Titlebook: Artificial Intelligence: Theory and Applications; Endre Pap Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive lic

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Führungskultur auf dem Prüfstand. One of the frequent tasks in applications with digital images is image classification which is a very challenging task. Major progress was made when convolution neural networks were introduced. The use of CNN has produced significant improvements in applications that require image classification.

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https://doi.org/10.1007/978-3-662-47264-4al and practical reasons, aggregation operators with an annihilator and aggregation operators with a neutral element are of special interest for researchers. The issue of distributivity of aggregation operators is crucial for many different areas such as decision making theory and integration theory

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M. Brandt,I. Holtermann,D. Kunze degree of uncertainty. These uncertainties can be modeled using various methods, including fuzzy sets. Apart from the precise description from the problems’ nature, fuzzy variables can describe the problem better, improve the solution and reduce costs for decision makers. In this chapter we show ho

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Bernhard Badura,Antje Ducki,Markus Meyer0 by Yang and quickly demonstrated its efficiency in comparison with other common algorithms. The BA is based on echolocation in bats. The BA uses automatic zooming to strike a balance between exploration and exploitation by imitating the deviations of the bat’s pulse emission rate and loudness as i

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W. Eichhorst,V. Tobsch,C. Wehner Maternal milk is high in fat, and therefore, represents a very suitable medium for the bioaccumulation of lipophilic pollutants, such as organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs). This makes breast milk the infant’s primary source of postnatal exposure to persistent toxi

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