Titlebook: Geo-Spatial Knowledge and Intelligence; 5th International Co Hanning Yuan,Jing Geng,Tisinee Surapunt Conference proceedings 2018 Springer N

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Eva G. Heidbreder,Daniel Schadeod to calculate the significant wave height from the SAR imagery, which supposes the significant wave height in linear relation with the square of the signal-to-noise ratio of radar images, the significant wave height has been obtained from estimating the images of X-band radar. The experimental dat

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https://doi.org/10.1007/978-3-322-92645-6ethod based on Convolutional Neural Network (CNN) is proposed for the classification of hyperspectral images. Due to using more spatio-spectral features for the classification of hyperspectral images, the proposed method outperforms the existing state-of-the-art classification techniques. Our propos

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,Europ?ische Integration als Elitenprozess,ing of 21 member countries from 2006 to 2016 through the Circos Graphical Model. The results indicate that the countries with strong position in the shipping field spread out dense network, especially playing a boosting role to lead those with relative low position. The association of maritime trans

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Das umweltpolitische Integrationsprinzip, to its generalization and learning ability have been widely applied in the field of software reliability modeling. However, the slow convergence and local minimum of neural networks may cause unsuccessful prediction. Therefore, this paper presents a software reliability combination model based on g

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EG-Haushalt und deutscher Beitrag,ion of data mining from railway alarm data. The railway alarm data is analyzed to find the correlation between alarm items and between railway bureaus when alarm occurred and predict the alarm occurring. The paper proposed an alternative measurement mode with three values: support, Kulc and balance

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