International Conference on Applied Technologies 6th International Conference, ICAT 2024, Samborondón, Ecuador, November 20–22, 2024, Revised Selected Papers, Part I /

This book constitutes the refereed proceedings of the 6th International Conference on International Conference on Applied Technologies, ICAT 2024, held in Samborondón, Ecuador, during November 20–22, 2024. The 25 full papers included in this book were carefully reviewed and selected from 95 submissi...

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企業作者: SpringerLink (Online service)
其他作者: Botto-Tobar, Miguel (Editor), Lema Moreta, Lohana (Editor), Zambrano Vizuete, Marcelo (Editor), Montes León, Sergio (Editor), Torres-Carrion, Pablo (Editor), Durakovic, Benjamin (Editor)
格式: 電子 電子書
語言:英语
出版: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
版:1st ed. 2025.
叢編:Communications in Computer and Information Science, 2456
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在線閱讀:https://doi.org/10.1007/978-3-031-89757-3
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505 0 |a  -- Systematic mapping of support tools for microservices. -- Augmented reality in teaching technological concepts: Emotions and learning in elementary school students. -- Low-Cost Signal Generator: Design and Implementation. -- Biosignal monitoring system through an interface to optimize people’s emotional well-being. -- Bibliometric mapping of scientific literature located in Scopus on predicting academic success with educational data mining. -- Hot air convection drying of Emilia apples (Malus communis) - Analysis from a Python programming perspective. -- IoT Messaging Protocols: A Hands-on Learning Experiences. -- Shift Work and Its Impact on the Sleep Quality of Hospitality Workers at a Beach in Ecuador. -- Smart Mobility Solutions: An IoT-Driven Mobile Application for Enhancing Accessibility for Individuals with Disabilities. -- Comparison of AI-Based Software Functional Testing Tools Using the AHP Method. -- Multitemporal Analysis of Psychosocial Risk Assessment in a Private Hospital in Guayaquil, Ecuador. -- Architecture design for the implementation of a water quality prediction system in aquaculture systems with big data. -- Towards Lean 4.0 Manufacturing: A Case Study from Rebar Manufacturing Process. 
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