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of 5
pro vyhledávání: '"Al Anood Najeeb"'
Autor:
Younes Akbari, Al Anood Najeeb, Somaya Al Maadeed, Omar Elharrouss, Fouad Khelifi, Ashref Lawgaly
Publikováno v:
IEEE Access, Vol 11, Pp 70387-70395 (2023)
The advancement of Internet technology has significantly impacted daily life, which is influenced by digital videos taken with smartphones as the most popular type of multimedia. These digital videos are extensively sent through various social media
Externí odkaz:
https://doaj.org/article/bf4dedbecebb471ab3c45eec38b241b6
Autor:
Younes Akbari, Somaya Al-Maadeed, Noor Al-Maadeed, Al Anood Najeeb, Afnan Al-Ali, Fouad Khelifi, Ashref Lawgaly
Publikováno v:
IEEE Access, Vol 10, Pp 20080-20091 (2022)
In recent years, the field of digital imaging has made significant progress, so that today every smartphone has a built-in video camera that allows you to record high-quality video for free and without restrictions. On the other hand, rapidly growing
Externí odkaz:
https://doaj.org/article/76bd4dfa55bc40b7acbaf44a3dad50ab
Autor:
Aisha A‐Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al‐Maadeed, Kishor Kumar Sadasivuni
Publikováno v:
Predicting Heart Failure. :23-46
Frequency domain techniques such as Discrete Cosine Transform (DCT) and Warped Discrete Cosine Transform (WDCT) ensures high accuracy when compared with the spatial domain techniques. Therefore, these image steganographic methods were evaluated using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e5e19f09af5092b5e478a7946a993af
https://hdl.handle.net/10576/24531
https://hdl.handle.net/10576/24531
Autor:
Kishor Kumar Sadasivuni, Hassen M. Ouakad, Somaya Al-Maadeed, Huseyin C. Yalcin, Issam Bait Bahadur
PREDICTING HEART FAILURE Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods focuses on the mechanics and symptoms of heart failure and various approaches, including conventional and modern tec