Zobrazeno 1 - 10
of 5 772 858
pro vyhledávání: '"Lee, AT"'
The notion of structural heterogeneity is pervasive in real networks, and their community organization is no exception. Still, a vast majority of community detection methods assume neatly hierarchically organized communities of a characteristic scale
Externí odkaz:
http://arxiv.org/abs/2409.18665
Autor:
Jang, Oh-Tae, Song, Hae-Kang, Kim, Min-Jun, Lee, Kyung-Hwan, Lee, Geon, Kim, Sung-Ho, Kim, Kyung-Tae
Recently, computer-aided design models and electromagnetic simulations have been used to augment synthetic aperture radar (SAR) data for deep learning. However, an automatic target recognition (ATR) model struggles with domain shift when using synthe
Externí odkaz:
http://arxiv.org/abs/2409.16845
Autor:
Zhou, Yihao, Huang, Zixun, Lee, Timothy Tin-Yan, Wu, Chonglin, Lai, Kelly Ka-Lee, Yang, De, Hung, Alec Lik-hang, Cheng, Jack Chun-Yiu, Lam, Tsz-Ping, Zheng, Yong-ping
Ultrasound curve angle (UCA) measurement provides a radiation-free and reliable evaluation for scoliosis based on ultrasound imaging. However, degraded image quality, especially in difficult-to-image patients, can prevent clinical experts from making
Externí odkaz:
http://arxiv.org/abs/2409.16661
Autor:
Yim, Soorin, Jeong, Dae-Woong, Ko, Sung Moon, Lee, Sumin, Kim, Hyunseung, Lee, Chanhui, Han, Sehui
Training deep learning models on limited data while maintaining generalization is one of the fundamental challenges in molecular property prediction. One effective solution is transferring knowledge extracted from abundant datasets to those with scar
Externí odkaz:
http://arxiv.org/abs/2409.16645
Autor:
Park, Eunyoung, Jung, Chulho, Hwang, Junha, Shin, Jaeyong, Lee, Sung Yun, Lee, Heemin, Heo, Seung Phil, Nam, Daewoong, Kim, Sangsoo, Kim, Min Seok, Kim, Kyung Sook, Eom, In Tae, Noh, Do Young, Song, Changyong
Photoinduced ultrafast phenomena in materials exhibiting nonequilibrium behavior can lead to the emergence of exotic phases beyond the limits of thermodynamics, presenting opportunities for femtosecond photoexcitation. Despite extensive research, the
Externí odkaz:
http://arxiv.org/abs/2409.15877
Autor:
Lee, D. H., Cho, J. Y., Ha, C., Jeon, E. J., Kim, H. J., Kim, J., Kim, K. W., Kim, S. H., Kim, S. K., Kim, W. K., Kim, Y. D., Ko, Y. J., Lee, H., Lee, H. S., Lee, I. S., Lee, J., Lee, S. H., Lee, S. M., Maruyama, R. H., Park, J. C., Park, K. S., Park, K., Park, S. D., Seo, K. M., Son, M. K., Yu, G. H.
An upgrade of the COSINE-100 experiment, COSINE-100U, has been prepared for installation at Yemilab, a new underground laboratory in Korea, following 6.4 years of operation at the Yangyang Underground Laboratory. The COSINE-100 experiment aimed to in
Externí odkaz:
http://arxiv.org/abs/2409.15748
When developing Computer Aided Detection (CAD) systems for Digital Breast Tomosynthesis (DBT), the complexity arising from the volumetric nature of the modality poses significant technical challenges for obtaining large-scale accurate annotations. Wi
Externí odkaz:
http://arxiv.org/abs/2409.16581
Accurately detecting objects at long distances remains a critical challenge in 3D object detection when relying solely on LiDAR sensors due to the inherent limitations of data sparsity. To address this issue, we propose the LiDAR-Camera Augmentation
Externí odkaz:
http://arxiv.org/abs/2409.14985
The use of pre-trained language models fine-tuned to address specific downstream tasks is a common approach in natural language processing (NLP). However, acquiring domain-specific knowledge via fine-tuning is challenging. Traditional methods involve
Externí odkaz:
http://arxiv.org/abs/2409.14904
Autor:
Lee, Munkyu, Seong, Sihoon, Kang, Minki, Lee, Jihyuk, Na, Gap-Joo, Chun, In-Geol, Nikolopoulos, Dimitrios, Hong, Cheol-Ho
In cloud environments, GPU-based deep neural network (DNN) inference servers are required to meet the Service Level Objective (SLO) latency for each workload under a specified request rate, while also minimizing GPU resource consumption. However, pre
Externí odkaz:
http://arxiv.org/abs/2409.14447