Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Mohammad Reza, Bonyadi"'
Autor:
Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Damien Querlioz, Luping Zhou, Omid Kavehei
Publikováno v:
IEEE Access, Vol 7, Pp 143999-144009 (2019)
Many outstanding studies have reported promising results in seizure forecasting, one of the most challenging predictive data analysis problems. This is mainly because electroencephalogram (EEG) bio-signal intensity is very small, in $\mu \text{V}$ ra
Externí odkaz:
https://doaj.org/article/5fc07aa0327d4cb0a483dc9a407df834
Publikováno v:
Frontiers in Aging Neuroscience, Vol 12 (2020)
Reasoning requires initial encoding of the semantic association between premises or assumptions, retrieval of these semantic associations from memory, and recombination of information to draw a logical conclusion. Currently-held beliefs can interfere
Externí odkaz:
https://doaj.org/article/9eee7ec7923049308d0461ab95525c7b
Autor:
Mohammad Reza Bonyadi, Parvin Bastani
Publikováno v:
Cell Journal, Vol 15, Iss 3, Pp 238-243 (2013)
Objective: Toxoplasma gondii infection, an intracellular parasite, is often asymptomatic or is caused by different clinical diseases without being detected. Evaluation of IgG, IgA, and IgM in order to diagnose the pending Toxoplasmosis may confront s
Externí odkaz:
https://doaj.org/article/51d46c5684f34fb7a434c5dce57f09dd
Autor:
Mohammad Reza Bonyadi
Publikováno v:
IEEE Transactions on Evolutionary Computation. 24:57-68
In this paper we theoretically investigate underlying assumptions that have been used for designing adaptive particle swarm optimization algorithms in the past years. We relate these assumptions to the movement patterns of particles controlled by coe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18aef606b27c43c1ffdb8bfa8e4a7541
https://doi.org/10.1109/tevc.2019.2906894
https://doi.org/10.1109/tevc.2019.2906894
Publikováno v:
IEEE transactions on neural networks and learning systems.
Reinforcement learning agents learn by encouraging behaviours which maximize their total reward, usually provided by the environment. In many environments, however, the reward is provided after a series of actions rather than each single action, lead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c966560101726c1cfa47fa270b35dec5
https://pubmed.ncbi.nlm.nih.gov/35041613
https://pubmed.ncbi.nlm.nih.gov/35041613
Publikováno v:
IEEE Transactions on Evolutionary Computation. 23:885-898
We introduce a novel approach for discriminative classification using evolutionary algorithms. We first propose an algorithm to optimize the total loss value using a modified 0–1 loss function in a 1-D space for classification. We then extend this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::709386e67af710a15d3bcfb4c4a62ddc
https://doi.org/10.1109/tevc.2019.2895298
https://doi.org/10.1109/tevc.2019.2895298
Autor:
Babak Soofizadeh, Morteza Gojazadeh, Seyed Yagoob Moaadab, Mohammad Reza Bonyadi, Faegheh Ebrahimi, Aida Malek Mahdavi, Aliasghar Ebrahimi
Publikováno v:
Immunology Letters. 211:49-52
The Helicobacter pylori(H. pylori) infection leads to intensification of symptoms and calenture of autoimmune diseases. This study aimed to evaluate the relationship between H. pylori infection and clinical outcomes in rheumatoid arthritis (RA) patie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e1701fc57edc1b1bd228426ec47a3c1
https://doi.org/10.1016/j.imlet.2019.05.014
https://doi.org/10.1016/j.imlet.2019.05.014
Autor:
Damien Querlioz, Luping Zhou, Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Omid Kavehei
Publikováno v:
IEEE Access
IEEE Access, IEEE, 2019, 7, pp.143999-144009. ⟨10.1109/ACCESS.2019.2944691⟩
IEEE Access, Vol 7, Pp 143999-144009 (2019)
IEEE Access, IEEE, 2019, 7, pp.143999-144009. ⟨10.1109/ACCESS.2019.2944691⟩
IEEE Access, Vol 7, Pp 143999-144009 (2019)
Many outstanding studies have reported promising results in seizure forecasting, one of the most challenging predictive data analysis problems. This is mainly because electroencephalogram (EEG) bio-signal intensity is very small, in $\mu \text{V}$ ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6f1cf2b1f2a0170f2976d757c8ffde2
https://doi.org/10.1109/access.2019.2944691
https://doi.org/10.1109/access.2019.2944691
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
This paper presents a hybrid evolutionary algorithm to deal with the wheat blending problem. The unique constraints of this problem make many existing algorithms fail: either they do not generate acceptable results or they are not able to complete op
Externí odkaz:
https://doaj.org/article/1c23dd8e01324bb5a2e67eadef03ceb3
Autor:
Samuel J. Ippolito, Omid Kavehei, Jiawei Yang, Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Anh Nguyen
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8:849-857
Outstanding seizure detection algorithms have been developed over past two decades. Despite this success, their implementations as part of implantable or wearable devices are still limited. These works are mainly based on heavily handcrafted feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a239a0cee414167c9678e8e8f5ff774
https://doi.org/10.1109/jetcas.2018.2842761
https://doi.org/10.1109/jetcas.2018.2842761