Industrial drying processes are an energy extensive and often one of the most time consuming processes in a manufacturing line. Optimizing the drying process can therefore lead to a reducing in energy consumption and an increase in manufacturing throughput.

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[1] Christian Wewer, Alexandros Iosifidis, "Industrial drying of Filter Media - Moisture Content Prediction", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/hwa2-tp66. Accessed: Nov. 28, 2022.
@data{hwa2-tp66-22,
doi = {10.21227/hwa2-tp66},
url = {http://dx.doi.org/10.21227/hwa2-tp66},
author = {Christian Wewer; Alexandros Iosifidis },
publisher = {IEEE Dataport},
title = {Industrial drying of Filter Media - Moisture Content Prediction},
year = {2022} }
TY - DATA
T1 - Industrial drying of Filter Media - Moisture Content Prediction
AU - Christian Wewer; Alexandros Iosifidis
PY - 2022
PB - IEEE Dataport
UR - 10.21227/hwa2-tp66
ER -
Christian Wewer, Alexandros Iosifidis. (2022). Industrial drying of Filter Media - Moisture Content Prediction. IEEE Dataport. http://dx.doi.org/10.21227/hwa2-tp66
Christian Wewer, Alexandros Iosifidis, 2022. Industrial drying of Filter Media - Moisture Content Prediction. Available at: http://dx.doi.org/10.21227/hwa2-tp66.
Christian Wewer, Alexandros Iosifidis. (2022). "Industrial drying of Filter Media - Moisture Content Prediction." Web.
1. Christian Wewer, Alexandros Iosifidis. Industrial drying of Filter Media - Moisture Content Prediction [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/hwa2-tp66
Christian Wewer, Alexandros Iosifidis. "Industrial drying of Filter Media - Moisture Content Prediction." doi: 10.21227/hwa2-tp66