Zobrazeno 1 - 10
of 13 966
pro vyhledávání: '"A. Basem"'
Autor:
C. A. Onate, I. B. Okon, E. Omugbe, A. Basem, B. F. Castillo Parra, K. O. Emeje, J. A. Owolabi, A. R. Obasuyi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The approximate solutions of the Dirac equation for spin symmetry and pseudospin symmetry are studied with a coshine Yukawa potential model via the traditional supersymmetric approach (SUSY). To remove the degeneracies in both the spin and p
Externí odkaz:
https://doaj.org/article/9634e344af3e4bcf92113be7de1e8652
Autor:
Khurdula, Harsha Vardhan, Rizk, Basem, Khaitan, Indus, Anjaria, Janit, Srivastava, Aviral, Khaitan, Rajvardhan
Current benchmarks for evaluating Vision Language Models (VLMs) often fall short in thoroughly assessing model abilities to understand and process complex visual and textual content. They typically focus on simple tasks that do not require deep reaso
Externí odkaz:
http://arxiv.org/abs/2411.15201
Autor:
Lin, Spencer, Rizk, Basem, Jun, Miru, Artze, Andy, Sullivan, Caitlin, Mozgai, Sharon, Fisher, Scott
The rise in capability and ubiquity of generative artificial intelligence (AI) technologies has enabled its application to the field of Socially Interactive Agents (SIAs). Despite rising interest in modern AI-powered components used for real-time SIA
Externí odkaz:
http://arxiv.org/abs/2410.20116
Autor:
van Beekveld, Melissa, Dasgupta, Mrinal, El-Menoufi, Basem Kamal, Helliwell, Jack, Monni, Pier Francesco, Salam, Gavin P.
We formulate a collinear partonic shower algorithm that achieves next-to-single-logarithmic (NSL, $\alpha_s^n L^{n-1}$) accuracy for collinear-sensitive non-singlet fragmentation observables. This entails the development of an algorithm for nesting t
Externí odkaz:
http://arxiv.org/abs/2409.08316
In the growing field of blockchain technology, smart contracts exist as transformative digital agreements that execute transactions autonomously in decentralised networks. However, these contracts face challenges in the form of security vulnerabiliti
Externí odkaz:
http://arxiv.org/abs/2407.07922
With the deployment of satellite constellations, Internet-of-Things (IoT) devices in remote areas have gained access to low-cost network connectivity. In this paper, we investigate the performance of IoT devices connecting in up-link through low Eart
Externí odkaz:
http://arxiv.org/abs/2406.19677
Autor:
Suleiman, Basem, Alibasa, Muhammad Johan, Purwanto, Rizka Widyarini, Jeffries, Lewis, Anaissi, Ali, Song, Jacky
Federated Learning (FL) enables local devices to collaboratively learn a shared predictive model by only periodically sharing model parameters with a central aggregator. However, FL can be disadvantaged by statistical heterogeneity produced by the di
Externí odkaz:
http://arxiv.org/abs/2406.06340
Autor:
van Beekveld, Melissa, Dasgupta, Mrinal, El-Menoufi, Basem Kamal, Ravasio, Silvia Ferrario, Hamilton, Keith, Helliwell, Jack, Karlberg, Alexander, Monni, Pier Francesco, Salam, Gavin P., Scyboz, Ludovic, Soto-Ontoso, Alba, Soyez, Gregory
We report on a major milestone in the construction of logarithmically accurate final-state parton showers, achieving next-to-next-to-leading-logarithmic (NNLL) accuracy for the wide class of observables known as event shapes. The key to this advance
Externí odkaz:
http://arxiv.org/abs/2406.02661
Understanding the conversation abilities of Large Language Models (LLMs) can help lead to its more cautious and appropriate deployment. This is especially important for safety-critical domains like mental health, where someone's life may depend on th
Externí odkaz:
http://arxiv.org/abs/2403.09705
Autor:
van Beekveld, Melissa, Dasgupta, Mrinal, El-Menoufi, Basem Kamal, Helliwell, Jack, Karlberg, Alexander, Monni, Pier Francesco
Publikováno v:
JHEP07(2024)239
We study the collinear fragmentation of highly energetic jets defined with a small jet radius. In particular, we investigate how the corresponding fragmentation functions differ from their hadronic counterpart defined in the common $\overline{\rm MS}
Externí odkaz:
http://arxiv.org/abs/2402.05170