1 citations · 3 across the 4 of their papers we have counts for
4 papers
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
Ruiyuan Kang, Tingting Mu, Panos Liatsis +1
When deploying machine learning estimators in science and engineering (SAE) domains, it is critical to avoid failed estimations that can have disastrous consequences, e.g., in aero…
A Semantic-driven Approach for Maintenance Digitalization in the Pharmaceutical Industry
Ju Wu, Xiaochen Zheng, Marco Madlena +1
The digital transformation of pharmaceutical industry is a challenging task due to the high complexity of involved elements and the strict regulatory compliance. Maintenance activi…
EEE, Remediating the failure of machine learning models via a network-based optimization patch
Ruiyuan Kang, Dimitrios Kyritsis, Panos Liatsis
A network-based optimization approach, EEE, is proposed for the purpose of providing validation-viable state estimations to remediate the failure of pretrained models. To improve o…
Comparative analysis of five NH/air oxidation mechanisms
Shahid Rabbani, Dimitris M. Manias, Dimitrios C. Kyritsis +1
Five recently developed chemical kinetics mechanisms for ammonia oxidation are analysed and compared, in the context of homogeneous adiabatic autoignition. The analysis focuses on…