Shima Javanmardi
Education and research staff member
- Name
- S. Javanmardi
- Telephone
- +31 71 527 4799
- s.javanmardi@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-3027-5895
Education and research staff member
- Science
- Leiden Inst of Advanced Computer Science
PhD candidate / self funded
- Science
- Leiden Inst of Advanced Computer Science
- Jahanbanifard M., Price E., González Benito A., Raggi L.A., Javanmardi S., Lens F., Gravendeel B., Espinoza E. & Verbeek F.J. (2023), A novel method to analyse DART TOFMS spectra based on Convolutional Neural Networks: a case study on methanol extracts of wool fibres from endangered camelids, International Journal of Mass Spectrometry 489: 117050.
- Javanmardi S., Latif A.M., Sadeghi M.T., Jahanbanifard M., Bonsangue M.M. & Verbeek F.J. (2022), Caps captioning: a modern image captioning approach based on improved capsule network, Sensors 22(21): 8376.
- Javanmardi S., Ashtiani S.H.M. & Verbeek F.J. Martynenko A. (2021), Computer-vision classification of corn seed varieties using deep convolutional neural network, Journal of Stored Products Research 92: 101800.
- Ashtiani S.H.M, Javanmardi S., Jahanbanifard M. , Martynenko A. & Verbeek F.J. (2021), Detection of mulberry ripeness stages using deep learning models, IEEE Access 9: 100380-100394.
- Javanmardi S., Ashtiani S.H.M. & Verbeek F.J. Martynenko A. (2021), Computer-vision classification of corn seed varieties using deep convolutional neural network, Journal of Stored Products Research 92: 101800.