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        Chapter Magnetic Iron Oxide Colloids for Environmental Applications 

        Alvaro, Gallo-Cordova; Almeida, Streitwieser; María, del Puerto Morales; G. Ovejero, Jesús (2021)
        This chapter deals with magnetic colloids with catalytic properties for the treatment of polluted waters and the efficient production of fuel alternatives. This kind of materials presents great advantages such as high ...
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        Chapter Management of Wine Aroma Compounds: Principal Basis and Future Perspectives 

        G. Pereira, Antia; Jesus, Simal-Gandara; Maria, Fraga; Paula, Garcia-Oliveira; Maria, Carpena; Cecilia, Jimenez-Lopez; Catarina, Lourenço-Lopes; Lillian, Barros; C.F.R. Ferreira, Isabel; Angel, Prieto (2020)
        Wine’s aroma is defined by volatile and non-volatile compounds that contribute to its make-up. The complex variety of volatile compounds, coming from grapes, interact with other non-volatile substances of the wine as ...
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        Chapter Opportunities of Circular Economy in a Complex System of Woody Biomass and Municipal Sewage Plants 

        Attila, Bai; Zoltán, Gabnai (2021)
        In this chapter, we present the opportunities and general importance of woody biomass production (forests and short-rotation coppices) and waste management in a common system. Wastewater and different forms of sewage sludge, ...
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        Chapter Operationalizing Heterogeneous Data-Driven Process Models for Various Industrial Sectors through Microservice-Oriented Cloud-Based Architecture 

        Valdemar, Lipenko; Sebastian, Nigl; Andreas, Roither-Voigt; Zelenay, David (2021)
        Industrial performance optimization increasingly makes the use of various analytical data-driven models. In this context, modern machine learning capabilities to predict future production quality outcomes, model predictive ...
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        Chapter Machine Learning Models for Industrial Applications 

        Enislay, Ramentol; Tomas, Olsson; Shaibal, Barua (2021)
        More and more industries are aspiring to achieve a successful production using the known artificial intelligence. Machine learning (ML) stands as a powerful tool for making very accurate predictions, concept classification, ...
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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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