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Search Publications by: Perawit Charoenwut (IntlAssoc)

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Displaying 1 - 5 of 5

Machine Learning Lifecycle Explorer: Leverage the lifecycle metadata (onto) logically

August 27, 2025
Author(s)
Perawit Charoenwut, Milos Drobnjakovic, Hakju Oh, Ana Nikolov, Boonserm Kulvatunyou
As machine learning (ML) continues to grow in complexity and importance, effective lifecycle management becomes a critical factor for successful model development and deployment. A key challenge is the management of metadata across the entire ML lifecycle

An Introduction to Machine Learning Lifecycle Ontology and its Applications

April 18, 2024
Author(s)
Milos Drobnjakovic, Perawit Charoenwut, Ana Nikolov, Hakju Oh, Boonserm Kulvatunyou
Machine Learning (ML) adoption is on the rapid rise, with a nearly 40% compound annual growth rate over the next decade. In other words, companies will be flooded with ML models developed with different datasets and software. The ability to have

An investigation into an approach for automated supply chain onboarding

November 21, 2023
Author(s)
Elena Jelisic, Nenad Ivezic, Boonserm Kulvatunyou, Perawit Charoenwut, Ana Nikolov
The COVID-19 pandemic has brought the cold chain for bio-pharmaceutical products to the spotlight. To preserve their structure and function, biopharmaceuticals such as cells, proteins and enzymes, RNA molecules, and RNA-based drugs (e.g., mRNA-based COVID
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