Zobrazeno 1 - 10
of 2 159
pro vyhledávání: '"Oraby A"'
Autor:
Ferraz, Thomas Palmeira, Mehta, Kartik, Lin, Yu-Hsiang, Chang, Haw-Shiuan, Oraby, Shereen, Liu, Sijia, Subramanian, Vivek, Chung, Tagyoung, Bansal, Mohit, Peng, Nanyun
Instruction following is a key capability for LLMs. However, recent studies have shown that LLMs often struggle with instructions containing multiple constraints (e.g. a request to create a social media post "in a funny tone" with "no hashtag"). Desp
Externí odkaz:
http://arxiv.org/abs/2410.06458
Autor:
Nacianceno, M., Oraby, T., Rodrigo, H., Sepulveda, Y., Sifuentes, J., Suazo, E., Stuck, T., Williams, J.
In this work, a new relationship is established between the solutions of higher fractional differential equations and a Wright-type transformation. Solutions could be interpreted as expected values of functions in a random time process. As applicatio
Externí odkaz:
http://arxiv.org/abs/2404.00248
Autor:
Adjibi, Kolade, Martinez, Allan, Mascorro, Miguel, Montes, Carlos, Oraby, Tamer, Sandoval, Rita, Suazo, Erwin
We will present exact solutions for three variations of stochastic Korteweg de Vries-Burgers (KdV-Burgers) equation featuring variable coefficients. In each variant, white noise exhibits spatial uniformity, and the three categories include additive,
Externí odkaz:
http://arxiv.org/abs/2403.19959
Autor:
Galarza, Jose, Oraby, Tamer
In this paper, we show how convolutional neural networks (CNN) can be used in regression and classification learning problems of noisy and non-noisy functional data. The main idea is to transform the functional data into a 28 by 28 image. We use a sp
Externí odkaz:
http://arxiv.org/abs/2310.03773
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract A novel, environmentally friendly, and sensitive HPTLC method has been developed and validated for simultaneous quantification of duloxetine (DLX) and tadalafil (TDL) in their pure state, laboratory-prepared mixtures, and spiked human plasma
Externí odkaz:
https://doaj.org/article/46e20f1aa8d3485f94f5e01509af4097
Autor:
Khan Bilal Ahmad, Nadeem Muhammad Ather, Najeeb Alawadi Hussam F., Ayub Muhammad Ashar, Mahmood Athar, Abbas Tasawer, Nijabat Aneela, Ameen Muaz, Abdullah FNU, Oraby Hesham, Elnaggar Nehal
Publikováno v:
Green Processing and Synthesis, Vol 13, Iss 1, Pp 1212-319 (2024)
One of the most significant biotic constraints that wheat production faces is weed infestation. Wheat is infested with different weeds that cause yield losses (up to 100%) that vary based on the type of weed, their density, and the environmental cond
Externí odkaz:
https://doaj.org/article/238cc2e183d54a4cb95eb4873bf2d7ea
Autor:
Ghada E. Hegazy, Madelyn N. Moawad, Sarah Samir Othman, Nadia A. Soliman, Abdelwahab Abeer E, Hussein Oraby, Yasser R. Abdel–Fattah
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Halophilic archaea are a unique group of microorganisms that thrive in high–salt environments, exhibiting remarkable adaptations to survive extreme conditions. Archaeological wood and El–Hamra Lake serve as a substrate for a diverse rang
Externí odkaz:
https://doaj.org/article/3d2f7c14bba445a8b0cd2f467499adf4
Autor:
Nirmeen Kishk, Hassan Hosny, Reda Badry, Ibrahim Elmenshawi, Mohamed M. Hamdy, Ehab Shaker, Hatem S. Shehata, Rehab Magdy, Gihan M. Ramzy, Mahmoud Hemeda, Ahmed Gaber, Mohamed Abdelhamed, Ahmed Abohagar, Imane A. Yassine, Mohammed Abbas, Hala A. Shaheen, Mahmoud Abdel Moety, Hussein M. H. Metwally, Mohammad Ali Saeed, Ahmed Essmat, Ashraf Abdou, Rasha Hassan Soliman, Mohammed I. Oraby, Abd El‐Naser Morad, Shaimaa Mohammed Kasem, Magdy Aidaros, Yasser El Heneedy, Ahmed ElNemr, Ahmed Elkady, Ramy Amin, Walid A. Abdel Ghany, Ahmed A. Morsy, Hussein Hamdi, Reham Shamloul
Publikováno v:
Epilepsia Open, Vol 9, Iss 4, Pp 1233-1251 (2024)
Abstract Objective In epilepsy, early diagnosis, accurate determination of epilepsy type, proper selection of antiseizure medication, and monitoring are all essential. However, despite recent therapeutic advances and conceptual reconsiderations in th
Externí odkaz:
https://doaj.org/article/e8b3cf17531f4cbf8176fe3c1e21c124
Autor:
Tian, Yufei, Narayan-Chen, Anjali, Oraby, Shereen, Cervone, Alessandra, Sigurdsson, Gunnar, Tao, Chenyang, Zhao, Wenbo, Chen, Yiwen, Chung, Tagyoung, Huang, Jing, Peng, Nanyun
Automatic melody-to-lyric generation is a task in which song lyrics are generated to go with a given melody. It is of significant practical interest and more challenging than unconstrained lyric generation as the music imposes additional constraints
Externí odkaz:
http://arxiv.org/abs/2305.19228
Autor:
Tian, Yufei, Narayan-Chen, Anjali, Oraby, Shereen, Cervone, Alessandra, Sigurdsson, Gunnar, Tao, Chenyang, Zhao, Wenbo, Chung, Tagyoung, Huang, Jing, Peng, Nanyun
Automatic song writing is a topic of significant practical interest. However, its research is largely hindered by the lack of training data due to copyright concerns and challenged by its creative nature. Most noticeably, prior works often fall short
Externí odkaz:
http://arxiv.org/abs/2305.07760