Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"science-guided machine learning"”.
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Science Guided Machine Learning: Incorporating Scientific Domain Knowledge for Learning Under Data Paucity and Noisy Contexts
… amount of labeled data available has helped tend machine learning (ML) research toward using purely data driven end-to-end pipelines, e.g., in deep neural network research. However, in many situations, data is limited and of poor quality. Traditional ML pipelines are known to be susceptible to …
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Integrated Process Modeling and Data Analytics for Optimizing Polyolefin Manufacturing
… in a complex system. Data analytics and machine learning (ML) have been applied in the chemical process industry for accurate predictions for data-based soft sensors and process monitoring/control. Specifically, for polymer processes, they are very useful since the polymer quality …
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Towards interactive analytics over voluminous spatiotemporal data using a distributed, in-memory framework
… the potential of leveraging various transfer learning techniques to improve the turn-around times of our memory-resident deep learning models, given the voluminous nature of our datasets, while maintaining good overall accuracy over its entire spatiotemporal domain. Additionally, our research …