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Deep learning of virtual marine sensors. [PDF]

, 2018
This thesis proposes an approach to build virtual sensors based on machine learning to replace broken physical sensors. These virtual sensors are trained with sensor data from the Time Series Station Spiekeroog (TSS) and the Biodiversity-Ecosystem Functioning across marine and terrestrial ecosystems (BEFmate) project in the Wadden Sea.
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Exhaust emissions control and engine parameters optimization using artificial neural network virtual sensors for a hydrogen-powered vehicle

International Journal of Hydrogen Energy, 2012
Vishy Karri
exaly  

Development, implementation, and evaluation of a fault detection and diagnostics system based on integrated virtual sensors and fault impact models

Energy and Buildings, 2020
Woohyun Kim, James E Braun
exaly  

Sensor Virtualization and Provision in Internet of Vehicles

2022
Slim Abbes, Slim Rekhis
openaire   +1 more source

Virtual sensors for estimation of energy consumption and thermal comfort in buildings with underfloor heating

Advanced Engineering Informatics, 2011
Joern Ploennigs, Burkhard Hensel, Karsten Menzel   +2 more
exaly  

The DMF as a virtual sensor

MTZ worldwide, 2007
Andreas Walter, Uwe Kiencke, Stephen Jones, Thomas Winkler   +3 more
openaire   +1 more source

FDI and FTC of wind turbines using the interval observer approach and virtual actuators/sensors

Control Engineering Practice, 2014
Joaquim Blesa, Damiano Rotondo, Vicenç Puig   +2 more
exaly  

Simultaneous in-situ calibration for physical and virtual sensors towards digital twin-enabled building operations

Advanced Engineering Informatics
Jabeom Koo, Sungmin Yoon
exaly  

Virtual sensors for the Hias process

Water Practice and Technology
Tiina Komulainen, O Korostynska, Korostynska Olga   +2 more
exaly  

Virtual instrumentation and intelligent sensors

Sensors and Actuators A: Physical, 1997
exaly