Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Ahmed, Abdulhakim"'
Autor:
Rui Fu, Xiaomei Gai, Ahmed Abdulhakim Al-Absi, Mohammed Abdulhakim Al-Absi, Muhammad Alam, Ye Li, Meng Jiang, Xuewei Wang
Publikováno v:
IEEE Access, Vol 12, Pp 150941-150952 (2024)
Emotion recognition is an important part of human-computer interaction and human communication information is multi-model. Despite advancements in emotion recognition models, certain challenges persist. The first problem (Problem 1) pertains to the p
Externí odkaz:
https://doaj.org/article/ff6177d97bb44ef0a7e07c1fdf0faa7c
Autor:
Ahmed, Abdulhakim, Doubre, Cecile, Leroy, Sylvie, Keir, Derek, Pagli, Carolina, Hammond, James O.S., Ayele, Atalay, Be de Berc, Maxime, Grunberg, Marc, Vergne, Jerome, Pestourie, Romain, Mamo, Daniel, Kibret, Birhanu, Cubas, Nadaya, Lavayssière, Aude, Janowski, Marianne, Lengliné, Olivier, La Rosa, Alessandro, Chambers, Emma L., Illsley-Kemp, Finnigan
Publikováno v:
In Journal of African Earth Sciences August 2022 192
Autor:
Rui Fu, Mohammed Abdulhakim Al-Absi, Ki-Hwan Kim, Young-Sil Lee, Ahmed Abdulhakim Al-Absi, Hoon-Jae Lee
Publikováno v:
IEEE Access, Vol 9, Pp 161431-161444 (2021)
This paper presents drone classification at millimeter-wave (mmWave) radars using the deep learning (DL) technique. The adoption mmWave technology in radar systems enables better resolution and aid in detecting smaller drones. Using radar cross-secti
Externí odkaz:
https://doaj.org/article/cb48127d924e4ad3afbc8b0af42483a8
Autor:
Ahmed, Abdulhakim
Publikováno v:
ProQuest Full Text.
Thesis (M.App.Sc.) - Carleton University, 2005.
Includes bibliographical references (p. 110-113). Also available in electronic format on the Internet.
Includes bibliographical references (p. 110-113). Also available in electronic format on the Internet.
Externí odkaz:
http://proxy.library.carleton.ca/login?url=http://wwwlib.umi.com/cr/carleton/fullcit?pMR06784
Akademický článek
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Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11313 (2022)
Recently, with the advancement of technology, unmanned aerial vehicles (UAVs) have had a significant impact on our daily lives. UAVs have gained critical importance due to their potential threat. In this study, the problem of UAV tracks were investig
Externí odkaz:
https://doaj.org/article/25099ba95c164c7c9e227eab91565ac5
Publikováno v:
Computers, Materials & Continua. 74:671-691
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eebe26e33bed5051cab87afd7c8be8b
https://doi.org/10.32604/cmc.2023.030262
https://doi.org/10.32604/cmc.2023.030262
Publikováno v:
Sensors, Vol 22, Iss 3, p 1204 (2022)
Personalized diagnosis of chronic disease requires capturing the continual pattern across the biological sequence. This repeating pattern in medical science is called “Motif”. Motifs are the short, recurring patterns of biological sequences that
Externí odkaz:
https://doaj.org/article/714c181e44d64d63823d68f6b6dc4da2
Autor:
Mohammed Abdulhakim Al-Absi, Ahmed Abdulhakim Al-Absi, Rui Fu, Ki-Hwan Kim, Young-Sil Lee, Byung-Gook Lee, Sang-Gon Lee, Hoon-Jae Lee
Publikováno v:
Sensors, Vol 21, Iss 14, p 4935 (2021)
The evolution of the internet has led to the growth of smart application requirements on the go in the vehicular ad hoc network (VANET). VANET enables vehicles to communicate smartly among themselves wirelessly. Increasing usage of wireless technolog
Externí odkaz:
https://doaj.org/article/3066ed1e24624c5cb6209292a27841b8