Zobrazeno 1 - 10
of 44 912
pro vyhledávání: '"A. Hala"'
Autor:
Hawashin, Hala, Sadrzadeh, Mehrnoosh
While large language models (LLMs) have advanced the field of natural language processing (NLP), their "black box" nature obscures their decision-making processes. To address this, researchers developed structured approaches using higher order tensor
Externí odkaz:
http://arxiv.org/abs/2411.04242
Autor:
Algrain, Hala, Cardosa, Elizabeth, Desai, Shekha, Fong, Eugene, Ringoir, Tanguy, Ashqar, Huthaifa I.
The Affordable Care Act was signed into law in 2010, expanding Medicaid and improving access to care for millions of low-income Americans. Fewer uninsured individuals reduced the cost of uncompensated care, consequently improving the financial health
Externí odkaz:
http://arxiv.org/abs/2411.03140
Autor:
Hawashin, Hala
Despite significant advances in quantum computing across various domains, research on applying quantum approaches to language compositionality - such as modeling linguistic structures and interactions - remains limited. This gap extends to the integr
Externí odkaz:
http://arxiv.org/abs/2411.05023
Autor:
Eidous, Omar, Maqableh, Hala
Studying overlapping coefficients has recently become of great benefit, especially after its use in goodness-of-fit tests. These coefficients are defined as the amount of similarity between two statistical distributions. This research examines the es
Externí odkaz:
http://arxiv.org/abs/2409.02950
This paper presents an innovative approach utilizing in-memory computing (IMC) for the development and integration of AES (Advanced Encryption Standard) cipher technique. Our research aims to enhance cybersecurity measures for a wide range of applica
Externí odkaz:
http://arxiv.org/abs/2408.11570
Recently, interest in quantum computing has significantly increased, driven by its potential advantages over classical techniques. Quantum machine learning (QML) exemplifies one of the important quantum computing applications that are expected to sur
Externí odkaz:
http://arxiv.org/abs/2408.08701
Vision Transformers (ViTs) have achieved significant advancement in computer vision tasks due to their powerful modeling capacity. However, their performance notably degrades when trained with insufficient data due to lack of inherent inductive biase
Externí odkaz:
http://arxiv.org/abs/2407.07516
Re-configurable Intelligent Surfaces (RIS) technology is increasingly becoming a potential component for next-generation wireless networks, offering enhanced performance in terms of throughput, spectral, and energy efficiency. However, the broadcast
Externí odkaz:
http://arxiv.org/abs/2405.00426
Autor:
Djeghim, Hala, Piasco, Nathan, Bennehar, Moussab, Roldão, Luis, Tsishkou, Dzmitry, Sidibé, Désiré
Neural implicit surface representation methods have recently shown impressive 3D reconstruction results. However, existing solutions struggle to reconstruct urban outdoor scenes due to their large, unbounded, and highly detailed nature. Hence, to ach
Externí odkaz:
http://arxiv.org/abs/2403.10344
Autor:
Olayé, Jules, Bouzidi, Hala, Aristov, Andrey, Ramos, Salomé Gutiérrez, Baroud, Charles, Bansaye, Vincent
The growth of a population is often modeled as branching process where each individual at the end of its life is replaced by a certain number of offspring. An example of these branching models is the Bellman-Harris process, where the lifetime of indi
Externí odkaz:
http://arxiv.org/abs/2402.03842