2 citations · 5 across the 6 of their papers we have counts for
6 papers
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…
Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning
Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis
A methodology is proposed, which addresses the caveat that line-of-sight emission spectroscopy presents in that it cannot provide spatially resolved temperature measurements in non…
Flame-state monitoring based on very low number of visible or infrared images via few-shot learning
Ruiyuan Kang, Panos Liatsis, Dimitrios C. Kyritsis
The current success of machine learning on image-based combustion monitoring is based on massive data, which is costly even impossible for industrial applications. To address this…
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling
Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis
Physics-based inverse modeling techniques are typically restricted to particular research fields, whereas popular machine-learning-based ones are too data-dependent to guarantee th…