• 115 Citations
  • 5 h-Index
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Personal profile


  • EDI 8

SNI Level

  • SNI 1

Fingerprint Dive into the research topics where Amadeo Jose Arguelles Cruz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Data storage equipment Engineering & Materials Science
Neural networks Engineering & Materials Science
Classifiers Engineering & Materials Science
Learning Medicine & Life Sciences
Nonlinear systems Engineering & Materials Science
Pattern recognition Engineering & Materials Science
Associative Memory Mathematics
Field programmable gate arrays (FPGA) Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2005 2019

  • 115 Citations
  • 5 h-Index
  • 13 Article
  • 9 Paper
  • 6 Conference contribution
  • 1 Scientific review

Hand movement classification using burg reflection coefficients

Ramírez-Martínez, D., Alfaro-Ponce, M., Pogrebnyak, O., Aldape-Pérez, M. & Argüelles-Cruz, A. J., 1 Feb 2019, In : Sensors (Switzerland). 19, 3, 475.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Feature extraction
pattern recognition
prosthetic devices
1 Citation (Scopus)
Data storage equipment
Pattern recognition
Recognition (Psychology)

The potential use of bioinspired algorithms applied in the segmentation of mammograms

González-Patiño, D., Villuendas-Rey, Y. & Argüelles-Cruz, A. J., 1 Jan 2018, p. 303-306. 272 p.

Research output: Contribution to conferencePaperResearch

Image segmentation
science and technology
3 Citations (Scopus)

Adaptive identifier for uncertain complex-valued discrete-time nonlinear systems based on recurrent neural networks

Alfaro-Ponce, M., Salgado, I., Arguelles, A. & Chairez, I., 1 Feb 2016, In : Neural Processing Letters. p. 133-153 117 p.

Research output: Contribution to journalArticleResearchpeer-review

Recurrent neural networks
Nonlinear systems
Uncertain systems
System theory
Adaptive algorithms

Enhancing engineering education through link prediction in social networks

Ferreira-Santiago, A., Yanez-Marquez, C., Lopez-Yanez, I., Camacho-Nieto, O., Aldape-Perez, M. & Arguelles-Cruz, A. J., 1 Jan 2016, In : International Journal of Engineering Education. p. 1566-1578 1408 p.

Research output: Contribution to journalScientific reviewResearchpeer-review

Engineering education
social network