Zobrazeno 1 - 10
of 11 547
pro vyhledávání: '"Khorasani, A."'
Interoperability is a significant challenge in blockchain technology, hindering seamless data and service sharing across diverse blockchain networks. This study introduces Automated Gateways as a novel framework leveraging smart contracts to facilita
Externí odkaz:
http://arxiv.org/abs/2407.13001
Autor:
Shi, Zhaoyu, Khorasani, Seyed Morteza Habibi, Shin, Heesoo, Yang, Jiasheng, Lee, Sangseung, Bagheri, Shervin
Efficient tools for predicting the drag of rough walls in turbulent flows would have a tremendous impact. However, methods for drag prediction rely on experiments or numerical simulations which are costly and time-consuming. Data-driven regression me
Externí odkaz:
http://arxiv.org/abs/2405.09256
Autor:
Shin, Heesoo, Khorasani, Seyed Morteza Habibi, Shi, Zhaoyu, Yang, Jiasheng, Lee, Sangseung, Bagheri, Shervin
Understanding the influence of surface roughness on drag forces remains a significant challenge in fluid dynamics. This paper presents a convolutional neural network (CNN) that predicts drag solely by the topography of rough surfaces and is capable o
Externí odkaz:
http://arxiv.org/abs/2405.09071
Policy gradient (PG) is widely used in reinforcement learning due to its scalability and good performance. In recent years, several variance-reduced PG methods have been proposed with a theoretical guarantee of converging to an approximate first-orde
Externí odkaz:
http://arxiv.org/abs/2311.08914
Autor:
Rasul, Kashif, Ashok, Arjun, Williams, Andrew Robert, Ghonia, Hena, Bhagwatkar, Rishika, Khorasani, Arian, Bayazi, Mohammad Javad Darvishi, Adamopoulos, George, Riachi, Roland, Hassen, Nadhir, Biloš, Marin, Garg, Sahil, Schneider, Anderson, Chapados, Nicolas, Drouin, Alexandre, Zantedeschi, Valentina, Nevmyvaka, Yuriy, Rish, Irina
Over the past years, foundation models have caused a paradigm shift in machine learning due to their unprecedented capabilities for zero-shot and few-shot generalization. However, despite the success of foundation models in modalities such as natural
Externí odkaz:
http://arxiv.org/abs/2310.08278
In this study, we investigate the stability of a liquid film that partially wets a corner between a cylinder and a substrate, using a combination of theoretical and numerical approaches. The film stability, which depends on the film size and the wall
Externí odkaz:
http://arxiv.org/abs/2310.05552
Publikováno v:
Eur. Phys. J. Plus 138 (2023) 728
Considering a three-dimensional $C-$metric, we obtain the exact accelerating black holes in the $F(R)$ theory of gravity coupled with and without a matter field. First, we extract uncharged accelerating AdS black hole solutions in $F(R)$ gravity. The
Externí odkaz:
http://arxiv.org/abs/2309.02472
Publikováno v:
Phys. Lett. B 851 (2024) 138585
In this paper, the Nielsen geometric method is used to study the position dependence of the Nielsen complexity for the thermofield double state of a harmonic oscillator. We present the state shift under the influence of an external electric field and
Externí odkaz:
http://arxiv.org/abs/2308.15836
Publikováno v:
Journal of Rehabilitation Sciences and Research, Vol 11, Iss 3, Pp 139-144 (2024)
Background: The research aims to investigate the impact of a single bout of functional fatigue on proprioception, coordination, and variability among lower extremity joints and segments in semi-skilled male cyclists. Cycling is recognized as a sport
Externí odkaz:
https://doaj.org/article/44d48b556724460a9c25fbd4c1a41734
Publikováno v:
MNRAS 522 (2023) 3648-3655
We use parameterized post-Friedmann (PPF) description for dark energy and apply ellipsoidal nested sampling to perform the Bayesian model selection method on different time-dependent dark energy models using a combination of $Planck$ and data based o
Externí odkaz:
http://arxiv.org/abs/2304.10160