Zobrazeno 1 - 10
of 525
pro vyhledávání: '"Zhao, Yaoyao"'
Energy arbitrage is one of the most profitable sources of income for battery operators, generating revenues by buying and selling electricity at different prices. Forecasting these revenues is challenging due to the inherent uncertainty of electricit
Externí odkaz:
http://arxiv.org/abs/2410.20005
Powder bed fusion (PBF) is an emerging metal additive manufacturing (AM) technology that enables rapid fabrication of complex geometries. However, defects such as pores and balling may occur and lead to structural unconformities, thus compromising th
Externí odkaz:
http://arxiv.org/abs/2409.12785
Various machine learning (ML)-based in-situ monitoring systems have been developed to detect anomalies and defects in laser additive manufacturing (LAM) processes. While multimodal fusion, which integrates data from visual, audio, and other modalitie
Externí odkaz:
http://arxiv.org/abs/2408.05307
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in these works consists of AM and Artificial Intelligence (AI) contexts t
Externí odkaz:
http://arxiv.org/abs/2407.18827
Autor:
Xie, Jiarui, Safdar, Mutahar, Mircea, Andrei, Zhao, Bi Cheng, Lu, Yan, Ko, Hyunwoong, Yang, Zhuo, Zhao, Yaoyao Fiona
Machine learning (ML)-based cyber-physical systems (CPSs) have been extensively developed to improve the print quality of additive manufacturing (AM). However, the reproducibility of these systems, as presented in published research, has not been tho
Externí odkaz:
http://arxiv.org/abs/2407.04031
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in these works consists of AM and Artificial Intelligence (AI) contexts t
Externí odkaz:
http://arxiv.org/abs/2309.06286
The design dataset is the backbone of data-driven design. Ideally, the dataset should be fairly distributed in both shape and property spaces to efficiently explore the underlying relationship. However, the classical experimental design focuses on sh
Externí odkaz:
http://arxiv.org/abs/2309.05842
Dispatching strategies for gas turbines (GTs) are changing in modern electricity grids. A growing incorporation of intermittent renewable energy requires GTs to operate more but shorter cycles and more frequently on partial loads. Deep reinforcement
Externí odkaz:
http://arxiv.org/abs/2308.14924
Autor:
Cherif, Lynn, Safdar, Mutahar, Lamouche, Guy, Wanjara, Priti, Paul, Padma, Wood, Gentry, Zimmermann, Max, Hannesen, Florian, Zhao, Yaoyao Fiona
Recent applications of machine learning in metal additive manufacturing (MAM) have demonstrated significant potential in addressing critical barriers to the widespread adoption of MAM technology. Recent research in this field emphasizes the importanc
Externí odkaz:
http://arxiv.org/abs/2308.14861
Autor:
Safdar, Mutahar, Li, Yi Fan, El Haddad, Randy, Zimmermann, Max, Wood, Gentry, Lamouche, Guy, Wanjara, Priti, Zhao, Yaoyao Fiona
Publikováno v:
In Expert Systems With Applications 1 October 2024 251
