Titlebook: Computational Science and Its Applications – ICCSA 2021; 21st International C Osvaldo Gervasi,Beniamino Murgante,Carmelo Maria T Conference

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A Machine Learning Approach for Mapping Forest Categories: An Application of Google Earth Engine for this valuable technology useful for a wide range of purposes, including forest conservation and management. This paper focuses on a workflow for mapping forest tree species from satellite images, by statistic algorithms and machine learning. Among the world satellite platforms, the Sentinel-2 progr

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Monitor Mangrove Forest Dynamics from Multi-temporal Landsat 8-OLI Images in the Southern Coast of S strictly depends on the quality management of hydrological resources at the basin level. The National Hydrographic Basin Council in Cuba, protect the hydrographic basins, considered as the reference unit for the integrated management of water resources. Moreover, the council aims at preventing nega

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Examining the Bug Prediction Capabilities of Primitive Obsession Metricsuilt to locate future bugs. Bug datasets contain information about previous defects in the code, process metrics, or source code metrics, etc. As code smells can indicate potential flaws in the source code, they can be used for bug prediction as well..In our previous work, we introduced several sour

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A Novel Approach to Test Case Prioritization for Software Regression Testsd cost spent in regression tests. Data such as various software quality metrics and past test run results are used when prioritizing test cases in the literature. In this study, a new test prioritization method is proposed based on the number and speed of detected errors. Applying the proposed techn

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Conference proceedings 2021, ICCSA 2021, which was held in Cagliari, Italy, during September 13 – 16, 2021. The event was organized in a hybrid mode due to the Covid-19 pandemic.The 466 full and 18 short papers presented in these books were carefully reviewed and selected from 1588 submissions. Part VII of the set includes th

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Palgrave Studies in Oral History flood exposure with respect to accuracy of morphological information in the context of ephemeral streams located in Puglia region (Southern Italy). Results showed an influence of data resolution on descriptors performances, providing an additional contribution to the investigations carried out in similar areas during last years.

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Improving the Performance of an Operational Flood Early Warning System with the Assimilation of Sateuguay for Durazno city. In particular, the possible improvement is evaluated taking into account the assimilation of SM retrievals from the Advanced SCATterometer (ASCAT). According to the results, an improvement higher than 100% was registered for peak level, and an enhancement higher than 30% was obtained for peak time.