標題: Titlebook: Artificial Intelligence for Safety and Reliability Engineering; Methods, Application Kim Phuc Tran Book 2024 The Editor(s) (if applicable) [打印本頁] 作者: OBESE 時間: 2025-3-21 19:57
書目名稱Artificial Intelligence for Safety and Reliability Engineering影響因子(影響力)
書目名稱Artificial Intelligence for Safety and Reliability Engineering影響因子(影響力)學科排名
書目名稱Artificial Intelligence for Safety and Reliability Engineering網(wǎng)絡公開度
書目名稱Artificial Intelligence for Safety and Reliability Engineering網(wǎng)絡公開度學科排名
書目名稱Artificial Intelligence for Safety and Reliability Engineering被引頻次
書目名稱Artificial Intelligence for Safety and Reliability Engineering被引頻次學科排名
書目名稱Artificial Intelligence for Safety and Reliability Engineering年度引用
書目名稱Artificial Intelligence for Safety and Reliability Engineering年度引用學科排名
書目名稱Artificial Intelligence for Safety and Reliability Engineering讀者反饋
書目名稱Artificial Intelligence for Safety and Reliability Engineering讀者反饋學科排名
作者: Largess 時間: 2025-3-21 21:57 作者: lethargy 時間: 2025-3-22 03:53
D. E. Walling,Q. He,P. G. ApplebyHRC), defined as a key task of human-robot object co-manipulation, is deeply addressed. The importance of collaboration quality evaluation is addressed in this chapter as well, and how this field of pHRC can be considered as a part of the human-centered robotics field thanks to its impact on human beings.作者: conscience 時間: 2025-3-22 05:02 作者: nitric-oxide 時間: 2025-3-22 12:48
Human Robot Collaboration,HRC), defined as a key task of human-robot object co-manipulation, is deeply addressed. The importance of collaboration quality evaluation is addressed in this chapter as well, and how this field of pHRC can be considered as a part of the human-centered robotics field thanks to its impact on human beings.作者: analogous 時間: 2025-3-22 13:34
1614-7839 and more effective accident prevention in smart manufacturin.This book is a comprehensive exploration of the latest theoretical research, technological advancements, and real-world applications of artificial intelligence (AI) for safety and reliability engineering...Smart manufacturing relies on pre作者: Malcontent 時間: 2025-3-22 17:14
Lyudmila S. Shumilovskikh,Bas van Geelf Safety and Reliability Engineering. Additionally, this book addresses the importance of ensuring the safety and reliability of AI systems, which are integral to the Industry 5.0 revolution. We will introduce critical topics that will be explored in the following chapters of the book.作者: Euphonious 時間: 2025-3-22 21:26
Introduction to Artificial Intelligence for Safety and Reliability Engineering,f Safety and Reliability Engineering. Additionally, this book addresses the importance of ensuring the safety and reliability of AI systems, which are integral to the Industry 5.0 revolution. We will introduce critical topics that will be explored in the following chapters of the book.作者: Vldl379 時間: 2025-3-23 05:10 作者: 四牛在彎曲 時間: 2025-3-23 08:07
Predictive Maintenance Optimization Based on Genetic Algorithms for Future Industrial Systems, optimization approach based on Genetic Algorithms (GA) for FIS that considers all the above challenges. Then, we illustrate the application of this approach for maintenance optimization of a 16-component system in both normal and dynamic situations where the system structure is changed due to reconfiguration.作者: antidote 時間: 2025-3-23 12:06 作者: Dorsal 時間: 2025-3-23 14:20
Introduction to Artificial Intelligence for Safety and Reliability Engineering, 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作者: BRAWL 時間: 2025-3-23 18:25
Physics-Informed Machine Learning for Industrial Reliability and Safety Engineering: A Review and Penhance the reliability and safety of complex industrial systems. Traditional methods in reliability engineering often rely on physics-based models, which, despite their robustness, face limitations when dealing with highly complex systems involving multiple interacting scales and incomplete knowled作者: 議程 時間: 2025-3-24 00:27 作者: babble 時間: 2025-3-24 03:15
,Anomaly Detection for?Catalyzing Operational Excellence in?Complex Manufacturing Processes: A Surveted 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作者: STEER 時間: 2025-3-24 10:20 作者: Indict 時間: 2025-3-24 11:30
,Enhancing Trustworthiness in?AI-Based Prognostics: A Comprehensive Review of?Explainable AI for?PHMcoming 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作者: jeopardize 時間: 2025-3-24 16:33 作者: Harridan 時間: 2025-3-24 19:10 作者: 綠州 時間: 2025-3-24 23:43 作者: Flavouring 時間: 2025-3-25 05:20 作者: Lamina 時間: 2025-3-25 07:56 作者: padding 時間: 2025-3-25 13:09
978-3-031-71497-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 好開玩笑 時間: 2025-3-25 16:56
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作者: 仲裁者 時間: 2025-3-25 23:25 作者: Microgram 時間: 2025-3-26 02:59 作者: 使害怕 時間: 2025-3-26 06:32
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作者: Noctambulant 時間: 2025-3-26 09:02 作者: 表示向前 時間: 2025-3-26 16:10
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作者: 遵循的規(guī)范 時間: 2025-3-26 19:04
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作者: Blazon 時間: 2025-3-27 00:40 作者: CLAY 時間: 2025-3-27 02:31
John Desmond Bernal and “Bernalism”s the importance of its safety and reliability. AI’s role in Industry 4.0, connecting machines and processes to solve complex issues, is paving the way for the 5.0 Industrial Revolution (5IR). This revolution addresses global challenges such as climate change, pandemics, and conflicts. Ensuring the 作者: FEAT 時間: 2025-3-27 07:25 作者: 窗簾等 時間: 2025-3-27 11:32
Springer Series in Reliability Engineeringhttp://image.papertrans.cn/b/image/167583.jpg作者: Crumple 時間: 2025-3-27 16:08 作者: 代替 時間: 2025-3-27 19:47 作者: 核心 時間: 2025-3-27 23:49 作者: 勤勞 時間: 2025-3-28 04:24 作者: Intersect 時間: 2025-3-28 07:22 作者: 植物學 時間: 2025-3-28 13:15
Artificial Intelligence for Safety and Reliability EngineeringMethods, Application作者: morale 時間: 2025-3-28 16:39
1614-7839 plications, and case studies, it equips readers with the necessary knowledge and tools to implement AI for safety and reliability engineering effectively in smart manufacturing contexts..978-3-031-71497-9978-3-031-71495-5Series ISSN 1614-7839 Series E-ISSN 2196-999X 作者: Veneer 時間: 2025-3-28 22:35
Lyudmila S. Shumilovskikh,Bas van Geelng simple data storage and analysis, the proposed approach links data directly to operational processes, allowing for a deeper understanding of end-to-end manufacturing activities. This not only speeds up the detection of anomalies but also aids in pinpointing the process parameters that cause quali作者: micronized 時間: 2025-3-29 00:13
Identification of Natural Fiberszing performance and predictive maintenance. By leveraging these technologies, smart factories can achieve higher efficiency, safety, and sustainability, thus aligning with the human-centric in the 5.0 revolution.
