標題: Titlebook: Machine Learning for Cyber-Physical Systems; Selected papers from Oliver Niggemann,Jürgen Beyerer,Christian Kühnert Conference proceedings‘ [打印本頁] 作者: 鏟除 時間: 2025-3-21 16:11
書目名稱Machine Learning for Cyber-Physical Systems影響因子(影響力)
書目名稱Machine Learning for Cyber-Physical Systems影響因子(影響力)學科排名
書目名稱Machine Learning for Cyber-Physical Systems網(wǎng)絡(luò)公開度
書目名稱Machine Learning for Cyber-Physical Systems網(wǎng)絡(luò)公開度學科排名
書目名稱Machine Learning for Cyber-Physical Systems被引頻次
書目名稱Machine Learning for Cyber-Physical Systems被引頻次學科排名
書目名稱Machine Learning for Cyber-Physical Systems年度引用
書目名稱Machine Learning for Cyber-Physical Systems年度引用學科排名
書目名稱Machine Learning for Cyber-Physical Systems讀者反饋
書目名稱Machine Learning for Cyber-Physical Systems讀者反饋學科排名
作者: 沉著 時間: 2025-3-21 20:53 作者: 對待 時間: 2025-3-22 01:46 作者: MUMP 時間: 2025-3-22 04:55
,Using ML-Based Models in?Simulation of?CPPSs: A Case Study of?Smart Meter Production, costly process. This paper describes an approach which uses: 1) recorded data to automatically learn timed automata models of system components; and 2) manual logic based on prior knowledge that extends and enables the utilization of the learned models for simulation. Experiments in a smart meter p作者: Misgiving 時間: 2025-3-22 09:35 作者: Felicitous 時間: 2025-3-22 14:01
,Development of?a?Robotic Bin Picking Approach Based on Reinforcement Learning,r decades, there is still a gap between research and industrial application. The presented work intends to improve the utilization of bin picking for the industrial manufacturing of electrotechnical components. In this context, the development process of a system approach based on machine learning i作者: Enthralling 時間: 2025-3-22 17:05
,Control Reconfiguration of?CPS via?Online Identification Using Sparse Regression (SINDYc),ation of the system are crucial. This paper proposes a method for controlling reconfiguration by identifying faults in cyber-physical systems online. The approach utilizes sparse regression (SINDYc) to identify the system dynamics, including faults, and adjusts the control law accordingly by leverag作者: intention 時間: 2025-3-23 00:25 作者: addition 時間: 2025-3-23 04:39
,Domain Knowledge Injection Guidance for?Predictive Maintenance, Unique challenges that often occur in real-time manufacturing environments require the use of domain knowledge from different experts. However, there is hardly any guidance that suggests data scientists how to inject knowledge from predictive maintenance use cases in machine learning models. This p作者: lethargy 時間: 2025-3-23 07:24 作者: Collected 時間: 2025-3-23 11:50 作者: 攝取 時間: 2025-3-23 17:03
,A Digital Twin Design for?Conveyor Belts Predictive Maintenance,sults that can be used reliably in terms of data quality. One of the ways to obtain data from the system is through the development of a digital twin. Therefore, a digital twin design might be of key value for the predictive maintenance of systems enabling the simulation of the system’s performance,作者: dissent 時間: 2025-3-23 20:52
,Augmenting Explainable Data-Driven Models in?Energy Systems: A Python Framework for?Feature Engineeh as linear regression, neural networks or decision-tree based methods are applied. While these methods do not require domain knowledge, they are sensitive to data quality. Therefore, improving data quality in a dataset is beneficial for creating machine learning-based models. The improvement of dat作者: anthesis 時間: 2025-3-23 23:01 作者: ellagic-acid 時間: 2025-3-24 03:23 作者: tenuous 時間: 2025-3-24 08:22 作者: FLAGR 時間: 2025-3-24 12:19 作者: 調(diào)色板 時間: 2025-3-24 14:51
Conference proceedings‘‘‘‘‘‘‘‘ 2024, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments..This is an open access book..作者: anthropologist 時間: 2025-3-24 22:31 作者: Vital-Signs 時間: 2025-3-25 01:46 作者: POWER 時間: 2025-3-25 06:37 作者: Perennial長期的 時間: 2025-3-25 10:22
,Domain Knowledge Injection Guidance for?Predictive Maintenance, gives a recommendation to data scientists on how domain knowledge can be injected into different phases of model development and suggests promising machine learning models for specific use cases. The guidance is applied exemplarily to two predictive maintenance use cases.作者: degradation 時間: 2025-3-25 15:29 作者: Receive 時間: 2025-3-25 19:47 作者: 開頭 時間: 2025-3-25 23:03 作者: surrogate 時間: 2025-3-26 04:12 作者: 課程 時間: 2025-3-26 05:30 作者: 后來 時間: 2025-3-26 09:30 作者: 外科醫(yī)生 時間: 2025-3-26 14:38 作者: 反話 時間: 2025-3-26 19:18
,Control Reconfiguration of?CPS via?Online Identification Using Sparse Regression (SINDYc),rates possible faults. In the event of an actuator fault, the identified model is used to reconfigure the control using the Pseudo-Inverse method, optimizing the utilization of available redundancies. Both abrupt and incipient faults in the actuator dynamics are considered in this study..The online 作者: groggy 時間: 2025-3-27 00:42 作者: Recessive 時間: 2025-3-27 01:28 作者: 懦夫 時間: 2025-3-27 05:34 作者: heart-murmur 時間: 2025-3-27 12:44 作者: 棲息地 時間: 2025-3-27 15:19
Josephine Rehak,Alexander Falkenstein,Jürgen Beyerer作者: 錯事 時間: 2025-3-27 18:05 作者: Ligneous 時間: 2025-3-27 23:12
Jasper Steffens,Robin Kühnast-Benedikt,Florian Leber,Philipp Rosenberg,Frank Henning作者: 假設(shè) 時間: 2025-3-28 02:43 作者: 停止償付 時間: 2025-3-28 09:23 作者: 減弱不好 時間: 2025-3-28 13:52 作者: MANIA 時間: 2025-3-28 15:33 作者: 熱心 時間: 2025-3-28 22:28 作者: 細胞膜 時間: 2025-3-29 00:27
2522-8579 ion monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments..This is an open access book..978-3-031-47061-5978-3-031-47062-2Series ISSN 2522-8579 Series E-ISSN 2522-8587 作者: Flirtatious 時間: 2025-3-29 04:08 作者: Asymptomatic 時間: 2025-3-29 07:33
Stephen P. Coburne informatiebronnen. In een aantal hoofdstukken zijn intermezzo’s geplaatst met achtergrondinformatie over het behandelde onderwerp..Deze uitgave is primair bedoeld als leerboek voor studenten in de tandheelkun978-90-368-0386-1978-90-368-0387-8作者: Blood-Clot 時間: 2025-3-29 12:01
https://doi.org/10.1007/978-3-642-94353-9Arbeit; Erfindung; Freiheit; Krieg; Patent; Patentgesetz; Patentrecht; Praxis; Sch?nheit作者: 假 時間: 2025-3-29 16:38 作者: 窗簾等 時間: 2025-3-29 22:59
Au?enpolitik bis Anfang der 60er Jahre Israel gegenüber so gut wie gar nicht in Erscheinung, erst nach dem Sechs-Tage-Krieg des Jahres 1967, genauer: nach der Verh?ngung des franz?sischen Waffenembargos durch Pr?sident de Gaulle, kann von einer intensiven Sicherheitspartnerschaft zwischen den Vereinigten Staaten und Israel gesprochen werden.
