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Titlebook: Cloud Computing, Big Data & Emerging Topics; 9th Conference, JCC- Marcelo Naiouf,Enzo Rucci,Laura De Giusti Conference proceedings 2021 Spr

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1865-0929 l of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and mobile computing; visualization...*The conference was held virtually due to the COVID-19 pandemic..978-3-030-84824-8978-3-030-84825-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
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1865-0929 &ET 2021, held in La Plata, Argentina*, in June 2021..The 12 full papers and 2 short papers presented were carefully reviewed and selected from a total of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and
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Detection of Crop Lines and Weeds in Corn Fields Based on Images Obtained from a Dronecrop exclusion, weed detection, this allows separating the weed from the crop lines detected in the images captured at 5, 10, and 15 m in height. The results obtained show that the crop lines (85%) and weeds (34.61%) of the total vegetation can be better identified in the fourth week 15 m high. With
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A Comparison of Neural Networks for Sign Language Recognition with LSA64ll previous models, many specifically designed for this task. Furthermore, we perform ablation studies that indicate that temporal data augmentation can provide a significant boost to accuracy, unlike traditional spatial data augmentation techniques. Finally, we analyze the activation values of the
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Library for Multidimensional Data Visualizationy. In this paper, we present the . Library, a data visualization library supporting Non-Paired General Line Coordinates (.) with associated traditional interactions like brushing, zooming, and panning. . is a collection of visualization methods, designed for experimenting with . techniques in the de
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