Zobrazeno 1 - 10
of 649 326
pro vyhledávání: '"Ibrahim, A. A."'
Isotropic $\alpha$-stable distributions are central in the theory of heavy-tailed distributions and play a role similar to that of the Gaussian density among finite second-moment laws. Given a sequence of $n$ observations, we are interested in charac
Externí odkaz:
http://arxiv.org/abs/2408.06269
Autor:
Basu, Kinjal, Abdelaziz, Ibrahim, Bradford, Kelsey, Crouse, Maxwell, Kate, Kiran, Kumaravel, Sadhana, Goyal, Saurabh, Munawar, Asim, Rizk, Yara, Wang, Xin, Lastras, Luis, Kapanipathi, Pavan
Autonomous agent applications powered by large language models (LLMs) have recently risen to prominence as effective tools for addressing complex real-world tasks. At their core, agentic workflows rely on LLMs to plan and execute the use of tools and
Externí odkaz:
http://arxiv.org/abs/2409.03797
Autor:
Oliveri, Hadrien, Cheddadi, Ibrahim
The growth of plants is a hydromechanical phenomenon in which cells enlarge by absorbing water, while their walls expand and remodel under turgor-induced tension. In multicellular tissues, where cells are mechanically interconnected, morphogenesis re
Externí odkaz:
http://arxiv.org/abs/2409.02775
Passive reflectors mitigate millimeter-wave (mmwave) link blockages by extending coverage to non-line-ofsight (NLoS) regions. However, their deployment often leads to irregular reflected beam patterns and coverage gaps. This results in rapid channel
Externí odkaz:
http://arxiv.org/abs/2409.01608
Autor:
Abdulmumin, Idris, Mkhwanazi, Sthembiso, Mbooi, Mahlatse S., Muhammad, Shamsuddeen Hassan, Ahmad, Ibrahim Said, Putini, Neo, Mathebula, Miehleketo, Shingange, Matimba, Gwadabe, Tajuddeen, Marivate, Vukosi
This paper describes the corrections made to the FLORES evaluation (dev and devtest) dataset for four African languages, namely Hausa, Northern Sotho (Sepedi), Xitsonga and isiZulu. The original dataset, though groundbreaking in its coverage of low-r
Externí odkaz:
http://arxiv.org/abs/2409.00626
The increasing complexity and scale of modern digital environments have exposed significant gaps in traditional cybersecurity penetration testing methods, which are often time-consuming, labor-intensive, and unable to rapidly adapt to emerging threat
Externí odkaz:
http://arxiv.org/abs/2409.03789
We examine stability properties of primal-dual gradient flow dynamics for composite convex optimization problems with multiple, possibly nonsmooth, terms in the objective function under the generalized consensus constraint. The proposed dynamics are
Externí odkaz:
http://arxiv.org/abs/2408.15969
This study explores the development of a hybrid deep convolutional neural network (DCNN) model enhanced by autoencoders and data augmentation techniques to predict critical heat flux (CHF) with high accuracy. By augmenting the original input features
Externí odkaz:
http://arxiv.org/abs/2408.14626
Autor:
Wang, Yicheng, Yuan, Jiayi, Chuang, Yu-Neng, Wang, Zhuoer, Liu, Yingchi, Cusick, Mark, Kulkarni, Param, Ji, Zhengping, Ibrahim, Yasser, Hu, Xia
Large Language Models (LLMs) are increasingly serving as evaluators in Natural Language Generation (NLG) tasks. However, the capabilities of LLMs in scoring NLG quality remain inadequately explored. Current studies depend on human assessments and sim
Externí odkaz:
http://arxiv.org/abs/2408.13704
Handling high-dimensional datasets presents substantial computational challenges, particularly when the number of features far exceeds the number of observations and when features are highly correlated. A modern approach to mitigate these issues is f
Externí odkaz:
http://arxiv.org/abs/2408.13000