Zobrazeno 1 - 10
of 16 807
pro vyhledávání: '"Mourad, P."'
Autor:
Choulli, Mourad, Takase, Hiroshi
We prove a new quantitative uniqueness of continuation for elliptic equations from Cauchy data. We provide a simple and direct proof based only on a Carleman inequality. Similar result for the Stokes equation is also shown.
Externí odkaz:
http://arxiv.org/abs/2411.03545
Autor:
Choulli, Mourad
This work is composed of two parts. We prove in the first part the uniqueness of the determination of the unbounded zero-order coefficient in a parabolic equation from boundary measurements. The novelty of our result is that it covers the largest cla
Externí odkaz:
http://arxiv.org/abs/2411.02901
A machine learning-based methodology for blending data-driven turbulent closures for the Reynolds-Averaged Navier-Stokes (RANS) equations is proposed to improve the generalizability across different flow scenarios. Data-driven models based on sparse
Externí odkaz:
http://arxiv.org/abs/2410.14431
Autor:
Li, Long, Sini, Mourad
We deal with the time-domain acoustic wave propagation in the presence of a subwavelength resonator given by a Minneart bubble. This bubble is small scaled and enjoys high contrasting mass density and bulk modulus. It is well known that, under certai
Externí odkaz:
http://arxiv.org/abs/2410.09630
Large language models have enabled agents of all kinds to interact with users through natural conversation. Consequently, agents now have two jobs: conversing and planning/reasoning. Their conversational responses must be informed by all available in
Externí odkaz:
http://arxiv.org/abs/2410.08328
Publikováno v:
Astrophysics and Space Science (Springer Nature) (2024) 369:102
We have carried out a detailed study of the GRB photospheric emission model predicting a quasi-blackbody spectrum slightly broader than a Planck function. This model was suggested within the relativistic fireball dynamics for interpreting a still not
Externí odkaz:
http://arxiv.org/abs/2410.07005
Publikováno v:
Proceedings of the The 6th Workshop on Narrative Understanding at EMNLP 2024, pages 67-84, Miami, Florida, USA. Association for Computational Linguistics
We present a novel approach to classify causal micro-narratives from text. These narratives are sentence-level explanations of the cause(s) and/or effect(s) of a target subject. The approach requires only a subject-specific ontology of causes and eff
Externí odkaz:
http://arxiv.org/abs/2410.05252
The quality of Machine Learning (ML) models strongly depends on the input data, as such generating high-quality features is often required to improve the predictive accuracy. This process is referred to as Feature Engineering (FE). However, since man
Externí odkaz:
http://arxiv.org/abs/2410.02519
Autor:
Choulli, Mourad
We prove a quantitative Borg-Levinson theorem for a large class of unbounded potentials. We give a detailed proof when the dimension of the space is greater than or equal to five. We also indicate the modifications necessary to cover lower dimensions
Externí odkaz:
http://arxiv.org/abs/2410.01346
Autor:
Kim, Dae-Yun, Berrai, Imane, Suraj, T. S., Roussigne, Yves, Yang, Shuhan, Belmeguenai, Mohamed, Hu, Fanrui, Shi, Guoyi, Tan, Hui Ru, Huang, Jifei, Soumyanarayanan, Anjan, Kim, Kyoung-Whan, Cherif, Salim Mourad, Yang, Hyunsoo
Chiral magnets have garnered significant interest due to the emergence of unique phenomena prohibited in inversion-symmetric magnets. While the equilibrium characteristics of chiral magnets have been extensively explored through the Dzyaloshinskii-Mo
Externí odkaz:
http://arxiv.org/abs/2409.04713