Zobrazeno 1 - 10
of 1 159 338
pro vyhledávání: '"Chun An"'
Publikováno v:
Journal of Advanced Transportation, Vol 2024 (2024)
The stable and efficient operation of rail transit networks (RTNs) is critical for the integrated development of metropolitan areas. However, numerous studies have indicated that RTNs are prone to large-scale cascading failures when subjected to dist
Externí odkaz:
https://doaj.org/article/de5c171cdd4f4a609d08b263449920db
Publikováno v:
Case Studies in Thermal Engineering, Vol 52, Iss , Pp 103608- (2023)
For the purpose of researching the rules of combustion heat release, ammonium phosphate dry powder extinguishing agent and water-based fire extinguishing agent were utilized before and after the class A fire common wood stack ignition fuel and class
Externí odkaz:
https://doaj.org/article/e2fa107beb184bc3811999c9c47137f4
Autor:
Hao, Duxing, Chang, Wen-Hao, Chang, Yu-Chen, Liu, Wei-Tung, Ho, Sheng-Zhu, Lu, Chen-Hsuan, Yang, Tilo H., Kawakami, Naoya, Chen, Yi-Chun, Liu, Ming-Hao, Lin, Chun-Liang, Lu, Ting-Hua, Lan, Yann-Wen, Yeh, Nai-Chang
In semiconducting monolayer transition metal dichalcogenides (ML-TMDs), broken inversion symmetry and strong spin-orbit coupling result in spin-valley lock-in effects so that the valley degeneracy may be lifted by external magnetic fields, potentiall
Externí odkaz:
http://arxiv.org/abs/2410.20702
Sparse Mixture-of-Experts (SMoE) models represent a significant breakthrough in large language model development. These models enable performance improvements without a proportional increase in inference costs. By selectively activating a small set o
Externí odkaz:
http://arxiv.org/abs/2410.08589
Learning from observation (LfO) aims to imitate experts by learning from state-only demonstrations without requiring action labels. Existing adversarial imitation learning approaches learn a generator agent policy to produce state transitions that ar
Externí odkaz:
http://arxiv.org/abs/2410.05429
Autor:
Liu, Ting-Ru, Yang, Hsuan-Kung, Liu, Jou-Min, Huang, Chun-Wei, Chiang, Tsung-Chih, Kong, Quan, Kobori, Norimasa, Lee, Chun-Yi
Scene coordinate regression (SCR) methods have emerged as a promising area of research due to their potential for accurate visual localization. However, many existing SCR approaches train on samples from all image regions, including dynamic objects a
Externí odkaz:
http://arxiv.org/abs/2409.04178
Publikováno v:
The Astrophysical Journal, 2024
Propagation of interplanetary (IP) shocks, particularly those driven by coronal mass ejections (CMEs), is still an outstanding question in heliophysics and space weather forecasting. Here we address effects of the ambient solar wind on the propagatio
Externí odkaz:
http://arxiv.org/abs/2411.00747
Autor:
Lin, Ying-Chun, Neville, Jennifer, Becker, Cassiano, Metha, Purvanshi, Asghar, Nabiha, Agarwal, Vipul
Understanding node representations in graph-based models is crucial for uncovering biases ,diagnosing errors, and building trust in model decisions. However, previous work on explainable AI for node representations has primarily emphasized explanatio
Externí odkaz:
http://arxiv.org/abs/2411.00653
Autor:
Kim, Beomyoung, Shin, Chanyong, Jeong, Joonhyun, Jung, Hyungsik, Lee, Se-Yun, Chun, Sewhan, Hwang, Dong-Hyun, Yu, Joonsang
The recent segmentation foundation model, Segment Anything Model (SAM), exhibits strong zero-shot segmentation capabilities, but it falls short in generating fine-grained precise masks. To address this limitation, we propose a novel zero-shot image m
Externí odkaz:
http://arxiv.org/abs/2411.00626
Autor:
Zhao, Luyang, Jiang, Yitao, She, Chun-Yi, Jeong, Mingi, Dong, Haibo, Li, Alberto Quattrini, Chen, Muhao, Balkcom, Devin
This paper presents the first steps toward a soft dolphin robot using a bio-inspired approach to mimic dolphin flexibility. The current dolphin robot uses a minimalist approach, with only two actuated cable-driven degrees of freedom actuated by a pai
Externí odkaz:
http://arxiv.org/abs/2411.00347