Titlebook: Artificial Intelligence for Safety and Reliability Engineering; Methods, Application Kim Phuc Tran Book 2024 The Editor(s) (if applicable)

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Lamina

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978-3-031-71497-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

好開玩笑

Lyudmila S. Shumilovskikh,Bas van Geel stage for detailed discussions in subsequent chapters. AI can deliver novel and more accurate insights compared to traditional methods in the field of Safety and Reliability Engineering. Additionally, this book addresses the importance of ensuring the safety and reliability of AI systems, which are

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使害怕

Lyudmila S. Shumilovskikh,Bas van Geelted technologies such as the Industrial Internet of Things (IIoT), artificial intelligence (AI), and machine learning. This transformation has spawned smarter, more efficient production environments that, while advantageous, have led to the emergence of complex anomalies and deviations that traditio

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表示向前

D. E. Walling,Q. He,P. G. Applebycoming a key component in their maintenance and operation. While artificial intelligence (AI) has become a powerful tool for PHM, the opaque nature of AI methods might present hurdles in their deployment for real-world PHM applications, as the lack of transparency in how these methods process and in

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D. E. Walling,Q. He,P. G. Appleby challenges and contributions in the field are summarized. Therefore, the chapter addresses different aspects of collaborative robotics and its positioning in the context of the whole robotics research. A particular focus is made on physical Human-Robot Interaction (pHRI) where different aspects are