Zobrazeno 1 - 10
of 25 791
pro vyhledávání: '"Alotaibi AS"'
Autor:
AlShamlan NA, AlOmar RS, Aldossary R, Alahmari M, Alghamdi A, AlGhamdi M, Alkanaan N, AlReedy AH, AlOtaibi AS, Alghamdi NS
Publikováno v:
International Journal of Women's Health, Vol Volume 14, Pp 1749-1759 (2022)
Nouf A AlShamlan,1 Reem S AlOmar,1 Roba Aldossary,2 Maha Alahmari,2 Asma Alghamdi,2 Mawaddah AlGhamdi,2 Najla Alkanaan,2 Abdullah H AlReedy,1 Amani S AlOtaibi,3 Nada S Alghamdi4 1Department of Family and Community Medicine, College of Medicine, Imam
Externí odkaz:
https://doaj.org/article/c250a9d6cdee4d9f9e90d4f8ff416d50
Autor:
AL-Otaibi NE, Alotaibi AS, Albekairy NA, Shawaqfeh MS, Alotaibi M, Alharbi S, Alkatheri A, Albekairy AM
Publikováno v:
Transplant Research and Risk Management, Vol Volume 13, Pp 23-34 (2021)
Nouf E AL-Otaibi,1 Abdulmalik S Alotaibi,1 Nataleen A Albekairy,2 Mohammad S Shawaqfeh,3,4 Moawad Alotaibi,5 Shmeylan Alharbi,3,4,6 Abdulmalik Alkatheri,3,4,6 Abdulkreem M Albekairy3,4,6 1Clinical Pharmacy Department, College of Pharmacy, Umm Al Qura
Externí odkaz:
https://doaj.org/article/e9aa5272b5d44256b623c1569c57f24d
Autor:
Cassidy, Bill, Mcbride, Christian, Kendrick, Connah, Reeves, Neil D., Pappachan, Joseph M., Fernandez, Cornelius J., Chacko, Elias, Brüngel, Raphael, Friedrich, Christoph M., Alotaibi, Metib, AlWabel, Abdullah Abdulaziz, Alderwish, Mohammad, Lai, Kuan-Ying, Yap, Moi Hoon
Chronic wounds and associated complications present ever growing burdens for clinics and hospitals world wide. Venous, arterial, diabetic, and pressure wounds are becoming increasingly common globally. These conditions can result in highly debilitati
Externí odkaz:
http://arxiv.org/abs/2410.03359
Autor:
Cioppa, Anthony, Giancola, Silvio, Somers, Vladimir, Joos, Victor, Magera, Floriane, Held, Jan, Ghasemzadeh, Seyed Abolfazl, Zhou, Xin, Seweryn, Karolina, Kowalczyk, Mateusz, Mróz, Zuzanna, Łukasik, Szymon, Hałoń, Michał, Mkhallati, Hassan, Deliège, Adrien, Hinojosa, Carlos, Sanchez, Karen, Mansourian, Amir M., Miralles, Pierre, Barnich, Olivier, De Vleeschouwer, Christophe, Alahi, Alexandre, Ghanem, Bernard, Van Droogenbroeck, Marc, Gorski, Adam, Clapés, Albert, Boiarov, Andrei, Afanasiev, Anton, Xarles, Artur, Scott, Atom, Lim, ByoungKwon, Yeung, Calvin, Gonzalez, Cristian, Rüfenacht, Dominic, Pacilio, Enzo, Deuser, Fabian, Altawijri, Faisal Sami, Cachón, Francisco, Kim, HanKyul, Wang, Haobo, Choe, Hyeonmin, Kim, Hyunwoo J, Kim, Il-Min, Kang, Jae-Mo, Tursunboev, Jamshid, Yang, Jian, Hong, Jihwan, Lee, Jimin, Zhang, Jing, Lee, Junseok, Zhang, Kexin, Habel, Konrad, Jiao, Licheng, Li, Linyi, Gutiérrez-Pérez, Marc, Ortega, Marcelo, Li, Menglong, Lopatto, Milosz, Kasatkin, Nikita, Nemtsev, Nikolay, Oswald, Norbert, Udin, Oleg, Kononov, Pavel, Geng, Pei, Alotaibi, Saad Ghazai, Kim, Sehyung, Ulasen, Sergei, Escalera, Sergio, Zhang, Shanshan, Yang, Shuyuan, Moon, Sunghwan, Moeslund, Thomas B., Shandyba, Vasyl, Golovkin, Vladimir, Dai, Wei, Chung, WonTaek, Liu, Xinyu, Zhu, Yongqiang, Kim, Youngseo, Li, Yuan, Yang, Yuting, Xiao, Yuxuan, Cheng, Zehua, Li, Zhihao
The SoccerNet 2024 challenges represent the fourth annual video understanding challenges organized by the SoccerNet team. These challenges aim to advance research across multiple themes in football, including broadcast video understanding, field unde
Externí odkaz:
http://arxiv.org/abs/2409.10587
Autor:
Prabhushankar, Mohit, Kokilepersaud, Kiran, Quesada, Jorge, Yarici, Yavuz, Zhou, Chen, Alotaibi, Mohammad, AlRegib, Ghassan, Mustafa, Ahmad, Kumakov, Yusufjon
Crowdsourcing annotations has created a paradigm shift in the availability of labeled data for machine learning. Availability of large datasets has accelerated progress in common knowledge applications involving visual and language data. However, spe
Externí odkaz:
http://arxiv.org/abs/2408.11185
Autor:
Alotaibi, Omar, Mark, Brian L.
We present a novel filtering algorithm that employs Bayesian transfer learning to address the challenges posed by mismatched intensity of the noise in a pair of sensors, each of which tracks an object using a nonlinear dynamic system model. In this s
Externí odkaz:
http://arxiv.org/abs/2408.07157
Autor:
Bari, M Saiful, Alnumay, Yazeed, Alzahrani, Norah A., Alotaibi, Nouf M., Alyahya, Hisham A., AlRashed, Sultan, Mirza, Faisal A., Alsubaie, Shaykhah Z., Alahmed, Hassan A., Alabduljabbar, Ghadah, Alkhathran, Raghad, Almushayqih, Yousef, Alnajim, Raneem, Alsubaihi, Salman, Mansour, Maryam Al, Alrubaian, Majed, Alammari, Ali, Alawami, Zaki, Al-Thubaity, Abdulmohsen, Abdelali, Ahmed, Kuriakose, Jeril, Abujabal, Abdalghani, Al-Twairesh, Nora, Alowisheq, Areeb, Khan, Haidar
We present ALLaM: Arabic Large Language Model, a series of large language models to support the ecosystem of Arabic Language Technologies (ALT). ALLaM is carefully trained considering the values of language alignment and knowledge transfer at scale.
Externí odkaz:
http://arxiv.org/abs/2407.15390
With the proliferation of edge devices, there is a significant increase in attack surface on these devices. The decentralized deployment of threat intelligence on edge devices, coupled with adaptive machine learning techniques such as the in-context
Externí odkaz:
http://arxiv.org/abs/2405.08755
Autor:
Zhu, Yiwen, Tian, Yuanyuan, Cahoon, Joyce, Krishnan, Subru, Agarwal, Ankita, Alotaibi, Rana, Camacho-Rodríguez, Jesús, Chundatt, Bibin, Chung, Andrew, Dutta, Niharika, Fogarty, Andrew, Gruenheid, Anja, Haynes, Brandon, Interlandi, Matteo, Iyer, Minu, Jurgens, Nick, Khushalani, Sumeet, Kroth, Brian, Kumar, Manoj, Leeka, Jyoti, Matusevych, Sergiy, Mittal, Minni, Mueller, Andreas, Muthyala, Kartheek, Nagulapalli, Harsha, Park, Yoonjae, Patel, Hiren, Pavlenko, Anna, Poppe, Olga, Ravindran, Santhosh, Saur, Karla, Sen, Rathijit, Suh, Steve, Tarafdar, Arijit, Waghray, Kunal, Wang, Demin, Curino, Carlo, Ramakrishnan, Raghu
Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range of tasks. However, the cloud brings in both complexity and opportunit
Externí odkaz:
http://arxiv.org/abs/2405.01813
Autor:
Silaghi, Viorel, Alssadi, Zobaida, Mathew, Ben, Alotaibi, Majed, Alqarni, Ali, Silaghi, Marius
Public availability of Artificial Intelligence generated information can change the markets forever, and its factoring into economical dynamics may take economists by surprise, out-dating models and schools of thought. Real estate hyper-inflation is
Externí odkaz:
http://arxiv.org/abs/2405.18434