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

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Suche nach einem Ausbildungsinstitut,efficiency performance. Specifically, in the field of medical images, it makes doctors possible to distinguish and diagnose diseases in a more accurate way. Medical images like any other form of imaging techniques are affected by noise and artifacts. There are many types of noise, such as quantum, r

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https://doi.org/10.1007/978-3-540-46853-0ane known as the midsagittal plane (MSP). However, despite the name, the MSP does not always resemble a plan since the brain is not perfectly symmetric. The detection of the MSP in human brain images is an essential task to segment the brain hemispheres. Studies suggest that abnormal values of brain

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Suche nach einem Ausbildungsinstitut,training and testing is done with image patches taken from consistent spatial locations, i.e. temporal features exploited are bound to specific positions in the image. With spatially consistent patches, up?to 100% classification accuracy can be achieved, whereas with spatially varying patches the ac

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https://doi.org/10.1007/978-3-540-46853-0able to deal with images that can contain shadowed regions, upper/less lighted parts and saturated pixels. Consequently, the segmentation of RGB images is more often failed. In this paper, we propose a method that can overcome some of the listed difficulties. It is based, firstly, on a transformatio

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https://doi.org/10.1007/978-3-540-46853-0g men, women and children of many different age brackets. Studies have been presented in recent years addressing the use of systems for motion capture in post stroke rehabilitation, showing that these tools could be just as efficient as the more traditional methods. In this study, we shall present K

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Suche nach einem Ausbildungsinstitut,paper develops and evaluates twenty-eight hybrid architectures combining seven recent deep learning techniques for feature extraction (DenseNet 201, Inception V3, Inception ReseNet V2, MobileNet V2, ResNet 50, VGG16 and VGG19), and four classifiers (MLP, SVM, DT and KNN) for binary classification of

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https://doi.org/10.1007/978-3-540-46853-0is contributed to the adoption of automation mechanisms for the software testing process, in order to reduce coding errors and shorten the time needed to deploy a new version of the application to the user. Currently, automating the application testing process is a well-established reality and suppo

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Suche nach einem Ausbildungsinstitut,Specifically, urban masonry walls are here considered. The proposed simplified procedure takes rainfalls as the intensity measure dependent on rain duration and return period. Growing levels of imbibition of the soil behind the wall determine a de-crease of the strength parameters of the soil. A geo