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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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        Chapter xCARE: A Development Platform for Supporting Smart and Pervasive Healthcare 

        Eloisa, Vargiu; Meritxell, Gómez-Martínez; Silvia, Orte; Laura, Ros-Freixedes; Kian, Seif; David, Marí; Felip, Miralles (2021)
        We are assisting to an important change in the healthcare domain where healthy citizens and patients are more and more in the center and become active partners in the entire process. In this scenario, smart and pervasive ...
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        Chapter A Framework for Learning System for Complex Industrial Processes 

        Rahman, Moksadur; Fentaye, Amare Desalegn; Zaccaria, Valentina; Aslanidou, Ioanna; Dahlquist, Erik; Kyprianidis, Konstantinos (2021)
        Due to the intense price-based global competition, rising operating cost, rapidly changing economic conditions and stringent environmental regulations, modern process and energy industries are confronting unprecedented ...
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        Chapter Quality of Information within Internet of Things Data 

        Tomás, Alcañiz; Aurora, González-Vidal; P. Ramallo, Alfonso; F. Skarmeta, Antonio (2021)
        Due to the increasing number of IoT devices, the amount of data gathered nowadays is rather large and continuously growing. The availability of new sensors presented in IoT devices and open data platforms provides new ...
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        Chapter Adenovirus as Tools in Animal Health 

        Rojas, José M.; Sevilla, Noemí; Martín, Verónica (2019)
        Adenoviruses have long been identified as good candidates for use as viral vectors in gene therapy and as vaccines. These viruses can infect multiple cell types, while in division or in quiescence, and are relatively easy ...
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        Chapter Robots in Agriculture: State of Art and Practical Experiences 

        Jesús Roldán, Juan; Garzón-Ramos, David; del Cerro, Jaime; Barrientos, Antonio; Garzón, Mario; De León, Jorge (2018)
        The presence of robots in agriculture has grown significantly in recent years, overcoming some of the challenges and complications of this field. This chapter aims to collect a complete and recent state of the art about ...
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        Chapter Sorption Detoxification as an Addition to Conventional Therapy of Acute Radiation Sickness and Iatrogenic Leukopenia 

        Sarnatskaya, V. V.; Snezhkova, E. A.; Chekhun, Vasyl F.; Vg, Nikolaev; Bilous, Anatoliy G.; Shevchuk, O. O.; Badakhivska, Kvitoslava I.; Sakhno, L. A. (2019)
        Leukopenia is an essential part of the clinical course of acute radiation sickness and is a side effect of anti-cancer treatment. In both situations, the main factors which determine the survival are the degree of bone ...
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        Chapter Topological Visualisation Techniques for Volume Multifield Data 

        Thomas, Dean P.; Hands, Simon; Borgo, Rita; Laramee, Robert S. (2019)
        This survey paper provides an overview of topological visualisation techniques for scalar data sets. Topological algorithms are used to reduce scalar fields to a skeleton by mapping critical changes in the topology to the ...
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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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