13 citations · 26 across the 10 of their papers we have counts for
4 papers · 1 filter
Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting
Manuel Sage, Joshua Campbell, Yaoyao Fiona Zhao
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…
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Jiarui Xie, Mutahar Safdar, Lequn Chen +2
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…
Human-artificial intelligence teaming for scientific information extraction from data-driven additive manufacturing research using large language models
Mutahar Safdar, Jiarui Xie, Andrei Mircea +1
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…
Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing
Jiarui Xie, Mutahar Safdar, Andrei Mircea +5
Machine learning (ML)-based cyber-physical systems (CPSs) have been extensively developed to improve the print quality of additive manufacturing (AM). However, the reproducibility…