E-LIB Suche - Ergebnisse für: Offermans, Tim

1

Process expert knowledge is essential in creating value fro..:

Offermans, Tim ; Szymańska, Ewa ; Souza, Francisco A.A..
Computers & Chemical Engineering. 183 (2024) - p. 108602 , 2024

Link: https://doi.org/10.1016/..

2

Data-driven sensor delay estimation in industrial processes..:

Offermans, Tim ; van Son, Bente ; Bertinetto, Carlo G....
Chemometrics and Intelligent Laboratory Systems. 246 (2024) - p. 105090 , 2024

Link: https://doi.org/10.1016/..

3

Predicting Animal Welfare Labels from Pork Fat Using Raman ..:

Szykuła, Katarzyna M. ; Offermans, Tim ; Lischtschenko, Oliver...
AppliedChem. 3 (2023) 2 - p. 279-289 , 2023

Link: https://doi.org/10.3390/..

4

Monitoring pollution pathways in river water by predictive ..:

Cairoli, Maria ; van den Doel, André ; Postma, Berber...
npj Clean Water. 6 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

5

Contextual Mixture of Experts: Integrating Knowledge into P..:

Souza, Francisco ; Offermans, Tim ; Barendse, Ruud..
IEEE Transactions on Industrial Informatics. 19 (2023) 8 - p. 9048-9059 , 2023

Link: https://doi.org/10.1109/..

6

Retrospective quality by design r(QbD) for lactose producti..:

Galvis, Leonardo ; Offermans, Tim ; Bertinetto, Carlo G....
Computers in Industry. 141 (2022) - p. 103696 , 2022

Link: https://doi.org/10.1016/..

7

Batch Endpoint Prediction using Local Mixture of Batch Time..:

, In: 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE),

Souza, Francisco ; Offermans, Tim ; Jansen, Jeroen - p. 613-617 , 2022

Link: https://doi.org/10.1109/..

8

ENDBOSS: Industrial endpoint detection using batch-specific..:

Offermans, Tim ; Wijker, Terry-Hale ; Folcarelli, Rita...
Chemometrics and Intelligent Laboratory Systems. 209 (2021) - p. 104229 , 2021

Link: https://doi.org/10.1016/..

9

Automatically optimizing dynamic synchronization of individ..:

Offermans, Tim ; Szymańska, Ewa ; van Kolllenburg, Geert H...
Computers & Chemical Engineering. 152 (2021) - p. 107402 , 2021

Link: https://doi.org/10.1016/..

10

Process PLS: Incorporating substantive knowledge into the p..:

van Kollenburg, Geert ; Bouman, Roel ; Offermans, Tim...
Computers & Chemical Engineering. 154 (2021) - p. 107466 , 2021

Link: https://doi.org/10.1016/..

11

Improved Understanding of Industrial Process Relationships ..:

Offermans, Tim ; Hendriks, Lynn ; van Kollenburg, Geert H....
Frontiers in Analytical Science. 1 (2021) - p. , 2021

Link: https://doi.org/10.3389/..

12

Synchronizing process variables in time for industrial proc..:

Offermans, Tim ; Szymańska, Ewa ; Buydens, Lutgarde M.C..
Computers & Chemical Engineering. 140 (2020) - p. 106938 , 2020

Link: https://doi.org/10.1016/..

13

Monitoring pollution pathways in river water by predictive ..:

Cairoli, Maria ; Doel, André van den ; Postma, Berber...
http://arxiv.org/abs/2207.04805. , 2022

Link: http://arxiv.org/abs/220..

14

Contextual Mixture of Experts: Integrating Knowledge into P..:

Souza, Francisco ; Offermans, Tim ; Barendse, Ruud..
http://arxiv.org/abs/2211.00558. , 2022

Link: http://arxiv.org/abs/221..

15

Process PLS: Incorporating substantive knowledge into the p..:

van Kollenburg, Geert ; Bouman, Roel ; Offermans, Tim...
van Kollenburg , G , Bouman , R , Offermans , T , Gerretzen , J , Buydens , L , van Manen , H-J & Jansen , J 2021 , ' Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data ' , Computers and Chemical Engineering , vol. 154 , 107466 . https://doi.org/10.1016/j.compchemeng.2021.107466. , 2021

Link: https://research.tue.nl/..