Zobrazeno 1 - 10
of 19 120
pro vyhledávání: '"Mohamed, E. A."'
Automated market makers (AMMs) are a form of decentralized cryptocurrency exchanges and considered a prime example of Decentralized Finance (DeFi) applications. Their popularity and high trading activity have resulted in millions of on-chain transact
Externí odkaz:
http://arxiv.org/abs/2406.17094
Autor:
Abdelaziz, Mohamed E. M. K., Tian, Libaihe, Lottner, Thomas, Reiss, Simon, Heidt, Timo, Maier, Alexander, Düring, Klaus, Mühlen, Constantin von zur, Bock, Michael, Yeatman, Eric, Yang, Guang-Zhong, Temelkuran, Burak
Cardiovascular diseases (CVDs) and congenital heart diseases (CHD) pose significant global health challenges. Fluoroscopy-guided endovascular interventions, though effective, are accompanied by ionizing radiation concerns, especially in pediatric cas
Externí odkaz:
http://arxiv.org/abs/2403.05485
Cryptocurrencies and blockchain technology provide an innovative model for reshaping digital services. Driven by the movement toward Web 3.0, recent systems started to provide distributed services, such as computation outsourcing or file storage, on
Externí odkaz:
http://arxiv.org/abs/2402.16095
Autor:
Li, Jiazhi, Khayatkhoei, Mahyar, Zhu, Jiageng, Xie, Hanchen, Hussein, Mohamed E., AbdAlmageed, Wael
Ensuring a neural network is not relying on protected attributes (e.g., race, sex, age) for prediction is crucial in advancing fair and trustworthy AI. While several promising methods for removing attribute bias in neural networks have been proposed,
Externí odkaz:
http://arxiv.org/abs/2311.07141
Autor:
Li, Jiazhi, Khayatkhoei, Mahyar, Zhu, Jiageng, Xie, Hanchen, Hussein, Mohamed E., AbdAlmageed, Wael
Ensuring a neural network is not relying on protected attributes (e.g., race, sex, age) for predictions is crucial in advancing fair and trustworthy AI. While several promising methods for removing attribute bias in neural networks have been proposed
Externí odkaz:
http://arxiv.org/abs/2310.04955
Autor:
Zhu, Jiageng, Xie, Hanchen, Wu, Jianhua, Li, Jiazhi, Khayatkhoei, Mahyar, Hussein, Mohamed E., AbdAlmageed, Wael
Discovering causal relations among semantic factors is an emergent topic in representation learning. Most causal representation learning (CRL) methods are fully supervised, which is impractical due to costly labeling. To resolve this restriction, wea
Externí odkaz:
http://arxiv.org/abs/2308.05707
Autor:
Mohammad H. Rahman, Mohamed E. El Zowalaty, Linda Falgenhauer, Mohammad Ferdousur Rahman Khan, Jahangir Alam, Najmun Nahar Popy, Md. Bahanur Rahman
Publikováno v:
Journal of Global Antimicrobial Resistance, Vol 38, Iss , Pp 111-115 (2024)
ABSTRACT: Objectives: The emergence of antimicrobial-resistant and mastitis-associated Enterococcus faecalis and Enterococcus faecium is of great concern due to the huge economic losses associated with enterococcal infections. Here we report the draf
Externí odkaz:
https://doaj.org/article/4aa4c260991544e289820c6849c44f2e
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 11, Iss 1, Pp 1-21 (2024)
Abstract Background The discovery of new lead compounds with desired properties and biological activity is an excellent challenge in pesticide chemistry. Chloroacetamide are an important class of synthetic herbicides. Results To explore the herbicida
Externí odkaz:
https://doaj.org/article/612f7c64e9ea4c76bd222de6d1aaac4d
Autor:
Rowan Swann, Daniel Hernández-Valdés, Luis Rafael Silva, Yusra Mahmood Marfatia, Mohamed E. El-Zaria, Afaf R. Genady, Jacek M. Kwiecien, John F. Valliant, Saman Sadeghi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The development of a non-invasive infection-specific diagnostic probe holds the potential to vastly improve early-stage detection of infection, enabling precise therapeutic intervention and potentially reducing the incidence of antibiotic re
Externí odkaz:
https://doaj.org/article/c7b341b4b2b24371bd4940472d18e5aa