Leveraging Information Flow-Based Fuzzy Cognitive Maps for Interpretable Fault Diagnosis in Industrial Robotics

Marios Tyrovolas, Chrysostomos Stylios, Khurshid Aliev, Dario Antonelli

Open source

DOI
10.1007/978-3-031-63851-0_6
Published
2024
Container
Not recorded
Publisher
Springer Nature Switzerland
Open access
no

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BibTeX

@article{allodium:10.1007/978-3-031-63851-0_6,
  title = {Leveraging Information Flow-Based Fuzzy Cognitive Maps for Interpretable Fault Diagnosis in Industrial Robotics},
  author = {Marios Tyrovolas and Chrysostomos Stylios and Khurshid Aliev and Dario Antonelli},
  year = {2024},
  doi = {10.1007/978-3-031-63851-0_6},
  url = {https://doi.org/10.1007/978-3-031-63851-0_6}
}

RIS

TY  - JOUR
TI  - Leveraging Information Flow-Based Fuzzy Cognitive Maps for Interpretable Fault Diagnosis in Industrial Robotics
AU  - Marios Tyrovolas
AU  - Chrysostomos Stylios
AU  - Khurshid Aliev
AU  - Dario Antonelli
PY  - 2024
DO  - 10.1007/978-3-031-63851-0_6
UR  - https://doi.org/10.1007/978-3-031-63851-0_6
ER  - 

APA

Tyrovolas, M., Stylios, C., Aliev, K., & Antonelli, D. (2024). Leveraging Information Flow-Based Fuzzy Cognitive Maps for Interpretable Fault Diagnosis in Industrial Robotics. https://doi.org/10.1007/978-3-031-63851-0_6

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