| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An optimization approach for sustainable and resilient closed-loop floating solar photovoltaic supply chain network design
|
Nili, Maryam
|
|
|
193 |
C |
p.
|
artikel
|
| 2 |
A robust batch-to-batch optimization framework for pharmaceutical applications
|
Ghodba, Ali
|
|
|
193 |
C |
p.
|
artikel
|
| 3 |
A semi-supervised learning algorithm for high and low-frequency variable imbalances in industrial data
|
Zhu, Jiannan
|
|
|
193 |
C |
p.
|
artikel
|
| 4 |
Data-driven robust optimization for pipeline scheduling under flow rate uncertainty
|
Baghban, Amir
|
|
|
193 |
C |
p.
|
artikel
|
| 5 |
Digital twins in process engineering: An overview on computational and numerical methods
|
Peterson, Luisa
|
|
|
193 |
C |
p.
|
artikel
|
| 6 |
Editorial Board
|
|
|
|
193 |
C |
p.
|
artikel
|
| 7 |
Extracting key temporal and cyclic features from VIT data to predict lithium-ion battery knee points using attention mechanisms
|
Lee, Jaewook
|
|
|
193 |
C |
p.
|
artikel
|
| 8 |
Highly accelerated kinetic Monte Carlo models for depolymerisation systems
|
Bui Viet, Dominic
|
|
|
193 |
C |
p.
|
artikel
|
| 9 |
Methodology for hyperparameter tuning of deep neural networks for efficient and accurate molecular property prediction
|
Nguyen, Xuan Dung James
|
|
|
193 |
C |
p.
|
artikel
|
| 10 |
Prediction of viscoelastic and printability properties on binder-free TiO2-based ceramic pastes by DIW through a machine learning approach
|
Pulido-Victoria, Luis Antonio
|
|
|
193 |
C |
p.
|
artikel
|
| 11 |
Virtual sample generation for soft-sensing in small sample scenarios using glow-embedded variational autoencoder
|
Xu, Yan
|
|
|
193 |
C |
p.
|
artikel
|
Tijdschrift beschrijving