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Titlebook: Optimization, Learning Algorithms and Applications; Third International Ana I. Pereira,Armando Mendes,José Lima Conference proceedings 202

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发表于 2025-3-21 19:06:00 | 显示全部楼层 |阅读模式
书目名称Optimization, Learning Algorithms and Applications
副标题Third International
编辑Ana I. Pereira,Armando Mendes,José Lima
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Optimization, Learning Algorithms and Applications; Third International  Ana I. Pereira,Armando Mendes,José Lima Conference proceedings 202
描述.This two-volume set CCIS 1981 and 1982 constitutes the refereed post-conference proceedings of the Third International Conference on Optimization, Learning Algorithms and Applications, OL2A 2023, held in Ponta Delgada, Portugal, in September 2023..The 66 revised full papers presented in these proceedings were carefully reviewed and selected from 162 submissions. The papers are organized in the following topical sections:.Volume I:.Machine learning; learning algorithms in engineering education; machine learning and data analysis in internet of things; optimization; optimization in the SDG context..Volume II:.Computer vision based on learning algorithms; machine learning and AI in robotics; optimization in control systems design..
出版日期Conference proceedings 2024
关键词artificial intelligence; classification; computer networks; computer systems; computer vision; correlatio
版次1
doihttps://doi.org/10.1007/978-3-031-53025-8
isbn_softcover978-3-031-53024-1
isbn_ebook978-3-031-53025-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 21:37:03 | 显示全部楼层
Optimization, Learning Algorithms and ApplicationsThird International
发表于 2025-3-22 02:04:56 | 显示全部楼层
A YOLO-Based Insect Detection: Potential Use of Small Multirotor Unmanned Aerial Vehicles (UAVs) Moning it possible to correctly highlight the set of Bactrocera oleae in different prediction models. The presented results in this research demonstrate that with the introduction of data augmentation and auto label techniques on the set of images of Bactrocera oleae, it was possible to arrive at a pre
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A Comparison of Fiducial Markers Pose Estimation for UAVs Indoor Precision Landingeasurements performed through the ArUco marker. Future work will be devoted to using the ArUco marker to perform precision landing on a mobile robotic platform, considering the necessary adjustments to lessen the impact of errors intrinsic to detecting the fiducial marker during the landing procedur
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Effect of Weather Conditions and Transactions Records on Work Accidents in the Retail Sector – A Cascurrence of work accidents with weather conditions and some transactions pointed out the nonexistence of correlation between the data. Evaluating the precision and the confusion matrix of the predictive models, the study indicates a predisposition of the models to predict the non-occurrence of work
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Federated Learning for Credit Scoring Model Using Blockchainmodelling. The main goal is to provide a platform for distributed machine learning that several financial institutions could leverage on without having the need to exchange real customer or product data and without the requirement to trust each other. To further improve the security of the federated
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AquaVitae: Innovating Personalized Meal Recommendations for Enhanced Nutritional Healthophisticated data collection and innovative food recommendations underscores the potential of our system to improve the process of nutritional counseling and the generation of nutritional plans, bringing notable benefits to both practitioners and clients alike.
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Barriers to Organizations to Adopt Digital Transformation for Driving Eco-Innovation and Sustainablecantly impede organizations’ efforts to drive eco-innovation and sustainable performance. The article concludes by proposing avenues for future research and practical implications for organizations seeking to overcome these barriers. This contributes to the literature on digital transformation, eco-
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