Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Noura Abdelaziz Ahmed"'
Autor:
Noha Negm, Hayam Alamro, Randa Allafi, Majdi Khalid, Amal M. Nouri, Radwa Marzouk, Aladdin Yahya Othman, Noura Abdelaziz Ahmed
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 11, Pp 102943- (2024)
Background: Recently, a developing count of physical objects is linked to the Internet at an unprecedented rate, calcifying the knowledge of the Internet of Things (IoT). In several paradigms of IoT applications, unmanned aerial vehicles (UAVs) and s
Externí odkaz:
https://doaj.org/article/79d1189260cc4e86affc6d1a02ca22fa
Autor:
Nuha Alruwais, Hayam Alamro, Majdy M. Eltahir, Ahmed S. Salama, Mohammed Assiri, Noura Abdelaziz Ahmed
Publikováno v:
AIMS Mathematics, Vol 8, Iss 12, Pp 30335-30352 (2023)
Depression detection is the procedure of recognizing the individuals exhibiting depression symptoms, which is a mental illness that is characterized by hopelessness, feelings of sadness, persistence and loss of interest in day-to-day activities. Depr
Externí odkaz:
https://doaj.org/article/11a36c62295c4b35ba834d69b8d6b91f
Autor:
Munya A. Arasi, Haya Mesfer Alshahrani, Nuha Alruwais, Abdelwahed Motwakel, Noura Abdelaziz Ahmed, Abdullah Mohamed
Publikováno v:
IEEE Access, Vol 11, Pp 104633-104642 (2023)
Image captioning is a deep learning technique that intends to create and generate textual descriptions or captions for images. It integrates computer vision and natural language processing (NLP) to comprehend the visual content of an image and genera
Externí odkaz:
https://doaj.org/article/e949504da2b9450686c6356f2ac14448
Autor:
Mashael Maashi, Hayam Alamro, Heba Mohsen, Noha Negm, Gouse Pasha Mohammed, Noura Abdelaziz Ahmed, Sara Saadeldeen Ibrahim, Mohamed Ibrahim Alsaid
Publikováno v:
IEEE Access, Vol 11, Pp 87297-87304 (2023)
Copy-move (CM) forgery is a common type of image manipulation that involves copying and pasting a region within an image to conceal or duplicate content. Detection of such forgeries acts as an important part of digital image forensics. Deep learning
Externí odkaz:
https://doaj.org/article/83b01fd82956458ab484a2b53577e3b2