Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Armin Salimi-Badr"'
Autor:
Mehrshad Saadatinia, Armin Salimi-Badr
Publikováno v:
IEEE Access, Vol 12, Pp 98379-98392 (2024)
Schizophrenia is an example of a rare mental disorder that is challenging to diagnose using conventional methods. Deep learning methods have been extensively employed to aid in the diagnosis of schizophrenia. However, their efficacy relies heavily on
Externí odkaz:
https://doaj.org/article/51a6b1910c474e88a13303f6d84bb327
Autor:
Christian Darlot, Armin Salimi-Badr, Mitra Asadi-Eydivand, Zahra Ghorrati, Mohammad Mehdi Ebadzadeh
Publikováno v:
IEEE Access, Vol 8, Pp 110859-110879 (2020)
In this paper a comprehensive system-level computational model of oculomotor pathways is presented. This model shows the necessity of embedding internal models of muscles biomechanics in the cerebellar Vermis to realize fast saccadic eye movements ba
Externí odkaz:
https://doaj.org/article/ca3a6c7badc241c3a094dff86ab3866c
Autor:
Athena Abdi, Armin Salimi-Badr
Publikováno v:
IEEE Transactions on Sustainable Computing. :1-13
Publikováno v:
Applied Intelligence. 53:15656-15682
Publikováno v:
Neurocomputing. 470:139-153
In this paper, a novel learning approach to train fuzzy neural networks’ parameters based on calculating the desired outputs of their rules, is proposed. We describe the desired outputs of fuzzy rules as values that make the output error equal to t
Publikováno v:
2022 12th International Conference on Computer and Knowledge Engineering (ICCKE).
Publikováno v:
2022 27th International Computer Conference, Computer Society of Iran (CSICC).
Publikováno v:
2021 11th International Conference on Computer Engineering and Knowledge (ICCKE).
Autor:
Armin Salimi-Badr
In this paper, a new interval type-2 fuzzy neural network able to construct non-separable fuzzy rules with adaptive shapes is introduced. To reflect the uncertainty, the shape of fuzzy sets considered to be uncertain. Therefore, a new form of interva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4a02c500daabb190fd548ba38c1e45d
http://arxiv.org/abs/2108.08704
http://arxiv.org/abs/2108.08704
Autor:
Mohammad Hashemi, Armin Salimi-Badr
Publikováno v:
2020 11th International Conference on Information and Knowledge Technology (IKT).
In this paper, a neural approach based on using Long-Short Term Memory (LSTM) neural networks is proposed to diagnose patients suffering from PD. In this study, it is shown that the temporal patterns of the gait cycle are different for healthy person