Zobrazeno 1 - 10
of 2 770
pro vyhledávání: '"Heydarian A"'
Autor:
Chen, Dong, Hosseini, Arman, Smith, Arik, Xiang, David, Heydarian, Arsalan, Shoghli, Omid, Campbell, Bradford
As micromobility devices such as e-scooters gain global popularity, emergency departments around the world have observed a rising trend in related injuries. However, the majority of current research on e-scooter safety relies heavily on surveys, news
Externí odkaz:
http://arxiv.org/abs/2407.10310
Autor:
Chen, Dong, Hosseini, Arman, Smith, Arik, Nikkhah, Amir Farzin, Heydarian, Arsalan, Shoghli, Omid, Campbell, Bradford
Electric scooters (e-scooters) have rapidly emerged as a popular mode of transportation in urban areas, yet they pose significant safety challenges. In the United States, the rise of e-scooters has been marked by a concerning increase in related inju
Externí odkaz:
http://arxiv.org/abs/2405.03039
Autor:
Yang, Chen, He, Yangfan, Tian, Aaron Xuxiang, Chen, Dong, Wang, Jianhui, Shi, Tianyu, Heydarian, Arsalan
In this paper, we introduce a novel approach for autonomous driving trajectory generation by harnessing the complementary strengths of diffusion probabilistic models (a.k.a., diffusion models) and transformers. Our proposed framework, termed the "Wor
Externí odkaz:
http://arxiv.org/abs/2404.02082
Autor:
Aghdasian, Amin Jalal, Ardakani, Amirhossein Heydarian, Aqabakee, Kianoush, Abdollahi, Farzaneh
This paper proposes a novel approach by integrating sensor fusion with deep reinforcement learning, specifically the Soft Actor-Critic (SAC) algorithm, to develop an optimal control policy for self-driving cars. Our system employs a two-branch fusion
Externí odkaz:
http://arxiv.org/abs/2312.16620
Publikováno v:
BMC Sports Science, Medicine and Rehabilitation, Vol 16, Iss 1, Pp 1-8 (2024)
Abstract Background Fatigue leads to an acute decline in muscle strength, altered patterns of lower extremity muscle activation, changes in hip and knee kinematics. In terms of the effects of fatigue on knee joint kinematics during plyometric trainin
Externí odkaz:
https://doaj.org/article/3cb1c0041d024c6abcec7a7d2bcf4e64
Publikováno v:
IET Smart Grid, Vol 7, Iss 5, Pp 610-627 (2024)
Abstract Electric vehicles (EVs) have significant potential to offer unused capacity in ancillary service markets, providing unique opportunities for market operators to utilise these resources. EVs have a rapid response and high availability, making
Externí odkaz:
https://doaj.org/article/f951be10557b4885bb06be3cb6dbfb7f
Free-form image inpainting is the task of reconstructing parts of an image specified by an arbitrary binary mask. In this task, it is typically desired to generalize model capabilities to unseen mask types, rather than learning certain mask distribut
Externí odkaz:
http://arxiv.org/abs/2311.11469
The National Highway Traffic Safety Administration reported that the number of bicyclist fatalities has increased by more than 35% since 2010. One of the main reasons associated with cyclists' crashes is the adverse effect of high cognitive load due
Externí odkaz:
http://arxiv.org/abs/2307.07623
Human Activity Recognition (HAR) has become a spotlight in recent scientific research because of its applications in various domains such as healthcare, athletic competitions, smart cities, and smart home. While researchers focus on the methodology o
Externí odkaz:
http://arxiv.org/abs/2305.10222
Publikováno v:
In 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE) (pp. 225-230). IEEE
Lip-reading has made impressive progress in recent years, driven by advances in deep learning. Nonetheless, the prerequisite such advances is a suitable dataset. This paper provides a new in-the-wild dataset for Persian word-level lipreading containi
Externí odkaz:
http://arxiv.org/abs/2304.04068