Follow
Fatemeh Kakavandi
Fatemeh Kakavandi
PhD fellow at Aarhus University, Department of Electrical and Computer Engineering
Verified email at ece.au.dk - Homepage
Title
Cited by
Cited by
Year
A review of unit level digital twin applications in the manufacturing industry
T Böttjer, D Tola, F Kakavandi, CR Wewer, D Ramanujan, C Gomes, ...
CIRP Journal of Manufacturing Science and Technology 45, 162-189, 2023
202023
An experimental study on a learning-based approach for the push recovery of NAO humanoid robot
M Ghorbani, F Kakavandi, MT Masouleh
2017 Artificial Intelligence and Signal Processing Conference (AISP), 358-363, 2017
42017
Towards developing a digital twin for a manufacturing pilot line: An industrial case study
F Kakavandi, C Gomes, R de Reus, J Badstue, JL Jensen, PG Larsen, ...
Digital Twin Driven Intelligent Systems and Emerging Metaverse, 39-64, 2023
32023
Explainable Product Quality Assessment in a Medical Device Assembly Pilot Line
F Kakavandi, PG Larsen
2022 10th International Conference on Control, Mechatronics and Automation …, 2022
22022
Product Quality Control in Assembly Machine under Data Restricted Settings
F Kakavandi, R de Reus, C Gomes, N Heidari, A Iosifidis, PG Larsen
2022 IEEE 20th International Conference on Industrial Informatics (INDIN …, 2022
22022
Identifying Simulation Model Through Alternative Techniques for a Medical Device Assembly Process
F Kakavandi
arXiv preprint arXiv:2309.15094, 2023
2023
Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications
F Kakavandi, P Han, R de Reus, PG Larsen, H Zhang
2023 International Conference on Control, Automation and Diagnosis (ICCAD), 1-7, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–7