336 citations · 764 across the 37 of their papers we have counts for
4 papers · 1 filter
Deep Reinforcement Learning for Digital Twin-Oriented Complex Networked Systems
Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial
The Digital Twin Oriented Complex Networked System (DT-CNS) aims to build and extend a Complex Networked System (CNS) model with progressively increasing dynamics complexity toward…
Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production
Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabrys
This paper addresses the challenges of predicting bioprocess performance, particularly in monoclonal antibody (mAb) production, where conventional statistical methods often fall sh…
Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes
Thanh Tung Khuat, Robert Bassett, Ellen Otte +1
Biopharmaceutical products, particularly monoclonal antibodies (mAbs), have gained prominence in the pharmaceutical market due to their high specificity and efficacy. As these prod…
Transfer Learning and the Early Estimation of Single-Photon Source Quality using Machine Learning Methods
David Jacob Kedziora, Anna Musiał, Wojciech Rudno-Rudziński +1
The use of single-photon sources (SPSs) is central to numerous systems and devices proposed amidst a modern surge in quantum technology. However, manufacturing schemes remain imper…