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pro vyhledávání: '"Naji, A"'
In this note we report observations on the growth trends of diffraction power loss and ohmic power loss, as functions of screen thickness, in highly overmoded THz iris-line waveguides that are constructed from thin screens. Recent theoretical develop
Externí odkaz:
http://arxiv.org/abs/2409.01455
Autor:
Andreina, Sébastien, Cloosters, Tobias, Davi, Lucas, Giesen, Jens-Rene, Gutfleisch, Marco, Karame, Ghassan, Naiakshina, Alena, Naji, Houda
Solana gained considerable attention as one of the most popular blockchain platforms for deploying decentralized applications. Compared to Ethereum, however, we observe a lack of research on how Solana smart contract developers handle security, what
Externí odkaz:
http://arxiv.org/abs/2406.13599
Autor:
Nahass, George R., Kaplan, Nicolas, Scharf, Isabel, Saini, Devansh, Zeid, Naji Bou, Kazmouz, Sobhi, Zhao, Linping, Alkureishi, Lee W. T.
The fibula-free flap (FFF) is a valuable reconstructive technique in maxillofacial surgery; however, the assessment of osteotomy accuracy remains challenging. We devised two novel methodologies to compare planned and postoperative osteotomies in FFF
Externí odkaz:
http://arxiv.org/abs/2406.02824
Federated learning (FL) is a popular solution for distributed machine learning (ML). While FL has traditionally been studied for supervised ML tasks, in many applications, it is impractical to assume availability of labeled data across devices. To th
Externí odkaz:
http://arxiv.org/abs/2404.09861
In this article, we introduce the notion of regular fusible modules. Let $R$ be a ring with an identity and $M$ an $R$-module. An element $0\neq m\in M$ is said to be regular fusible if there exists $r\in R$, a non zero-divisor of $M$, such that $mr$
Externí odkaz:
http://arxiv.org/abs/2403.13939
Publikováno v:
IEEE Transactions on Medical Imaging, 2024
The use of machine learning (ML) for cancer staging through medical image analysis has gained substantial interest across medical disciplines. When accompanied by the innovative federated learning (FL) framework, ML techniques can further overcome pr
Externí odkaz:
http://arxiv.org/abs/2401.03609
This study delves into the application of Generative Adversarial Networks (GANs) within the context of imbalanced datasets. Our primary aim is to enhance the performance and stability of GANs in such datasets. In pursuit of this objective, we introdu
Externí odkaz:
http://arxiv.org/abs/2312.04862
Autor:
Naji, Hamid Reza, Ayati, Aref
This paper presents an efficient risk management model for unmanned aerial vehicles or UAVs. Our proposed risk management establishes a cyclic model with a continuous and iterative structure that is very adaptable to agile methods and all IT-related
Externí odkaz:
http://arxiv.org/abs/2311.05648
The nonequilibrium dynamics of a periodically driven extended XY model, in the presence of linear time dependent magnetic filed, is investigated using the notion of dynamical quantum phase transitions (DQPTs). Along the similar lines to the equilibri
Externí odkaz:
http://arxiv.org/abs/2310.15101
Autor:
Jing, Taotao, Wang, Lichen, Khosravan, Naji, Wan, Zhiqiang, Bessinger, Zachary, Ding, Zhengming, Kang, Sing Bing
Room layout estimation predicts layouts from a single panorama. It requires datasets with large-scale and diverse room shapes to train the models. However, there are significant imbalances in real-world datasets including the dimensions of layout com
Externí odkaz:
http://arxiv.org/abs/2308.15050