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Titlebook: Artificial Intelligence for Knowledge Management, Energy, and Sustainability; 9th IFIP WG 12.6 and Eunika Mercier-Laurent,Gülgün Kayakutlu

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Artificial Intelligence for Knowledge Management, Energy, and Sustainability9th IFIP WG 12.6 and
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Unternehmensumfeld und Weiterbildung and facilities in many areas such as transportation, communication, health, security, energy efficiency, water use and waste management. Smart Waste Management Systems (SWMS) emerging in this context make an important contribution to the sustainability of today‘s cities and play an important role i
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Holm Gero Hümmler,Ulrike Schiesserricity consumption patterns, and the selected features are used to train a classifier or regressor. However, the existed methods depend on a single contributing model, which can be possibly undertrained. To achieve the optimal performance of classifiers for characteristics identification, we propose
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https://doi.org/10.1007/978-3-658-40134-4tion of collective intelligence useful in relatively new directions: energy acquisition and selected processes assuring sustainable development. Both directions seem to be very innovative and promising–especially in the ecosystems context.
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https://doi.org/10.1007/978-3-8349-8686-3plants that is being built in Turkey is proposed. This model must keep up with instantaneous data flow and giving actionable feedback to the operator both for the cause and the solution. A semi-autonomous AI control system that help the operator decision making is a significant contributor to the sa
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Grundlagen der Unternehmensberatung,nuclear disaster is of great practical importance for other countries operating nuclear objects, (2) the situational innovations resulting from the overcoming of nuclear disaster need to be consolidated into a data base and incorporated into the international data base of the results of nuclear rese
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