Zobrazeno 1 - 10
of 142 969
pro vyhledávání: '"A Anwar"'
Synchronization forms the basis of many coordination phenomena in natural systems, enabling them to function cohesively and support their fundamental operations. However, there are scenarios where synchronization disrupts a system's proper functionin
Externí odkaz:
http://arxiv.org/abs/2411.19605
Autor:
Sall, Mohamadou, Hasan, M. Anwar
In 2022, a prominent supersingular isogeny-based cryptographic scheme, namely SIDH, was compromised by a key recovery attack. However, this attack does not undermine the isogeny path problem, which remains central to the security of isogeny-based cry
Externí odkaz:
http://arxiv.org/abs/2411.18844
Reconstructing continuous surfaces from unoriented and unordered 3D points is a fundamental challenge in computer vision and graphics. Recent advancements address this problem by training neural signed distance functions to pull 3D location queries t
Externí odkaz:
http://arxiv.org/abs/2411.17392
We study the collective dynamics of swarmalators subjected to periodic (sinusoidal) forcing. Although previous research focused on the simplified case of motion in a one-dimensional (1D) periodic domain, we extend this analysis to the more realistic
Externí odkaz:
http://arxiv.org/abs/2411.17336
Autor:
Allton, Chris, Aarts, Gert, Anwar, M. Naeem, Bignell, Ryan, Burns, Timothy J., García-Mascaraque, Sergio Chaves, Hands, Simon, Jäger, Benjamin, Kim, Seyong, Lombardo, Maria Paola, Page, Benjamin, Ryan, Sínead, Skullerud, Jon-Ivar, Smecca, Antonio, Spriggs, Thomas
The FASTSUM Collaboration has developed a comprehensive research programme in thermal lattice QCD using 2+1 flavour ensembles. We review our recent hadron spectrum analyses of open charm mesons and charm baryons at non-zero temperature. We also detai
Externí odkaz:
http://arxiv.org/abs/2411.15937
Autor:
Sayyid-Ali, Abdur-Rahman Ibrahim, Rafay, Abdul, Soomro, Muhammad Abdullah, Alizai, Muhammad Hamad, Bhatti, Naveed Anwar
Batteryless IoT systems face energy constraints exacerbated by checkpointing overhead. Approximate computing offers solutions but demands manual expertise, limiting scalability. This paper presents CheckMate, an automated framework leveraging LLMs fo
Externí odkaz:
http://arxiv.org/abs/2411.17732
Nowadays, the rapid diffusion of fake news poses a significant problem, as it can spread misinformation and confusion. This paper aims to develop an advanced machine learning solution for detecting fake news articles. Leveraging a comprehensive datas
Externí odkaz:
http://arxiv.org/abs/2411.10713
Autor:
Nejad, Sareh Soltani, Haque, Anwar
The widespread implementation of urban surveillance systems has necessitated more sophisticated techniques for anomaly detection to ensure enhanced public safety. This paper presents a significant advancement in the field of anomaly detection through
Externí odkaz:
http://arxiv.org/abs/2411.08755
A key objective of interpretability research on large language models (LLMs) is to develop methods for robustly steering models toward desired behaviors. To this end, two distinct approaches to interpretability -- ``bottom-up" and ``top-down" -- have
Externí odkaz:
http://arxiv.org/abs/2411.07213
Advancements in tracking algorithms have empowered nascent applications across various domains, from steering autonomous vehicles to guiding robots to enhancing augmented reality experiences for users. However, these algorithms are application-specif
Externí odkaz:
http://arxiv.org/abs/2411.07146