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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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书目名称Cloud Computing, Big Data & Emerging Topics
副标题9th Conference, JCC-
编辑Marcelo Naiouf,Enzo Rucci,Laura De Giusti
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Cloud Computing, Big Data & Emerging Topics; 9th Conference, JCC- Marcelo Naiouf,Enzo Rucci,Laura De Giusti Conference proceedings 2021 Spr
描述This book constitutes the revised selected papers of the 9th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&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 mobile computing; visualization...*The conference was held virtually due to the COVID-19 pandemic..
出版日期Conference proceedings 2021
关键词artificial intelligence; communication systems; computer hardware; computer networks; computer systems; c
版次1
doihttps://doi.org/10.1007/978-3-030-84825-5
isbn_softcover978-3-030-84824-8
isbn_ebook978-3-030-84825-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Detection of Crop Lines and Weeds in Corn Fields Based on Images Obtained from a Droneductions. Weeds are one of the main factors affecting the yield and quality of farming products. The PA is one of the technological solutions to detect weeds in corn crops through the analysis of digital images to carry out different actions that allow reducing the risk of production in a traditiona
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Routing Security Using Blockchain Technology, these attacks are as old as the protocol itself, and today these failures continue to occur and research continues on what is the best strategy to provide security for routing on the Internet. New solutions, such as RPKI, are generating risks due to the centralization of the routing authority, the
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Comparison of Hardware and Software Implementations of AES on Shared-Memory Architecturesever-increasing amount of sensitive data that need to be protected, it is natural to turn to parallel AES solutions that exploit the full computational power provided by emerging architectures in order to reduce encryption time. In this paper, we compare the performance of a hardware-based AES solut
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A Comparison of Neural Networks for Sign Language Recognition with LSA64 Neural Network models have taken precedence over specialized models designed specifically for Sign Language. Despite this, the completeness and complexity of datasets has not scaled accordingly. This deficiency presents a significant challenge for deploying Sign Language Recognition models, special
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Optimizing Sparse Matrix Storage for the Big Data Erarge graphs, as these are often represented as sparse matrices. In this context, it is necessary to provide matrix storage formats that save memory, avoid pointless computations, and enable convenient memory accesses. Reordering techniques, which permute the rows and columns of the matrix to achieve
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