Zobrazeno 1 - 10
of 445
pro vyhledávání: '"Youssef, Moustafa"'
Publikováno v:
2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
Accurate floor localization in a multi-story environment is an important but challenging task. Among the current floor localization techniques, fingerprinting is the mainstream technology due to its accuracy in noisy environments. To achieve accurate
Externí odkaz:
http://arxiv.org/abs/2409.00792
Locating the persons moving through an environment without the necessity of them being equipped with special devices has become vital for many applications including security, IoT, healthcare, etc. Existing device-free indoor localization systems com
Externí odkaz:
http://arxiv.org/abs/2409.00030
Autor:
Shokry, Ahmed, Youssef, Moustafa
Although outdoor localization is already available to the general public and businesses through the wide spread use of the GPS, it is not supported by low-end phones, requires a direct line of sight to satellites and can drain phone battery quickly.
Externí odkaz:
http://arxiv.org/abs/2407.16927
Autor:
Shokry, Ahmed, Youssef, Moustafa
Deep learning-based fingerprinting is one of the current promising technologies for outdoor localization in cellular networks. However, deploying such localization systems for heterogeneous phones affects their accuracy as the cellular received signa
Externí odkaz:
http://arxiv.org/abs/2407.16923
Autor:
Shokry, Ahmed, Youssef, Moustafa
Fingerprinting techniques are widely used for localization because of their accuracy, especially in the presence of wireless channel noise. However, the fingerprinting techniques require significant storage and running time, which is a concern when i
Externí odkaz:
http://arxiv.org/abs/2407.14680
Autor:
Shokry, Ahmed, Youssef, Moustafa
Effective access points (APs) selection is a crucial step in localization systems. It directly affects both localization accuracy and computational efficiency. Classical APs selection algorithms are usually computationally expensive, hindering the de
Externí odkaz:
http://arxiv.org/abs/2407.08943
Autor:
Sulaiman, Marwah, Shehabeldin, Zahraa, Fahmy, Israa, Barakat, Mohammed, El-Naggar, Mohammed, Hussein, Dareen, Youssef, Moustafa, Eraqi, Hesham M.
Recently, video super resolution (VSR) has become a very impactful task in the area of Computer Vision due to its various applications. In this paper, we propose Recurrent Back-Projection Generative Adversarial Network (RBPGAN) for VSR in an attempt
Externí odkaz:
http://arxiv.org/abs/2311.09178
Autor:
Mokbel, Mohamed, Sakr, Mahmoud, Xiong, Li, Züfle, Andreas, Almeida, Jussara, Anderson, Taylor, Aref, Walid, Andrienko, Gennady, Andrienko, Natalia, Cao, Yang, Chawla, Sanjay, Cheng, Reynold, Chrysanthis, Panos, Fei, Xiqi, Ghinita, Gabriel, Graser, Anita, Gunopulos, Dimitrios, Jensen, Christian, Kim, Joon-Seok, Kim, Kyoung-Sook, Kröger, Peer, Krumm, John, Lauer, Johannes, Magdy, Amr, Nascimento, Mario, Ravada, Siva, Renz, Matthias, Sacharidis, Dimitris, Shahabi, Cyrus, Salim, Flora, Sarwat, Mohamed, Schoemans, Maxime, Speckmann, Bettina, Tanin, Egemen, Teng, Xu, Theodoridis, Yannis, Torp, Kristian, Trajcevski, Goce, van Kreveld, Marc, Wenk, Carola, Werner, Martin, Wong, Raymond, Wu, Song, Xu, Jianqiu, Youssef, Moustafa, Zeinalipour, Demetris, Zhang, Mengxuan, Zimányi, Esteban
Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously. In recent ye
Externí odkaz:
http://arxiv.org/abs/2307.05717
The recent release of the third generation partnership project, Release 17, calls for sub-meter cellular positioning accuracy with reduced latency in calculation. To provide such high accuracy on a worldwide scale, leveraging the received signal stre
Externí odkaz:
http://arxiv.org/abs/2306.08108
Indoor localization systems have become increasingly important in a wide range of applications, including industry, security, logistics, and emergency services. However, the growing demand for accurate localization has heightened concerns over privac
Externí odkaz:
http://arxiv.org/abs/2306.02211