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Titlebook: Advances in Emerging Trends and Technologies; Volume 2 Miguel Botto-Tobar,Joffre León-Acurio,Práxedes Mon Conference proceedings 2020 Sprin

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发表于 2025-3-21 16:26:52 | 显示全部楼层 |阅读模式
期刊全称Advances in Emerging Trends and Technologies
期刊简称Volume 2
影响因子2023Miguel Botto-Tobar,Joffre León-Acurio,Práxedes Mon
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发行地址Discusses recent technology trends, focusing on intelligent systems, machine vision, communication, e-learning, and e-business.Presents the proceedings of the 1st International Conference on Advances
学科分类Advances in Intelligent Systems and Computing
图书封面Titlebook: Advances in Emerging Trends and Technologies; Volume 2 Miguel Botto-Tobar,Joffre León-Acurio,Práxedes Mon Conference proceedings 2020 Sprin
影响因子.This book constitutes the proceedings of the 1st International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019), held in Quito, Ecuador, on 29–31 May 2019, jointly organized by Universidad Tecnológica Israel, Universidad Técnica del Norte, and Instituto Tecnológico Superior Rumiñahui, and supported by SNOTRA. ICAETT 2019 brought together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topics:.Technology Trends.Electronics.Intelligent Systems.Machine Vision.Communication.Security.e-Learning.e-Business.e-Government and e-Participation.
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Engineering Materials and Processes a correlation of 0.88 and a satisfactory evaluation in the Error Diagram of Clarke. According to the results obtained, the proposed database is appropriate for training and verification of existing correlation between photoplethysmography signals and blood glucose level.
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Conference proceedings 2020 share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topics:.Technology Trends.Electronics.Intelligent Systems.Machine Vision.Communication.Security.e-Learning.e-Business.e-Government and e-Participation.
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Edmund G. Seebauer,Meredith C. Kratzerelet transform, autoregressive components and spatial filtering were the analyzed techniques; the classification method used was a neural network. An average accuracy of 60,81%, 61,78% and 64,59% was obtained for each method, respectively.
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Edmund G. Seebauer,Meredith C. Kratzer a controller based on a reduced board processor and a visual interface that virtually shows the movements realized and the operation errors report. The operation guide made by the manufacturer was used as a reference for the validation of the simulator in order to verify if the system identifies clearly the errors typified in the documentation.
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Thermodynamics of supercharging,F estimation algorithm is applied to this two dynamic models in order to design the estimator block, and the filter’s parameters are tuned by simulating the ensemble “OMIB System-Estimator”. Finally, the performance of the developed state estimators is evaluated and compared.
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