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Titlebook: Advances in Computer Science for Engineering and Education; Zhengbing Hu,Sergey Petoukhov,Matthew He Conference proceedings 2019 Springer

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https://doi.org/10.1007/978-3-642-93354-7t and image classification. However, all these tasks have a common feature - training dataset can be unbalanced, the number of instances of the target class can be less than one percent of all data. In this article, we compare the results of solving one of these problems using the most common classi
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,Eine CAD-Schnittstelle für das Bauwesen,g, an information technology has been developed. Under the conditions of sustainable development, it provides the optimization of water use and contributes to the ecological rehabilitation within the river basin. The combined operational control of the distribution of water masses and pollution tran
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M. Weck,F. Förtsch,Th. RochlitzDecision Support System. The data obtained from the weather service databases on temperature and humidity are summarized on the basis of potential evapotranspiration calculations. Forecast data on precipitation is handled under uncertainty. On the basis of the weather forecast data, moisture transfe
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M. Weck,F. Förtsch,Th. Rochlitzf nuclear spins (one half) in a strong magnetic field coupled by an Ising interaction. Quantum algorithms in such system can be performed by transverse electromagnetic radio-frequency field using a number of resonant π-pulses on the initial states. The maximum number of π-pulses needed for the imple
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CAD-Datenaustausch und -Datenverwaltungdth allocation in queues has been further developed. The novelty of the model is that when flows are queued, they are aggregated based on the comparison of the classes of flows and queues in the course of analyzing the set of classification characteristics. Moreover, the result of calculating the pe
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CAD-Datenaustausch und -Datenverwaltunge software development, small-scale production). An effective solution of the proposed models is based on earlier results of M.Z. Zgurovsky, A.A. Pavlov, E.B. Misura, and E.A. Khalus in the field of intractable single stage single machine scheduling problems.
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https://doi.org/10.1007/978-3-319-91008-6Engineering; Computer Science; Information Technologies; Education Applications; Genetic Code; Bioinforma
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978-3-319-91007-9Springer International Publishing AG, part of Springer Nature 2019
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