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Heart rate measures reflect the interaction of low mental workload and fatigue during driving simulation.

, , , , , and . AutomotiveUI, page 261-264. ACM, (2012)

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Evaluation of Deep Autoencoders for Prediction of Adjustment Points in the Mass Production of Sensors., , , and . ML4CPS, page 9-16. Springer, (2017)Multiple Hypothesis Testing Framework for Spatial Signals., , and . IEEE Trans. Signal Inf. Process. over Networks, (2022)Multiple Hypothesis Testing Framework for Spatial Signals., , and . CoRR, (2021)Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks., , , , and . ACSSC, page 1257-1261. IEEE, (2019)Nonparametric detection using empirical distributions and bootstrapping., , and . EUSIPCO, page 1450-1454. IEEE, (2017)Evolutionary Simulations to Determine the Human Circadian Period Using an Extended Sleep-Wake Model., , , and . UKSim, page 51-54. IEEE, (2013)Estimating Test Statistic Distributions for Multiple Hypothesis Testing in Sensor Networks., , and . CISS, page 90-95. IEEE, (2022)Data Fusion for Modern Engineering Applications: An Overview., , , , , , , , , and . ICANN (2), volume 3697 of Lecture Notes in Computer Science, page 715-721. Springer, (2005)Spatial Inference in Sensor Networks using Multiple Hypothesis Testing and Bayesian Clustering., , , , and . EUSIPCO, page 1-5. IEEE, (2019)Bayesian Multiple Hypothesis Testing For Distributed Detection In Sensor Networks., , and . DSW, page 105-109. IEEE, (2019)