Spatial crowdsourcing platforms enable efficient task assignment based on the geographical locations of workers. However, ensuring the privacy of users' location data poses a significant challenge. This paper intr...
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The manufacturing industry is currently experiencing a wave of digitalization and intelligent transformation. With continuous upgrades of production equipment and systems, the complexity and diversity of production li...
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This article focuses on analyzing the impact of productive service industry on the transformation and upgrading of China's manufacturing industry, especially the role of technology-intensive service industries suc...
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Aiming at the needs of multi-agent confrontation games in the complex wide-area environment at sea, this paper proposes a multi-agent construction idea driven by knowledge rules and data learning, and designs a hybrid...
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The digital age has created various channels for the sustainable development of traditional culture. A Neo4j-based knowledge graph for Tujia Intangible cultural heritage music was constructed to address the potential ...
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The proceedings contain 106 papers. The special focus in this conference is on Flexible Automation and Intelligent manufacturing. The topics include: Using Applied Machine Learning to Detect Cyber-Security Threats in ...
ISBN:
(纸本)9783031744846
The proceedings contain 106 papers. The special focus in this conference is on Flexible Automation and Intelligent manufacturing. The topics include: Using Applied Machine Learning to Detect Cyber-Security Threats in Industrial IoT Devices;concrete Fault Detection Using Deep Learning: Towards Waste Reduction in Bridge Inspection;a Hybrid Model for Solder Joint Height Prediction Based on Physical knowledge and Machine Learning;OS4ML: Open Space for Machine Learning;Deep Hierarchical Reinforcement Learning CMP Run to Run Control;a Physics-Informed Machine Learning Model for Mounting Optimization in Printed Circuit Boards;disassembly Work Analysis Using Motion Capture and Machine Learning;through the Lens of Explainability: Enhancing Trust in Remaining Useful Life Prognosis Models;discovering Dispatching Rules in a Semiconductor Fab Using Interpretable Machine Learning;digital Twin System Framework for Gripping Deformable Objects with Synthetic data and Reinforcement Learning;setup Operation Time Estimation System for the Adoption of Cyber-Physical systems in High-Mix Low-Volume Production;Defining Scalable data Models for Operational data Integration in manufacturing Processes Within the Digital Product Passport Framework Through OPC UA and Asset Administration Shell;cybersecurity Awareness in Critical Sectors – a Systematic Literature Review;Digifacturing: Strategically Redefining manufacturing for Micro-SMEs;designing a Resilient Hybrid-Modeled Digital Twin for Reliable manufacturing Processes;Reusage of Extended Digital Twins from Virtual Commissioning for Dynamics-Based Trajectory Planning in CNC Controlled Robotics;RECAST: An Open-Source Digital Twin Framework for Industrial Production Environments;extension of the X-in-the-Loop Simulation with a Mixed Reality Method by a Co-Simulation;data Fabric: A Concept for Enhancing data Management in manufacturing;toward Digital Twin Conceptualization in Complex Operations Environments;design of a Digital Twin to Optimize
As products become more sophisticated and requirements for superior quality levels become more stringent, the complexity inherent in manufacturingsystems increases significantly. In particular, the accuracy of predic...
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The ongoing digitalisation of manufacturing shop floors generates an abundance of valuable data, providing novel opportunities for real-time monitoring of performance data. Digital dashboards, equipped with technology...
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VoIP technology has evolved as a critical communication tool, allowing phone calls to be made over the internet and transforming traditional telephony. The purpose of this work is to explore the implementation and per...
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In recent years, we have witnessed the growing interest from academia and industry in applying data science technologies to analyze large amounts of data. In this process, a myriad of artifacts (datasets, pipeline scr...
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