3 papers
cs.LG2025
Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review
Johnny Peng, Thanh Tung Khuat, Katarzyna Musial +1
Data is crucial for machine learning (ML) applications, yet acquiring large datasets can be costly and time-consuming, especially in complex, resource-intensive fields like biophar…
cs.AI2024
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…
cs.LG2024
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…