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Titlebook: Artificial Intelligence and Industrial Applications; Smart Operation Mana Tawfik Masrour,Ibtissam El Hassani,Noureddine Bark Conference pro

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發(fā)表于 2025-3-21 16:42:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence and Industrial Applications
期刊簡(jiǎn)稱Smart Operation Mana
影響因子2023Tawfik Masrour,Ibtissam El Hassani,Noureddine Bark
視頻videohttp://file.papertrans.cn/163/162217/162217.mp4
發(fā)行地址Covers recent research on artificial intelligence techniques for cyber-physical and digital twin systems.Includes the proceedings of the Artificial Intelligence & Industrial Applications (A2IA2023).Wr
學(xué)科分類Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: Artificial Intelligence and Industrial Applications; Smart Operation Mana Tawfik Masrour,Ibtissam El Hassani,Noureddine Bark Conference pro
影響因子.Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications..Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization..A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI‘s current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice..Designed for a di
Pindex Conference proceedings 2023
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Karina Kohl,Rafael Prikladnickis optimization and informed decision-making. Although several machine learning methods have been employed to forecast KPIs, their real-time predictive capabilities remain underutilized. This paper presents a novel framework for real-time monitoring and prediction of manufacturing system KPIs, focusi
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Breaking the Glass Floor for Women in Tech revenue globally. Blockchain technology (BT) can digitize the tracking of physical assets from production to delivery or until customer. It provides greater product history and transparency. This creates a decentralized and immutable record of all transactions, which provides more visibility to bot
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James Tizard,Tim Rietz,Kelly Blincoeerent approaches that have been developed in order to overcome this issue, some limits are still present. It is in this context that a new AM process selection approach is presented. The originality resides in the fact of basing the proposed approach on fuzzy ontologies which automates the decision
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Erfolgreich auf Online-Marktpl?tzenult problems in this area. In fact, this problem is a generalized and more complicated variant of the classical job-shop that introduces an additional decision level known as the assignment sub-problem in addition to the sequencing sub-problem. In this paper, we study the flexible job-shop schedulin
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https://doi.org/10.1007/978-3-658-46154-6ent on expert domain expertise. In this manner, decision-making performance cannot be assured, nor can the dynamic scheduling demand in the job-shop production environment be met. Therefore, Dynamic Job Shop Scheduling Problems (DJSSPs) have received increased interest from researchers in recent dec
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