Hybrid AI modeling techniques for pilot scale bubble column aeration: A comparative study P Jul-Rasmussen, A Chakraborty, V Venkatasubramanian, X Liang, ... Computers & Chemical Engineering 185, 108655, 2024 | 5 | 2024 |
Identifying first-principles models for bubble column aeration using machine learning P Jul-Rasmussen, A Chakraborty, V Venkatasubramanian, X Liang, ... Computer Aided Chemical Engineering 52, 1089-1094, 2023 | 3 | 2023 |
Developing robust hybrid-models P Jul-Rasmussen, X Liang, X Zhang, JK Huusom Computer Aided Chemical Engineering 52, 361-366, 2023 | 2 | 2023 |
Implementation of real-time incremental learning for ensemble hybrid model prediction in pilot scale bubble column aeration P Jul-Rasmussen, M Stevnsborg, X Liang, JK Huusom Digital Chemical Engineering 14, 100212, 2025 | | 2025 |
Scoping and Identifying Data-Driven Optimization Prospects in the Danish Processing Industry ARN Aouichaoui, BB Ernstsson, P Jul-Rasmussen, NH Iversen, L Vermue, ... Computer Aided Chemical Engineering 53, 451-456, 2024 | | 2024 |
Energy-and process real-time optimization through hybrid modeling-a case from Viking Malt A/S P Jul-Rasmussen, ARN Aouichaoui, M Korzepa, K Engelbrecht, ... Computer Aided Chemical Engineering 53, 1645-1650, 2024 | | 2024 |
Digital Chemical Engineering P Jul-Rasmussen, M Stevnsborg, X Liang, JK Huusom | | |
Incorporating First-Principles Information into Hybrid Modeling Structures: Comparing Hybrid Semi-Parametric Models with Physics-Informed Recurrent Neural Networks P Jul-Rasmussen, M Kumar, J Pinto, R Oliveira, X Liang, J Huusom Available at SSRN 5064577, 0 | | |