Titlebook: Schätzen und Testen; Eine Einführung in W Oskar Anderson,Werner Popp,Horst Stenger Textbook 1997Latest edition Springer-Verlag Berlin Heide

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Oskar Anderson,Werner Popp,Manfred Schaffranek,Dieter Steinmetz,Horst Stenger application of unmanned surface vehicles (USVs) in the military. The USVs are designed to attack the protected hostile target with a minimum loss that use the lower attack capacity and a small number of attack USVs to reach the target. The USVs attack problem could be viewed as a multi-constrained

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Things (IoT) is a core element in the process of developing communities “ruled” by an improved communication, better understanding and wait times decrease. This paper aims to present the ways in which IoT networks and services can contribute to develop smart cities, giving as example various cities

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Oskar Anderson,Werner Popp,Manfred Schaffranek,Dieter Steinmetz,Horst Stengerigital technologies allow data collection, their analysis and operational management of equipment and technological processes in real time, which allows, on the one hand, to apply new approaches to modeling technical systems and processes -the so-called “data-driven models”. On the other hand, it re

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Oskar Anderson,Werner Popp,Manfred Schaffranek,Dieter Steinmetz,Horst Stengerror level analysis algorithm and the formation of compression noise histograms, the construction of concatenated noise vectors, and data classification. As a noise histogram classifier, it is proposed to use artificial neural networks of adaptive resonance theory with a hierarchical memory structure

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Oskar Anderson,Werner Popp,Manfred Schaffranek,Dieter Steinmetz,Horst Stenger-premises servers and services into cloud, companies can leverage several advantages such as cost optimization, high performance, and flexible system maintenance, to name a few. As the data volume, variety, veracity, and velocity are rising tremendously, adopting machine learning (ML) solutions in t

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Oskar Anderson,Werner Popp,Manfred Schaffranek,Dieter Steinmetz,Horst Stenger data mining model are considered. The solution of the simplest machine learning problem using the classification method of linear regression is proposed. The analysis of existing learning algorithms based on a decision tree is carried out. Based on the analysis performed, a decision tree was select

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