Uncertainty Propagation for Vibrometry-Based Acoustic Predictions Using Gaussian Process Regression
Shell-like housing structures for motors and compressors can be found in everyday products. Consumers significantly evaluate acoustic emissions during the first usage of products. Unpleasant sounds may raise concerns and cause complaints to be issued.
Andreas Wurzinger, Stefan Schoder
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Gaussian Processes For Regression In Channel Equalization
Publication in the conference proceedings of EUSIPCO, Florence, Italy ...
Sebastian Caro +2 more
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Obstacle-aware Gaussian Process Regression
Obstacle-aware trajectory navigation is crucial for many systems. For example, in real-world navigation tasks, an agent must avoid obstacles, such as furniture in a room, while planning a trajectory. Gaussian Process (GP) regression, in its current form, fits a curve to a set of data pairs, with each pair consisting of an input point 'x' and its ...
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Physics-informed gaussian process regression for reproducible and uncertainty-aware CO2 injectivity prediction. [PDF]
Adamu S +11 more
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Lower Limb Joint Torque Prediction Using Long Short-Term Memory Network and Gaussian Process Regression. [PDF]
Wang M +6 more
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Scalable Gaussian process regression via median posterior inference for estimating the health effects of an environmental mixture. [PDF]
Sonabend-W A +5 more
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Correlated product of experts for sparse Gaussian process regression. [PDF]
Schürch M +3 more
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Gaussian Process Regression for Tail Vehicle Departure Time Prediction at Signalized Intersections Using UAV Trajectory Data. [PDF]
Lu K, Liu Z, Zhang R, Xia Q, Wang R.
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Gaussian Process Regression for Value-Censored Functional and Longitudinal Data. [PDF]
Gorm Hoffmann A +3 more
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Probabilistic detection of impacts using the PFEEL algorithm with a Gaussian Process Regression Model. [PDF]
MejiaCruz Y +3 more
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