A Bayesian Approach for Pervasive Estimation of Breaststroke Velocity Using a Wearable IMU

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The current study sought to objectively evaluate cybersickness by utilizing Electrogastrogram (EGG) physiological data in relation to three different navigation axes: Translational movement along the longitudinal and lateral axes, and rotation along the ve ...

The latest European polices highlight the urgent need to rehabilitate the existing building stock, responsible for 40 % of the EU's total energy consumption. In this process, a key role is played by thermal simulations, assessing the effective energy perfo ...

Deep neural networks have become ubiquitous in today's technological landscape, finding their way in a vast array of applications. Deep supervised learning, which relies on large labeled datasets, has been particularly successful in areas such as image cla ...

Tests used in the empirical sciences are often (implicitly) assumed to be representative of a given research question in the sense that similar tests should lead to similar results. Here, we show that this assumption is not always valid. We illustrate our ...

This article provides a comprehensive review of the most recent advances in the planning, execution, and analysis of inflow and wake measurements from nacelle-mounted wind Doppler lidars. Lidars installed on top of wind turbines provide a holistic view of ...

Selection bias may arise when data have been chosen in a way that subsequent analysis does not account for. Such bias can arise in climate event attribution studies that are performed rapidly after a devastating "trigger event'', whose occurrence correspon ...

This paper proposes a simple linear Bayesian approach to reinforcement learning. We show that with an appropriate basis, a Bayesian linear Gaussian model is sufficient for accurately estimating the system dynamics, and in particular when we allow for corre ...

A Bayesian Approach for Pervasive Estimation of Breaststroke Velocity Using a Wearable IMU

Chattez avec Graph Search

EGG Objective characterization of cybersickness symptoms towards navigation axis

A modelling framework for modern heritage buildings energy simulation

Deep Learning Generalization with Limited and Noisy Labels

Do we really measure what we think we are measuring?

Characterization of wind turbine flow through nacelle-mounted lidars: a review

Timing and spatial selection bias in rapid extreme event attribution

Linear Bayesian Reinforcement Learning