajesh Gunasingam Isiah and Philip M. Evans
The application of this work is in radiomics for medical imaging analysis. It addresses the question of how to establish if radiomic features are stable and reproducible.
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Thomas P. Mazarakos, Theodosis D. Tsaousis, Spyros A. Mavrakos and Ioannis K. Chatjigeorgiou
The purpose of this study is to scrutinize the coupled hydroaeroelastic problem for a TLP design of a floating structure consisting of multiple vertical truncated cylinders which support a 10 MW
10
MW
wind turbine (WT). The platform is exposed to the ...
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Gil Felix Greco, Bekir Yildiz, Jan Göing, Tobias P. Ring, Thomas Feuerle, Peter Hecker and Sabine C. Langer
Computational models of sufficient quality are indispensable to quantitatively assess aircraft noise reduction measures. Within this study, a multi-level simulation framework is established in order to predict the environmental noise of holding approach ...
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