Zobrazeno 1 - 10
of 39 576
pro vyhledávání: '"A, Asmaa. A."'
Websites have become increasingly important in people's lives, fulfilling a wide range of needs across various domains such as shopping, education, news, and booking. Among the most heavily used website categories are online shopping platforms, whose
Externí odkaz:
http://arxiv.org/abs/2411.12770
Autor:
Mazoun, Asmaa, Bocquet, Sebastian, Mohr, Joseph J., Garny, Mathias, Rubira, Henrique, Klein, Matthias, Bleem, Lindsey, Grandis, Sebastian, Schrabback, Tim
We use galaxy cluster abundance measurements from the South Pole Telescope (SPT) enhanced by Multi-Component Matched Filter (MCMF) confirmation and complemented with mass information obtained using weak-lensing data from Dark Energy Survey Year~3 (DE
Externí odkaz:
http://arxiv.org/abs/2411.19911
Autor:
Miangolarra, Olga Movilla, Eldesoukey, Asmaa, Miangolarra, Ander Movilla, Georgiou, Tryphon T.
Reaction-diffusion equations are commonly used to model a diverse array of complex systems, including biological, chemical, and physical processes. Typically, these models are phenomenological, requiring the fitting of parameters to experimental data
Externí odkaz:
http://arxiv.org/abs/2411.09880
Autor:
Abada, Asmaa, Bernal, Nicolás, Hernández, Antonio E. Cárcamo, Kovalenko, Sergey, de Melo, Téssio B., Toma, Takashi
In this talk, we discuss the phenomenology of radiative 3-loop seesaw models. The 3-loop suppression allows the new particles to have masses at the TeV scale, along with relatively large Yukawa couplings, while retaining consistency with neutrino mas
Externí odkaz:
http://arxiv.org/abs/2411.00020
Autor:
Nazar, Ahmad M., Celik, Abdulkadir, Selim, Mohamed Y., Abdallah, Asmaa, Qiao, Daji, Eltawil, Ahmed M.
Large language models (LLMs) hold significant promise in advancing network management and orchestration in 6G and beyond networks. However, existing LLMs are limited in domain-specific knowledge and their ability to handle multi-modal sensory data, w
Externí odkaz:
http://arxiv.org/abs/2410.18104
Autor:
Benchama, Asmaa, Zebbara, Khalid
Publikováno v:
Data and Metadata, 2023 Dec. 28
This paper introduces an innovative intrusion detection system that harnesses Generative Adversarial Networks (GANs), Multi-Scale Convolutional Neural Networks (MSCNNs), and Bidirectional Long Short-Term Memory (BiLSTM) networks, supplemented by Loca
Externí odkaz:
http://arxiv.org/abs/2406.05443
Autor:
Benchama, Asmaa, Zebbara, Khalid
Publikováno v:
International Journal of Computer Networks & Communications (IJCNC) Vol.16, No.3, May 2024
Deep learning is currently extensively employed across a range of research domains. The continuous advancements in deep learning techniques contribute to solving intricate challenges. Activation functions (AF) are fundamental components within neural
Externí odkaz:
http://arxiv.org/abs/2405.20503
In this paper, it was proposed a new concept of the inexact higher degree $(\delta, L, q)$-model of a function that is a generalization of the inexact $(\delta, L)$-model, $(\delta, L)$-oracle and $(\delta, L)$-oracle of degree $q \in [0,2)$. Some ex
Externí odkaz:
http://arxiv.org/abs/2405.16140
Autor:
Abada, Asmaa, Bernal, Nicolás, Hernández, Antonio E. Cárcamo, Kovalenko, Sergey, de Melo, Téssio B., Toma, Takashi
Radiative seesaw models are examples of interesting and testable extensions of the Standard Model to explain the light neutrino masses. In radiative models at 1-loop level, such as the popular scotogenic model, in order to successfully reproduce neut
Externí odkaz:
http://arxiv.org/abs/2405.12242
Autor:
Abada, Asmaa, Toma, Takashi
Publikováno v:
JHEP 08 (2024) 128
In this work, we address the impact of a small lepton number violation on charged lepton electric dipole moments - EDMs. Low-scale seesaw models protected by lepton number symmetry and leading to pseudo-Dirac pairs in the neutrino heavy spectrum prov
Externí odkaz:
http://arxiv.org/abs/2405.01648