Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Qazi, Emad Ul Haq"'
Autor:
Qazi, Emad Ul Haq1 (AUTHOR) qabdulrab@nauss.edu.sa, Faheem, Muhammad Hamza1 (AUTHOR), Zia, Tanveer1,2 (AUTHOR), Imran, Muhammad3 (AUTHOR), Ahmad, Iftikhar4 (AUTHOR)
Publikováno v:
Information (2078-2489). Nov2024, Vol. 15 Issue 11, p701. 17p.
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10086 (2024)
Phishing is one of the most widely observed types of internet cyber-attack, through which hundreds of clients using different internet services are targeted every day through different replicated websites. The phishing attacker spreads messages conta
Externí odkaz:
https://doaj.org/article/fba26d36b182475584203a2600463251
Emotions play a crucial role in human interaction, health care and security investigations and monitoring. Automatic emotion recognition (AER) using electroencephalogram (EEG) signals is an effective method for decoding the real emotions, which are i
Externí odkaz:
http://arxiv.org/abs/1904.13234
In this paper, we have proposed a brain signal classification method, which uses eigenvalues of the covariance matrix as features to classify images (topomaps) created from the brain signals. The signals are recorded during the answering of 2D and 3D
Externí odkaz:
http://arxiv.org/abs/1904.13221
Representation and classification of Electroencephalography (EEG) brain signals are critical processes for their analysis in cognitive tasks. Particularly, extraction of discriminative features from raw EEG signals, without any pre-processing, is a c
Externí odkaz:
http://arxiv.org/abs/1904.13228
Epilepsy is a neurological disorder and for its detection, encephalography (EEG) is a commonly used clinical approach. Manual inspection of EEG brain signals is a time-consuming and laborious process, which puts heavy burden on neurologists and affec
Externí odkaz:
http://arxiv.org/abs/1801.05412
Publikováno v:
In Computers and Electrical Engineering April 2022 99
Autor:
Usman Naseem, Junaid Rashid, Liaqat Ali, Jungeun Kim, Qazi Emad Ul Haq, Mazhar Javed Awan, Muhammad Imran
Publikováno v:
IEEE Access, Vol 10, Pp 78242-78252 (2022)
Breast cancer (BC) is the second most prevalent type of cancer among women leading to death, and its rate of mortality is very high. Its effects will be reduced if diagnosed early. BC’s early detection will greatly boost the prognosis and likelihoo
Externí odkaz:
https://doaj.org/article/a967cd56ed244c619e825101c984a302
Akademický článek
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Autor:
AlShammari, Naif Khalaf1 (AUTHOR), Qazi, Emad Ul Haq2 (AUTHOR) qabdulrab@nauss.edu.sa, Gabr, Ahmed Maher3 (AUTHOR), Alzamil, Ahmed A.4 (AUTHOR), Alshammari, Ahmed S.4 (AUTHOR), Albadran, Saleh Mohammad4 (AUTHOR), Reddy, G. Thippa5 (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2023, Vol. 44 Issue 5, p8773-8783. 11p.