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pro vyhledávání: '"Saad, Ahmed"'
With increasing concerns over privacy in healthcare, especially for sensitive medical data, this research introduces a federated learning framework that combines local differential privacy and secure aggregation using Secure Multi-Party Computation f
Externí odkaz:
http://arxiv.org/abs/2412.00687
Autor:
Saad, Ahmed Mohamed
Asphaltenic crude oil is a complex fluid containing various components with different chemical properties. When it comes in contact with water, its polar components adsorb at the oil/water interface, reducing the interfacial tension and eventually de
Externí odkaz:
http://hdl.handle.net/10754/685835
Due to massive adoption of social media, detection of users' depression through social media analytics bears significant importance, particularly for underrepresented languages, such as Bangla. This study introduces a well-grounded approach to identi
Externí odkaz:
http://arxiv.org/abs/2407.09187
Depression is a significant issue nowadays. As per the World Health Organization (WHO), in 2023, over 280 million individuals are grappling with depression. This is a huge number; if not taken seriously, these numbers will increase rapidly. About 4.8
Externí odkaz:
http://arxiv.org/abs/2404.13104
Light Detection and Ranging (LiDAR) are fast emerging sensors in the field of Earth Observation. It is a remote sensing technology that utilizes laser beams to measure distances and create detailed three-dimensional representations of objects and env
Externí odkaz:
http://arxiv.org/abs/2312.10068
Publikováno v:
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2024, WAIKOLOA, HAWAII, United States
Object detection models, a prominent class of machine learning algorithms, aim to identify and precisely locate objects in images or videos. However, this task might yield uneven performances sometimes caused by the objects sizes and the quality of t
Externí odkaz:
http://arxiv.org/abs/2311.11714
Autor:
Maria Shoukat, Haseeb Khan, Moona Nazish, Abdur Rehman, Sheharyar Raashid, Saad Ahmed, Wajid Munir, Abdulwahed Fahad Alrefaei, Massab Umair, Muhammad Osama Bin Abid, Nasim Akhtar, Wajid Zaman, Malik Badshah
Publikováno v:
BMC Infectious Diseases, Vol 25, Iss 1, Pp 1-12 (2025)
Abstract Background C-reactive protein (CRP) is one of the most commonly monitored inflammatory markers in patients with COVID-19 to gain insight into the inflammation level in the body and to adopt effective disease management and therapeutic strate
Externí odkaz:
https://doaj.org/article/0889b81c8c1e4904aa9c1ca1a657334a
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 44, Iss 1, Pp 113-123 (2025)
The increasing Internet of Things (IoT) device integration in smart home environments has increased the options available for intelligent energy management. In the context of smart homes, this paper provides a detailed analysis on the use of IoT data
Externí odkaz:
https://doaj.org/article/dba4c0a2a19a405e9d94b453fe716c60
Autor:
Hiba A. Alsawaf, Saad Ahmed Ayoob
Publikováno v:
Journal of Communications Software and Systems, Vol 20, Iss 4, Pp 350-360 (2024)
Millimeter wave-based intelligent reflecting surface communications represent a promising technology enabling 6G networks. However, taking advantage of the bandwidth of millimeter wave and the characteristics of IRS leads to the problem of beam split
Externí odkaz:
https://doaj.org/article/4d273ea0636643a4a827efef50ad5ca6
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 4, Pp 909-914 (2024)
One potential candidate technology for Beyond 5G (B5G) networks is the reconfigurable intelligent surface (RIS), which is easy to install on existing infrastructure such as vehicles and buildings. Creating additional paths between the transmitter and
Externí odkaz:
https://doaj.org/article/2ddeee70edca423fadfd295db6f1528b