Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Yasir Zaki"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Over two-thirds of the U.S. population uses YouTube, and a quarter of U.S. adults regularly receive their news from it. Despite the massive political content available on the platform, to date, no classifier has been proposed to classify the
Externí odkaz:
https://doaj.org/article/ec8e57b71f3148528bad5d4a25358bd0
Autor:
Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu, Sidahmed Benabderrahmane, Bashar Alhafni, Wifag Adnan, Tuka Alhanai, Bedoor AlShebli, Riyadh Baghdadi, Jocelyn J. Bélanger, Elena Beretta, Kemal Celik, Moumena Chaqfeh, Mohammed F. Daqaq, Zaynab El Bernoussi, Daryl Fougnie, Borja Garcia de Soto, Alberto Gandolfi, Andras Gyorgy, Nizar Habash, J. Andrew Harris, Aaron Kaufman, Lefteris Kirousis, Korhan Kocak, Kangsan Lee, Seungah S. Lee, Samreen Malik, Michail Maniatakos, David Melcher, Azzam Mourad, Minsu Park, Mahmoud Rasras, Alicja Reuben, Dania Zantout, Nancy W. Gleason, Kinga Makovi, Talal Rahwan, Yasir Zaki
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from human-generated work. With the increasing accessibility of such technology, students across the
Externí odkaz:
https://doaj.org/article/a6143f2fd5e34aaaad35420a046e6a19
Autor:
Hossam M. Abdelghaffar, Moumena Chaqfeh, Nadja Fejzic, Talal Rahwan, Yasir Zaki, Monica Menendez
Publikováno v:
IEEE Access, Vol 11, Pp 25455-25466 (2023)
The number of Autonomous Vehicles (AVs) coexisting with conventional human-driven vehicles is expected to increase significantly in the coming years. This coexistence will last decades before full AV adoption is achieved worldwide. However, the cauti
Externí odkaz:
https://doaj.org/article/73602655a089475db226f195c4f6f273
Autor:
Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu, Sidahmed Benabderrahmane, Bashar Alhafni, Wifag Adnan, Tuka Alhanai, Bedoor AlShebli, Riyadh Baghdadi, Jocelyn J. Bélanger, Elena Beretta, Kemal Celik, Moumena Chaqfeh, Mohammed F. Daqaq, Zaynab El Bernoussi, Daryl Fougnie, Borja Garcia de Soto, Alberto Gandolfi, Andras Gyorgy, Nizar Habash, J. Andrew Harris, Aaron Kaufman, Lefteris Kirousis, Korhan Kocak, Kangsan Lee, Seungah S. Lee, Samreen Malik, Michail Maniatakos, David Melcher, Azzam Mourad, Minsu Park, Mahmoud Rasras, Alicja Reuben, Dania Zantout, Nancy W. Gleason, Kinga Makovi, Talal Rahwan, Yasir Zaki
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/c15b0814ec9a486f8393a68fa4d18f45
Autor:
Yasir Mehmood, Safdar Nawaz Khan Marwat, Koojana Kuladinithi, Anna Förster, Yasir Zaki, Carmelita Görg, Andreas Timm-Giel
Publikováno v:
Logistics Research, Vol 9, Iss 15, Pp 1-11 (2016)
All over the world, road congestion is among the most prevalent transport challenges usually in urban environments which not only increases fuel consumption and emission of harmful gases, but also causes stress for the drivers. Intelligent Transporta
Externí odkaz:
https://doaj.org/article/8a72a74fe88f4acd8b09e97dceff83b1
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6164 (2020)
It is well known that transport protocol performance is severely hindered by wireless channel impairments. We study the applicability of Machine Learning (ML) techniques to predict congestion status of 5G access networks, in particular mmWave links.
Externí odkaz:
https://doaj.org/article/5fb8846590054375a4e538fc0edb77a2
Publikováno v:
IEEE Intelligent Systems. 38:24-27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc9e83c8c23e828e4ab135a3997e9032
https://doi.org/10.1109/mis.2023.3255599
https://doi.org/10.1109/mis.2023.3255599
Autor:
Moumena Chaqfeh, Russell Coke, Jacinta Hu, Waleed Hashmi, Lakshmi Subramanian, Talal Rahwan, Yasir Zaki
Publikováno v:
ACM Transactions on the Web. 16:1-31
The amount of JavaScript used in web pages has substantially grown in the past decade, leading to large and complex pages that are computationally intensive for handheld mobile devices. Due to the increasing usage of these devices to access today’s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6801e32c2c4110e1a27895ac2dc05ea7
https://doi.org/10.1145/3550358
https://doi.org/10.1145/3550358
Autor:
Moumena Chaqfeh, Rohail Asim, Bedoor AlShebli, Muhammad Fareed Zaffar, Talal Rahwan, Yasir Zaki
Publikováno v:
Proceedings of the National Academy of Sciences. 120
The World Wide Web (WWW) empowers people in developing regions by eradicating illiteracy, supporting women, and generating economic opportunities. However, their reliance on limited bandwidth and low-end phones leaves them with a poorer browsing expe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::335df023d48d8e9284b18789c9c7d3e0
https://doi.org/10.1073/pnas.2212649120
https://doi.org/10.1073/pnas.2212649120
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W4-2021, Pp 101-106 (2021)
Classifying objects within aerial Light Detection and Ranging (LiDAR) data is an essential task to which machine learning (ML) is applied increasingly. ML has been shown to be more effective on LiDAR than imagery for classification, but most efforts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e263cfc64eea701f047a515fcdb7016
https://doi.org/10.5194/isprs-archives-xlvi-4-w4-2021-101-2021
https://doi.org/10.5194/isprs-archives-xlvi-4-w4-2021-101-2021