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Article
Open AccessExploring the potential of incremental feature selection to improve genomic prediction accuracy
The ever-increasing availability of high-density genomic markers in the form of single nucleotide polymorphisms (SNPs) enables genomic prediction, i.e. the inference of phenotypes based solely on genomic data,...
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Article
Open AccessEconomic evaluation of Motor Neuron Diseases: a nationwide cross-sectional analysis in Germany
Motor Neuron Diseases (MND) are rare diseases but have a high impact on affected individuals and society. This study aims to perform an economic evaluation of MND in Germany.
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Article
Open AccessMethods for modeling the steering wheel torque of a steer-by-wire vehicle
Unlike electromechanical steering systems, steer-by-wire systems do not have a mechanical coupling between the wheels and the steering wheel. Therefore, a synthetic steering feel has to be generated to supply ...
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Chapter and Conference Paper
Drive the Future—Benchmark and Verification of DriveByWire Functions
In a futuristic setting of automated driving, the driver commits the driving task to the vehicle and the steering wheel disappears into the dashboard. SteerByWire steering systems serve as key technology to im...
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Article
Open AccessA comprehensive study on battery electric modeling approaches based on machine learning
Battery electric modeling is a central aspect to improve the battery development process as well as to monitor battery system behavior. Besides conventional physical models, machine learning methods show great...
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Chapter and Conference Paper
Multimodal Meta-Learning for Time Series Regression
Recent work has shown the efficiency of deep learning models such as Fully Convolutional Networks (FCN) or Recurrent Neural Networks (RNN) to deal with Time Series Regression (TSR) problems. These models somet...
