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Correction

Correction: Schiboni et al. DynDSE: Automated Multi-Objective Design Space Exploration for Context-Adaptive Wearable IoT Edge Devices. Sensors 2020, 20, 6104

Digital Health, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052 Erlangen, Germany
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(18), 6808; https://doi.org/10.3390/s22186808
Submission received: 28 April 2022 / Accepted: 20 May 2022 / Published: 8 September 2022
Due to formal academic regulations, the affiliation of the university has been amended, and an “Acknowledgements” section has been added to the original publication [1].
Instead of “FAU Erlangen-Nürnberg”, it should be written as “Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)”.
The “Acknowledgements” section has been added at the bottom of the paper, just before the “Conflict of Interest”. The content now reads as follows:
Acknowledgements: The present study was performed in (partial) fulfillment of the requirements for obtaining the degree “Dr. rer. biol. Hum”.
This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Schiboni, G.; Suarez, J.C.; Zhang, R.; Amft, O. DynDSE: Automated Multi-Objective Design Space Exploration for Context-Adaptive Wearable IoT Edge Devices. Sensors 2020, 20, 6104. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Schiboni, G.; Suarez, J.C.; Zhang, R.; Amft, O. Correction: Schiboni et al. DynDSE: Automated Multi-Objective Design Space Exploration for Context-Adaptive Wearable IoT Edge Devices. Sensors 2020, 20, 6104. Sensors 2022, 22, 6808. https://doi.org/10.3390/s22186808

AMA Style

Schiboni G, Suarez JC, Zhang R, Amft O. Correction: Schiboni et al. DynDSE: Automated Multi-Objective Design Space Exploration for Context-Adaptive Wearable IoT Edge Devices. Sensors 2020, 20, 6104. Sensors. 2022; 22(18):6808. https://doi.org/10.3390/s22186808

Chicago/Turabian Style

Schiboni, Giovanni, Juan Carlos Suarez, Rui Zhang, and Oliver Amft. 2022. "Correction: Schiboni et al. DynDSE: Automated Multi-Objective Design Space Exploration for Context-Adaptive Wearable IoT Edge Devices. Sensors 2020, 20, 6104" Sensors 22, no. 18: 6808. https://doi.org/10.3390/s22186808

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