紀錄類型: |
書目-電子資源
: Monograph/item
|
正題名/作者: |
Machine learning for cyber-physical systems/ edited by Oliver Niggemann ... [et al.]. |
其他題名: |
selected papers from the International Conference ML4CPS 2023 / |
其他題名: |
ML4CPS 2023 |
其他作者: |
Niggemann, Oliver. |
出版者: |
Cham :Springer Nature Switzerland : : 2024., |
面頁冊數: |
viii, 129 p. :ill. (some col.), digital ;24 cm. |
內容註: |
Causal Structure Learning using PCMCI+ and Path Constraints from Wavelet-based Soft Interventions -- Reinforcement Learning from Human Feedback for Cyber-Physical Systems: On the Potential of Self-Supervised Pretraining -- Using ML-based Models in Simulation of CPPSs: A Case Study of Smart Meter Production -- Deploying machine learning in high pressure resin transfer molding and part post processing: a case study -- Development of a Robotic Bin Picking Approach based on Reinforcement Learning -- Control Reconfiguration of CPS via Online Identification using Sparse Regression (SINDYc) -- Using Forest Structures for Passive Automata Learning -- Domain Knowledge Injection Guidance for Predictive Maintenance -- Towards a systematic approach for Prescriptive Analytics use cases in smart factories -- Development of a standardized data acquisition prototype for heterogeneous sensor environments as a basis for ML applications in pultrusion -- A Digital Twin Design for conveyor belts predictive maintenance -- Augmenting explainable data-driven models in energy systems: A Python framework for feature engineering. |
Contained By: |
Springer Nature eBook |
標題: |
Machine learning - Congresses. - |
電子資源: |
https://doi.org/10.1007/978-3-031-47062-2 |
ISBN: |
9783031470622 |