Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Parvaneh Asghari"'
A Model for Epileptic Seizure Diagnosis Using the Combination of Ensemble Learning and Deep Learning
Autor:
Mehdi Hosseinzadeh, Parisa Khoshvaght, Samira Sadeghi, Parvaneh Asghari, Amirhossein Noroozi Varzeghani, Mokhtar Mohammadi, Hossein Mohammadi, Jan Lansky, Sang-Woong Lee
Publikováno v:
IEEE Access, Vol 12, Pp 137132-137143 (2024)
Epileptic seizures can be dangerous as they cause sudden and uncontrolled electrical activity in the brain which can lead to injuries if one falls or loss of control over physical functions. To mitigate these risks, machine learning and deep learning
Externí odkaz:
https://doaj.org/article/9aa69fbed3714492b04c2952057a6919
Autor:
Mehdi Hosseinzadeh, Dildar Hussain, Firas Muhammad Zeki Mahmood, Farhan A Alenizi, Amirhossein Noroozi Varzeghani, Parvaneh Asghari, Aso Darwesh, Mazhar Hussain Malik, Sang-Woong Lee
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0301275 (2024)
Skin cancer has a significant impact on the lives of many individuals annually and is recognized as the most prevalent type of cancer. In the United States, an estimated annual incidence of approximately 3.5 million people receiving a diagnosis of sk
Externí odkaz:
https://doaj.org/article/7f748263e7d34d99af849ce81dc827c3
Publikováno v:
Cluster Computing. 26:1479-1493
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::948844ab93637b7d7b49da72731ae093
https://doi.org/10.1007/s10586-022-03760-7
https://doi.org/10.1007/s10586-022-03760-7
Publikováno v:
Cluster Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5371eec81001a0dfe4ac4cb3d1582ca
https://doi.org/10.1007/s10586-023-04023-9
https://doi.org/10.1007/s10586-023-04023-9
Publikováno v:
The Journal of Supercomputing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d42efd30264847bbdc073b14b1b77263
https://doi.org/10.1007/s11227-023-05332-x
https://doi.org/10.1007/s11227-023-05332-x
Publikováno v:
Neural Computing and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e3db1a20547e0e5f2c90c123fe19ce1
https://doi.org/10.1007/s00521-023-08612-y
https://doi.org/10.1007/s00521-023-08612-y
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf0cc95422559f13937a28a79f46dc3a
https://doi.org/10.1007/s11042-023-15657-7
https://doi.org/10.1007/s11042-023-15657-7
Publikováno v:
International Journal of Communication Systems. 35
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::397b14503bbdcd291e78bef0c4e09a7d
https://doi.org/10.1002/dac.5166
https://doi.org/10.1002/dac.5166
Autor:
Marwan Yassin Ghafour, Mehdi Hosseinzadeh, Aram Mahmood Ahmed, Parvaneh Asghari, Hamid Pourasghari, Jalil Koohpayehzadeh, Alireza Souri, Aziz Rezapour
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:5085-5095
Advancement of sensor technologies has conducted to the rapid evolution of platforms, tools and approaches such as Internet of Things (IoT) for developing behavioral and physiological monitoring systems. Nowadays, According to growing number of elder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6972704b0db7d188b97658a44c004242
https://doi.org/10.1007/s12652-020-02579-7
https://doi.org/10.1007/s12652-020-02579-7
Autor:
Alireza Souri, Parvaneh Asghari, Reza Rawassizadeh, Mehdi Hosseinzadeh, Mahdi Bohlouli, Ali Mazaherinezhad, Jalil Koohpayehzadeh, Ahmed Omar Bali
Publikováno v:
Multimedia Tools and Applications. 80:16933-16950
Chronic Kidney Disease (CKD) is being typically observed as a health threatening issue, especially in developing countries, where receiving proper treatments are very expensive. Therefore, early prediction of CKD that protects the kidney and breaks t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78b52fb104e6dd82f262497063b3ef7e
https://doi.org/10.1007/s11042-020-09049-4
https://doi.org/10.1007/s11042-020-09049-4