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Titlebook: Emerging Research in Intelligent Systems; Proceedings of the C Miguel Botto-Tobar,Henry Cruz,Benjamin Durakovic Conference proceedings 2022

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书目名称Emerging Research in Intelligent Systems
副标题Proceedings of the C
编辑Miguel Botto-Tobar,Henry Cruz,Benjamin Durakovic
视频video
概述Focuses on Intelligent Systems, AI, Computer and Software Engineering.Proceedings of the XVI International Congress of Science and Technology (CIT 2021).Presents high-quality, peer-reviewed papers
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Emerging Research in Intelligent Systems; Proceedings of the C Miguel Botto-Tobar,Henry Cruz,Benjamin Durakovic Conference proceedings 2022
描述.This book constitutes the proceedings of the XVI Multidisciplinary International Congress on Science and Technology (CIT 2021), held in Quito, Ecuador, on June 14–18, 2021, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in science and technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics:. ..Artificial Intelligence..Computational Modeling..Data Communications.Defense Engineering.Innovation, Technology, and Society..Managing Technology & SustainedInnovation, and Business Development..Security and Cryptography..Software Engineering.. . .
出版日期Conference proceedings 2022
关键词Intelligent Systems; Artificial intelligence; Computer Networks; Data Communications; Embedded System; GU
版次1
doihttps://doi.org/10.1007/978-3-030-96043-8
isbn_softcover978-3-030-96042-1
isbn_ebook978-3-030-96043-8Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Statistics and Neural Networks,he dynamic response of the building during a seism. Results show that the acceleration values increase as a function of the building height. Regarding the seismic event analyzed, the RMS values of acceleration identified on the basement were 0.26, 0.22, and 0.22 cm/s. and in the case of the eighth f
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Neural Network Adjustment Algorithmsapplying Blockchain in IoT. Therefore, there is a need to evaluate the performance of Blockchain in different environments and new investigations that provide better results as computer vulnerabilities and their possible effects on devices used in IoT increase.
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Neural Networks and Fuzzy Systems and those developed after participating in permanent training courses. The data was corroboree by obtaining a p-value of 0.007. Lifelong learning acquires a leading role when digital literacy and digital skills development are necessary for an emerging situation.
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Neural Networks and Statistical Learning to the defined variables. In addition, a method was developed using an unsupervised machine learning algorithm in Python. The tools used for the development of this research were PRTG, Python, Pycaret Library, Collaboratory, Power BI for monitoring, development, and simulation respectively. For the
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https://doi.org/10.1007/978-1-4471-3244-8t. Tests were carried out on the system by calculating the precision with different interfaces, and it was obtained that the one with the lowest margin of error is the interface where images and keywords are applied, this being the one used in the construction of the proposed system.
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Yeshwant K. Muthusamy,Ronald A. Coleal and non-traditional methods. In that sense, Artificial Intelligence (AI) methods are crucial in the studies of CT image segmentation due to those methods automated all of the processes. The majority contributions of AI are the novel methods from its subfields of Deep Learning and Neural Networks.
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