Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nawaf Waqas"'
Autor:
Muhammad Haris Kaka Khel, Kushsairy Abdul Kadir, Sheroz Khan, Mnmm Noor, Haidawati Nasir, Nawaf Waqas, Akbar Khan
Publikováno v:
IEEE Access, Vol 11, Pp 56368-56379 (2023)
Researchers are becoming more interested in crowd surveillance because of its several potential applications. These applications may include detecting unusual activity for security purposes, monitoring reasons for archiving records, and conducting in
Externí odkaz:
https://doaj.org/article/6f523ccab1a946c488ac7e072c2584ed
Autor:
Nawaf Waqas, Sairul Izwan Safie, Kushsairy Abdul Kadir, Sheroz Khan, Muhammad Haris Kaka Khel
Publikováno v:
IEEE Access, Vol 10, Pp 80847-80857 (2022)
Field of medical imaging is scarce in terms of a dataset that is reliable and extensive enough to train distinct supervised deep learning models. One way to tackle this problem is to use a Generative Adversarial Network to synthesize DEEPFAKE images
Externí odkaz:
https://doaj.org/article/368243818ee641de85ce183a2bf84e65
Publikováno v:
Journal of Computer Science. 17:738-747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9426734661432240cfe1341fc72ff9d8
https://doi.org/10.3844/jcssp.2021.738.747
https://doi.org/10.3844/jcssp.2021.738.747
Autor:
Muhammad Haris Kaka Khel, Kushsairy Kadir, Sheroz Khan, Waleed Albattah, Haidawati Nasir, MNMM Noor, Akbar Khan, Nawaf Waqas
Publikováno v:
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5424589846c25a9b7f62d65b4293a891
https://doi.org/10.1109/i2mtc48687.2022.9806487
https://doi.org/10.1109/i2mtc48687.2022.9806487