Zobrazeno 1 - 10
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pro vyhledávání: '"A, Ezzat"'
We investigate the phenomenological implications of the \( B-L \) extension of the Standard Model (BLSM) at the Large Hadron Collider (LHC), with an emphasis on the production and decay of the \( Z' \) boson into pairs of right-handed neutrinos (RHNs
Externí odkaz:
http://arxiv.org/abs/2412.19269
The large-scale allocation of public resources (e.g., transportation, energy) is among the core challenges of future Cyber-Physical-Human Systems (CPHS). In order to guarantee that these systems are efficient and fair, recent works have investigated
Externí odkaz:
http://arxiv.org/abs/2412.17002
Autor:
Henrich, Pit, Liu, Jiawei, Ge, Jiawei, Schmidgall, Samuel, Shepard, Lauren, Ghazi, Ahmed Ezzat, Mathis-Ullrich, Franziska, Krieger, Axel
To track tumors during surgery, information from preoperative CT scans is used to determine their position. However, as the surgeon operates, the tumor may be deformed which presents a major hurdle for accurately resecting the tumor, and can lead to
Externí odkaz:
http://arxiv.org/abs/2411.02619
To unlock access to stronger winds, the offshore wind industry is advancing with significantly larger and taller wind turbines. This massive upscaling motivates a departure from univariate wind forecasting methods that traditionally focused on a sing
Externí odkaz:
http://arxiv.org/abs/2410.20166
Autor:
Kmainasi, Mohamed Bayan, Shahroor, Ali Ezzat, Hasanain, Maram, Laskar, Sahinur Rahman, Hassan, Naeemul, Alam, Firoj
Large Language Models (LLMs) have demonstrated remarkable success as general-purpose task solvers across various fields, including NLP, healthcare, finance, and law. However, their capabilities remain limited when addressing domain-specific problems,
Externí odkaz:
http://arxiv.org/abs/2410.15308
Autor:
Kmainasi, Mohamed Bayan, Khan, Rakif, Shahroor, Ali Ezzat, Bendou, Boushra, Hasanain, Maram, Alam, Firoj
Large language models (LLMs) have shown remarkable abilities in different fields, including standard Natural Language Processing (NLP) tasks. To elicit knowledge from LLMs, prompts play a key role, consisting of natural language instructions. Most op
Externí odkaz:
http://arxiv.org/abs/2409.07054
A system of non-tradable credits that flow between individuals like karma, hence proposed under that name, is a mechanism for repeated resource allocation that comes with attractive efficiency and fairness properties, in theory. In this study, we tes
Externí odkaz:
http://arxiv.org/abs/2404.02687
Autor:
Berriaud, Damien, Elokda, Ezzat, Jalota, Devansh, Frazzoli, Emilio, Pavone, Marco, Dörfler, Florian
Recent years have seen a surge of artificial currency-based mechanisms in contexts where monetary instruments are deemed unfair or inappropriate, e.g., in allocating food donations to food banks, course seats to students, and, more recently, even for
Externí odkaz:
http://arxiv.org/abs/2403.04057
Autor:
Aya Mohamed Bassam Hashem, Nevien Ezzat Mohamed El-Liethy, Osama Mohamed Helmy Noor El-Din, Mostafa Ezzat Mahmoud, Lamiaa Mohamed Bassam Hashem
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 55, Iss 1, Pp 1-16 (2024)
Abstract Background As one of the most prevalent chronic degenerative diseases, knee osteoarthritis (KOA) is associated with the progressive degradation of articular cartilage, meniscus, synovium, ligaments, bone, muscles, and tendons. Knee osteoarth
Externí odkaz:
https://doaj.org/article/508495c13f3b49339a93e9f6f219a734
The dominant paradigm for end-to-end robot learning focuses on optimizing task-specific objectives that solve a single robotic problem such as picking up an object or reaching a target position. However, recent work on high-capacity models in robotic
Externí odkaz:
http://arxiv.org/abs/2401.00678