Zobrazeno 1 - 10
of 12 336
pro vyhledávání: '"Masoudi, A."'
Autor:
Masoudi, Mohammad Hossein, Naji, Ali
We employ deep reinforcement learning methods to investigate shortest-time navigation strategies for smart active Brownian particles (agents) that self-propel through a rotating, localized potential barrier in an otherwise static and viscous fluid ba
Externí odkaz:
http://arxiv.org/abs/2411.05587
Autor:
Khoshtab, Paria, Namazifard, Danial, Masoudi, Mostafa, Akhgary, Ali, Sani, Samin Mahdizadeh, Yaghoobzadeh, Yadollah
This study addresses the gap in the literature concerning the comparative performance of LLMs in interpreting different types of figurative language across multiple languages. By evaluating LLMs using two multilingual datasets on simile and idiom int
Externí odkaz:
http://arxiv.org/abs/2410.16461
The rapid evolution of cloud-native applications, characterized by dynamic, interconnected services, presents significant challenges for maintaining trustworthy and auditable systems, especially in sensitive contexts, such as finance or healthcare. T
Externí odkaz:
http://arxiv.org/abs/2410.13477
Autor:
Dąbrowski, Karol M., Nooraiepour, Mohammad, Masoudi, Mohammad, Zając, Michał, Kuczyński, Szymon, Smulski, Rafał, Barbacki, Jan, Hellevang, Helge, Nagy, Stanisław
Salt precipitation triggered by the evaporation of formation brine into injected supercritical CO2 can cause injectivity and containment issues in near-wellbore regions. Predicting the distribution of precipitated salts and their impact on near-wellb
Externí odkaz:
http://arxiv.org/abs/2410.04910
Telecom networks are becoming increasingly complex, with diversified deployment scenarios, multi-standards, and multi-vendor support. The intricate nature of the telecom network ecosystem presents challenges to effectively manage, operate, and optimi
Externí odkaz:
http://arxiv.org/abs/2408.03964
The standard randomized benchmarking protocol requires access to often complex operations that are not always directly accessible. Compiler optimization does not always ensure equal sequence length of the directly accessible universal gates for each
Externí odkaz:
http://arxiv.org/abs/2405.05215
Autor:
Abaskohi, Amirhossein, Baruni, Sara, Masoudi, Mostafa, Abbasi, Nesa, Babalou, Mohammad Hadi, Edalat, Ali, Kamahi, Sepehr, Sani, Samin Mahdizadeh, Naghavian, Nikoo, Namazifard, Danial, Sadeghi, Pouya, Yaghoobzadeh, Yadollah
This paper explores the efficacy of large language models (LLMs) for Persian. While ChatGPT and consequent LLMs have shown remarkable performance in English, their efficiency for more low-resource languages remains an open question. We present the fi
Externí odkaz:
http://arxiv.org/abs/2404.02403
Subsurface fluid flow and solute transport are pivotal in addressing pressing energy, environmental, and societal challenges, such as geological CO2 storage. Basaltic rocks have gained prominence as suitable geological substrates for injecting substa
Externí odkaz:
http://arxiv.org/abs/2403.12724
Autor:
Nooraiepour, Mohammad, Polanski, Krzysztof, Masoudi, Mohammad, Kuczynski, Szymon, Derluyn, Hannelore, Nogueira, Liebert Parreiras, Bohloli, Bahman, Nagy, Stanislaw, Hellevang, Helge
Publikováno v:
Rock Mechanics and Rock Engineering, 2024
Predictive modeling of CO2 storage sites requires a detailed understanding of physico-chemical processes and potential challenges for scale-up. Dramatic injectivity decline may occur due to salt precipitation pore clogging in high-salinity reservoirs
Externí odkaz:
http://arxiv.org/abs/2401.14852
Energy harvesting can enable a reconfigurable intelligent surface (RIS) to self-sustain its operations without relying on external power sources. In this paper, we consider the problem of energy harvesting for RISs in the absence of coordination with
Externí odkaz:
http://arxiv.org/abs/2311.03143