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Titlebook: Advances in Artificial Intelligence in Manufacturing; Proceedings of the 1 Achim Wagner,Kosmas Alexopoulos,Sotiris Makris Conference procee

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發(fā)表于 2025-3-21 16:04:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Advances in Artificial Intelligence in Manufacturing
期刊簡(jiǎn)稱(chēng)Proceedings of the 1
影響因子2023Achim Wagner,Kosmas Alexopoulos,Sotiris Makris
視頻videohttp://file.papertrans.cn/168/167212/167212.mp4
發(fā)行地址Reports on AI methods for manufacturing process monitoring, optimization and control.Covers advances in human-robot collaboration.Gives a special emphasis to industrially-relevant solutions
學(xué)科分類(lèi)Lecture Notes in Mechanical Engineering
圖書(shū)封面Titlebook: Advances in Artificial Intelligence in Manufacturing; Proceedings of the 1 Achim Wagner,Kosmas Alexopoulos,Sotiris Makris Conference procee
影響因子.This book reports on?recent developments of artificial intelligence applications in the manufacturing industry.?Gathering contributions to the first?European Symposium on Artificial Intelligence in Manufacturing, held on September 19, 2023, in Kaiserslautern, Germany, it reports on machine learning models and algorithms for systems monitoring and industrial data management, on advances in human-robot collaboration, and on artificial intelligence applications in industrial control and process monitoring. Giving a special emphasis to the integration of artificial intelligence in manufacturing systems and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, software developers and industrial managers..
Pindex Conference proceedings 2024
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On Bringing Fault Detection to Skill-Based Productionill model. Finally, the elaborated model is prototypically implemented in a realistic demonstration environment to come up with a proof of concept. Since it is difficult to directly model faulty behavior of Cyber-Physical Production Modules in flexible production their nominal behavior during the ex
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Towards an Advanced Artificial Intelligence Architecture Through Asset Administration Shell and Indu. The article also explores specific Artificial Intelligence technologies with a wide application in industrial environments. In particular, the study has focused on research into Low/No Code, Explainability (XAI) tools and incremental learning algorithms. The contributions of this paper are summari
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Detection of Rare Fault Cases for Mobile Robot Applicationsg special knowledge of the internal system behavior. The procedure was implemented and tested on a mobile robot for factory-internal transport processes. With little training data, a binary classification for elementary fault detection. The method can easily be adapted to other cases of dynamical sy
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Enhancing Object Detection Performance for Small Objects Through Synthetic Data Generation and Propon. This paper discusses the effects of a simple proportional class-balancing technique, to enable better anchor matching of the OD models. A comparison was carried out on the performances of the SOTA OD models: YOLOv5, YOLOv7 and SSD, for combinations of real and synthetic datasets within an industr
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Use of Artificial Intelligence at the Level of Manufacturing Processesexamples from both conventional and non-conventional processes are considered, as well as focused illustrations of the possibilities that AI technologies can offer. In addition, the different manufacturing attributes, as guided by different strategies, are discussed in the context of the aforementio
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