E-LIB Suche - Ergebnisse für: Kulahci, Murat

1

Condition monitoring of wind turbine faults: Modeling and s..:

Hansen, Henrik Hviid ; MacDougall, Neil ; Jensen, Christopher Dam..
Applied Mathematical Modelling. 130 (2024) - p. 160-174 , 2024

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

2

An extension of PARAFAC to analyze multi-group three-way da..:

Rotari, Marta ; Diaz, Valeria Fonseca ; De Ketelaere, Bart.
Chemometrics and Intelligent Laboratory Systems. 246 (2024) - p. 105089 , 2024

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

3

A primer on predictive maintenance: Potential benefits and ..:

Hviid Hansen, Henrik ; Kulahci, Murat ; Friis Nielsen, Bo
Quality Engineering. 36 (2024) 3 - p. 638-649 , 2024

Link: https://doi.org/10.1080/..

4

Hidden dimensions of the data: PCA vs autoencoders:

Cacciarelli, Davide ; Kulahci, Murat
Quality Engineering. 35 (2023) 4 - p. 741-750 , 2023

Link: https://doi.org/10.1080/..

5

Application of Machine Learning for Prediction and Process ..:

Mollaei Ardestani, Alireza ; Azamirad, Ghasem ; Shokrollahi, Yasin...
Applied Sciences. 13 (2023) 4 - p. 2617 , 2023

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

6

Statistical process control versus deep learning for power ..:

Hansen, Henrik Hviid ; Kulahci, Murat ; Nielsen, Bo Friis
Computers & Chemical Engineering. 178 (2023) - p. 108391 , 2023

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

7

Online monitoring for error detection in vat photopolymeriz..:

Frumosu, Flavia Dalia ; Méndez Ribó, Macarena ; Shan, Shuo..
International Journal of Computer Integrated Manufacturing. , 2023

Link: https://doi.org/10.1080/..

8

Active learning for data streams: a survey:

Cacciarelli, Davide ; Kulahci, Murat
Machine Learning. 113 (2023) 1 - p. 185-239 , 2023

Link: https://doi.org/10.1007/..

9

Stream-Based Active Learning for Regression with Dynamic Fe..:

, In: 2023 Fifth International Conference on Transdisciplinary AI (TransAI),

Cacciarelli, Davide ; Tyssedal, John Solve ; Kulahci, Murat - p. 243-248 , 2023

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

10

Variable selection wrapper in presence of correlated input ..:

Rotari, Marta ; Kulahci, Murat
Quality and Reliability Engineering International. 40 (2023) 1 - p. 297-312 , 2023

Link: https://doi.org/10.1002/..

11

Robust online active learning:

Cacciarelli, Davide ; Kulahci, Murat ; Tyssedal, John Sølve
Quality and Reliability Engineering International. 40 (2023) 1 - p. 277-296 , 2023

Link: https://doi.org/10.1002/..

12

Autonomous Anomaly Detection and Handling of Spatiotemporal..:

, In: Lecture Notes in Mechanical Engineering; International Congress and Workshop on Industrial AI 2021,

Kulahci, Murat ; Bergquist, Bjarne ; Söderholm, Peter - p. 65-72 , 2022

Link: https://doi.org/10.1007/..

13

A climate classification for corrosion control in electroni..:

Spooner, Max ; Ambat, Rajan ; Conseil-Gudla, Hélène.
Machine Learning with Applications. 9 (2022) - p. 100397 , 2022

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

14

A novel fault detection and diagnosis approach based on ort..:

Cacciarelli, Davide ; Kulahci, Murat
Computers & Chemical Engineering. 163 (2022) - p. 107853 , 2022

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

15

Stream-based active learning with linear models:

Cacciarelli, Davide ; Kulahci, Murat ; Tyssedal, John Sølve
Knowledge-Based Systems. 254 (2022) - p. 109664 , 2022

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