Zobrazeno 1 - 10
of 1 581
pro vyhledávání: '"LIU Ziyi"'
Publikováno v:
电力工程技术, Vol 43, Iss 3, Pp 172-182 (2024)
In order to effectively improve the economy and feasibility of wind power grid access, an optimal configuration scheme of electric-thermal hybrid energy storage considering the probability of typical scenarios of wind power is proposed. Firstly, usin
Externí odkaz:
https://doaj.org/article/90a60710e47a4b449ef908ac0bb0f738
Publikováno v:
Zhejiang dianli, Vol 43, Iss 2, Pp 49-57 (2024)
With the accelerated advancement of the construction of new-type power systems and the increasing intensity of grid investment， power grid enterprises have to explore more rational and efficient investment strategies to achieve optimal comprehensiv
Externí odkaz:
https://doaj.org/article/8943524751ef44429677d56e40c801f7
Multimodal large language models (MLLMs) are increasingly being applied in the medical field, particularly in medical imaging. However, developing MLLMs for ECG signals, which are crucial in clinical settings, has been a significant challenge beyond
Externí odkaz:
http://arxiv.org/abs/2411.14795
Autor:
Ding, Zhengyao, Hu, Yujian, Xu, Youyao, Zhao, Chengchen, Li, Ziyu, Mao, Yiheng, Li, Haitao, Li, Qian, Wang, Jing, Chen, Yue, Chen, Mengjia, Wang, Longbo, Chu, Xuesen, Pan, Weichao, Liu, Ziyi, Wu, Fei, Zhang, Hongkun, Chen, Ting, Huang, Zhengxing
Cardiovascular diseases (CVDs) present significant challenges for early and accurate diagnosis. While cardiac magnetic resonance imaging (CMR) is the gold standard for assessing cardiac function and diagnosing CVDs, its high cost and technical comple
Externí odkaz:
http://arxiv.org/abs/2411.13602
While interpretability research has shed light on some internal algorithms utilized by transformer-based LLMs, reasoning in natural language, with its deep contextuality and ambiguity, defies easy categorization. As a result, formulating clear and mo
Externí odkaz:
http://arxiv.org/abs/2410.21353
Historical maps provide valuable information and knowledge about the past. However, as they often feature non-standard projections, hand-drawn styles, and artistic elements, it is challenging for non-experts to identify and interpret them. While exis
Externí odkaz:
http://arxiv.org/abs/2410.15780
We study the fundamental problem of sequential probability assignment, also known as online learning with logarithmic loss, with respect to an arbitrary, possibly nonparametric hypothesis class. Our goal is to obtain a complexity measure for the hypo
Externí odkaz:
http://arxiv.org/abs/2410.03849
Publikováno v:
Open Geosciences, Vol 13, Iss 1, Pp 606-625 (2021)
The northern Guizhou area, located near the southwestern margin of the Yangtze Block, is a promising area for shale gas exploration and development. The Lower Silurian Shiniulan Formation as a new discovery stratum of natural gas marks an exciting br
Externí odkaz:
https://doaj.org/article/f81af60a04214d5680c66d6f41754289
With the development of artificial intelligence, neural networks play a key role in network intrusion detection systems (NIDS). Despite the tremendous advantages, neural networks are susceptible to adversarial attacks. To improve the reliability of N
Externí odkaz:
http://arxiv.org/abs/2409.12472
Autor:
Ma, Dizhi, Hu, Xiyun, Shi, Jingyu, Patel, Mayank, Jain, Rahul, Liu, Ziyi, Zhu, Zhengzhe, Ramani, Karthik
Publikováno v:
UIST '2024: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology
Table tennis stroke training is a critical aspect of player development. We designed a new augmented reality (AR) system, avaTTAR, for table tennis stroke training. The system provides both "on-body" (first-person view) and "detached" (third-person v
Externí odkaz:
http://arxiv.org/abs/2407.15373