Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Somayeh Raiesdana"'
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 15, Iss 2, Pp 29-41 (2023)
Handwritten character recognition has occupied a substantial area due to its applications in several fields and is used widely in the modern world. Handwritten Arabic recognition is a major challenge because of the high similarity in its characters a
Externí odkaz:
https://doaj.org/article/f12e45528ca648f7a624e83f33ae0bf8
Publikováno v:
Brain Informatics, Vol 9, Iss 1, Pp 1-9 (2022)
Abstract Epileptic seizures prediction and timely alarms allow the patient to take effective and preventive actions. In this paper, a convolutional neural network (CNN) is proposed to diagnose the preictal period. Our goal is for those epileptic pati
Externí odkaz:
https://doaj.org/article/a1614e5ba1294809af5c70ba7a29de55
Publikováno v:
Caspian Journal of Neurological Sciences, Vol 8, Iss 4, Pp 244-251 (2022)
Hippocampus is a part of the brain that has an essential role in memory and learning. It is involved in many cognitive and behavioral phenomena, including the pattern separation process: the ability to distinguish patterns with very high similarity.
Externí odkaz:
https://doaj.org/article/bdb47cad5ad6420e88d699ee3cf6b9da
Autor:
Somayeh Raiesdana
Publikováno v:
Middle East Journal of Cancer, Vol 12, Iss 1, Pp 48-68 (2021)
Background: Early and accurate detection of breast cancer reduces the mortality rate of breast cancer patients. Decision-making systems based on machine learning and intelligent techniques help to detect lesions and distinguish between benign and mal
Externí odkaz:
https://doaj.org/article/c7eceddbb61242718d4d34401c4ed745
Autor:
Mohammad Raouf, Somayeh Raiesdana
Publikováno v:
Caspian Journal of Neurological Sciences, Vol 6, Iss 2, Pp 71-83 (2020)
Background: Spatial learning and navigation is a fundamental cognitive ability consisting of multiple cognitive components. Despite intensive efforts conducted with the assistance of virtual reality technology and functional Magnetic Resonance Imagin
Externí odkaz:
https://doaj.org/article/cfe6c36b0d064024839904e5a91d91a1
Autor:
Somayeh Raiesdana
Publikováno v:
Caspian Journal of Neurological Sciences, Vol 6, Iss 1, Pp 16-30 (2020)
Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual int
Externí odkaz:
https://doaj.org/article/da1f49c27ac04cb09f29dbc3fa75df65
Publikováno v:
IEEE Access, Vol 8, Pp 212803-212817 (2020)
Reaching high accuracy in handwritten character recognition is an essential challenge since it is widely used in many fields such as signature analysis and forgery detection. Recently, deep learning has demonstrated efficiency in this field. The prob
Externí odkaz:
https://doaj.org/article/37034b6160b04215bc37917fa11f53e9
Autor:
Somayeh Raiesdana
Publikováno v:
Journal of Integrative Neuroscience, Vol 17, Iss 1, Pp 27-42 (2018)
Existence of allocentric and egocentric systems for human navigation, mediating spatial, and response learning, respectively, has so far been discussed. It is controversial whether navigational strategies and their underlying learning systems and, ac
Externí odkaz:
https://doaj.org/article/19a0851fe9f743b6af0a1781916bc187
Autor:
Somayeh Raiesdana, Morteza Mousakhani
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-19
This study evaluates consumer preference from the perspective of neuroscience when a choice is made among a number of cars, one of which is an electric car. Consumer neuroscience contributes to a systematic understanding of the underlying information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90514550e146e6b40e172f3b6d2098b9
https://doi.org/10.1155/2022/9002101
https://doi.org/10.1155/2022/9002101
Autor:
Somayeh Raiesdana
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 234:1101-1119
Quadrotor or unmanned helicopter is a mobile robot which often flies in unknown environment to perform special missions. In navigational tasks, the robot is intended to fly autonomously toward a target position by following an optimum trajectory. For
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7e483b49a7bd48f7c44df5c954ab7aa
https://doi.org/10.1177/0959651820932716
https://doi.org/10.1177/0959651820932716