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Titlebook: Applied Computer Sciences in Engineering; 8th Workshop on Engi Juan Carlos Figueroa-García,Yesid Díaz-Gutierrez,A Conference proceedings 20

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發(fā)表于 2025-3-21 18:06:32 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Computer Sciences in Engineering
期刊簡稱8th Workshop on Engi
影響因子2023Juan Carlos Figueroa-García,Yesid Díaz-Gutierrez,A
視頻videohttp://file.papertrans.cn/160/159703/159703.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Applied Computer Sciences in Engineering; 8th Workshop on Engi Juan Carlos Figueroa-García,Yesid Díaz-Gutierrez,A Conference proceedings 20
影響因子This volume constitutes the refereed?proceedings of the 8th Workshop on Engineering Applications, WEA 2021, held in Medellín, Colombia, in October 2021.?Due to the COVID-19 pandemic the conference was held in a hybrid mode.?.The 33 revised full papers and 11 short papers presented in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: computational intelligence; bioengineering; Internet of Things (IoT); optimization and operations research; engineering applications..
Pindex Conference proceedings 2021
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Landslide Susceptibility Model by Means of Remote Sensing Images and AutoMLate the susceptibility to mass movements, this work contains a new proposal to estimate the susceptibility to mass movements using a supervised learning algorithm designed using AutoML (Automated machine learning). Pixel-level information from Sentinel-2 multispectral images was used to train the mo
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Dynamic Recognition and Classification of Trajectories in SLRecon Adopted Artificial Intelligence in trajectories taken by the signs for further processing. Subsequently, the trajectories were considered for phases such as training, validation and testing of a neural network-based artificial intelligence algorithm. The network responsible for recognizing and classifying 5 important signs determine
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Heterogeneous Acoustic Features Space for Automatic Classification of Drone Audio Signals. An attractive solution to this problem is based on the analysis of UAV audio signals. Such approach aims to extract a set of acoustic features and to use them as inputs of machine learning algorithms. Current works on this topic are mainly focused in using a specific set of acoustic features, such
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Career Recommendation System for Validation of Multiple Intelligence to High School Studentsre tools to help students choose an upper education career by providing information about their abilities and interests. However, some of them are very difficult to apply high costs, availability, or not validated at diverse populations. Gardner’s Multiple Intelligence test is a popular test that me
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