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Titlebook: Communication, Smart Technologies and Innovation for Society; Proceedings of CITIS Álvaro Rocha,Paulo Carlos López-López,Juan Pablo S Confe

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Programmablaufplan nach DIN 66001,, i.e., pressure, temperature, and chemical compounds in the anode and cathode side. A correct data preprocessing allows an appropriate quality of data to evaluate the fuel cell’s behavior during the energy conversion process. It also helps to predict a fuel cell’s future performance, considering te
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https://doi.org/10.1007/978-3-642-84343-3have increased this problem. Over the nineteenth century, several studies have developed operative methods for seawater desalination, which resulted in the incorporation of desalination plants all around the world, but the most used methods are the following three: reverse osmosis, multi-stage disti
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https://doi.org/10.1007/978-3-642-84343-3their first years at the Universidad Politécnica Salesiana. The participants of the study, a population of 80 students from two classes from the computer engineering major, ages 17–21, are challenged to complete four different scenarios developed with Google Forms and incorporating videos, QR codes,
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Einleitung: Ziele und Prinzipien,cal role in drinking water quality monitoring. Recent anomaly detection techniques use tools from the machine learning area, where after a supervised learning process, a given machine learning representation can classify an event as normal or as an anomaly. Most of the times this learning process is
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https://doi.org/10.1007/978-3-662-30454-9ons and sub-criterions, according to the point of view of 543 homeowners’ validated information from the city of Guayaquil. This research offers a reasonable perspective of the major factors that drive electricity usage at home from the point of view of the users. Evaluation of perceptions by social
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