Zobrazeno 1 - 10
of 1 029
pro vyhledávání: '"Mazari, P."'
Publikováno v:
2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM)
This review paper provides a comprehensive analysis of recent advances in automatic speech recognition (ASR) with bidirectional encoder representations from transformers BERT and connectionist temporal classification (CTC) transformers. The paper fir
Externí odkaz:
http://arxiv.org/abs/2410.09456
Autor:
Mazari-Fouquer, Idriss
The goal of this paper is to review several qualitative properties of well-known eigenvalue problems using a different perspective based on the theory of effective Hamiltonians, working exclusively on the Hopf-Cole transform of the equation. We revis
Externí odkaz:
http://arxiv.org/abs/2409.08740
Autor:
Yagoubi, Mouadh, Danan, David, Leyli-abadi, Milad, Brunet, Jean-Patrick, Mazari, Jocelyn Ahmed, Bonnet, Florent, gmati, maroua, Farjallah, Asma, Cinnella, Paola, Gallinari, Patrick, Schoenauer, Marc
The integration of machine learning (ML) techniques for addressing intricate physics problems is increasingly recognized as a promising avenue for expediting simulations. However, assessing ML-derived physical models poses a significant challenge for
Externí odkaz:
http://arxiv.org/abs/2407.01641
For an abstract elementary class $\mathbf{K}$ and a cardinal $\lambda \geq LS(\mathbf{K})$, we prove under mild cardinal arithmetic assumptions, categoricity in two succesive cardinals, almost stability for $\lambda^+$-minimal types and continuity of
Externí odkaz:
http://arxiv.org/abs/2406.15263
The goal of this paper is to study a Mean Field Game (MFG) system stemming from the harvesting of resources. Modelling the latter through a reaction-diffusion equation and the harvesters as competing rational agents, we are led to a non-local (in tim
Externí odkaz:
http://arxiv.org/abs/2406.06057
Autor:
Mazari-Armida, Marcos
We study limit models in the abstract elementary class of modules with embeddings as algebraic objects. We characterize parametrized noetherian rings using the degree of injectivity of certain limit models. We show that the number of limit models and
Externí odkaz:
http://arxiv.org/abs/2405.20214
Publikováno v:
2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM)
The rise of new complex attacks scenarios in Internet of things (IoT) environments necessitate more advanced and intelligent cyber defense techniques such as various Intrusion Detection Systems (IDSs) which are responsible for detecting and mitigatin
Externí odkaz:
http://arxiv.org/abs/2405.20038
Protecting Internet of things (IoT) devices against cyber attacks is imperative owing to inherent security vulnerabilities. These vulnerabilities can include a spectrum of sophisticated attacks that pose significant damage to both individuals and org
Externí odkaz:
http://arxiv.org/abs/2405.18624
Autor:
Yagoubi, Mouadh, Leyli-Abadi, Milad, Danan, David, Brunet, Jean-Patrick, Mazari, Jocelyn Ahmed, Bonnet, Florent, Farjallah, Asma, Schoenauer, Marc, Gallinari, Patrick
The use of machine learning (ML) techniques to solve complex physical problems has been considered recently as a promising approach. However, the evaluation of such learned physical models remains an important issue for industrial use. The aim of thi
Externí odkaz:
http://arxiv.org/abs/2403.01623
Given a well-posed linear evolution system settled on a domain $\Omega$ of $\mathbb{R}^d$, an observation subset $\omega\subset\Omega$ and a time horizon $T$, the observability constant is defined as the largest possible nonnegative constant such tha
Externí odkaz:
http://arxiv.org/abs/2402.03980