Zobrazeno 1 - 10
of 21 453
pro vyhledávání: '"Qian, LI A."'
Autor:
Wu, Dayong, Li, Jiaqi, Wang, Baoxin, Zhao, Honghong, Xue, Siyuan, Yang, Yanjie, Chang, Zhijun, Zhang, Rui, Qian, Li, Wang, Bo, Wang, Shijin, Zhang, Zhixiong, Hu, Guoping
Large language models (LLMs) have shown remarkable achievements across various language tasks.To enhance the performance of LLMs in scientific literature services, we developed the scientific literature LLM (SciLit-LLM) through pre-training and super
Externí odkaz:
http://arxiv.org/abs/2408.06574
A Sagnac loop structure can help overcome the major difficulty in the practical implementation of a twin field quantum key distribution (TFQKD) network, namely, the need to stabilize the phase of a quantum state over many kilometers of fiber. Unfortu
Externí odkaz:
http://arxiv.org/abs/2407.08009
Quantum key distribution (QKD) can transmit secret keys with, in principle, information-theoretic security. However, bandwidth limitations in practical equipment threaten the security of high-speed (GHz) QKD systems. We propose and characterize a new
Externí odkaz:
http://arxiv.org/abs/2404.14216
We propose a support vector machine (SVM) based approach for generating an entanglement witness that requires exponentially less training data than previously proposed methods. SVMs generate hyperplanes represented by a weighted sum of expectation va
Externí odkaz:
http://arxiv.org/abs/2311.18162
Quantum information is often carried in the frequency and polarization degrees of freedom (DoFs) in single photons and entangled photons. We demonstrate a new approach to couple and decouple the frequency and polarization DoFs of broadband biphotons.
Externí odkaz:
http://arxiv.org/abs/2311.14173
Autor:
Qian, Li Ping, Zhang, Yi, Lyu, Sikai, Zhu, Huijie, Wu, Yuan, Shen, Xuemin Sherman, Yang, Xiaoniu
With the rapid development of Artificial Intelligent Internet of Things (AIoT), the image data from AIoT devices has been witnessing the explosive increasing. In this paper, a novel deep image semantic communication model is proposed for the efficien
Externí odkaz:
http://arxiv.org/abs/2311.02926
Autor:
Dan Zeng, Jiayan Zhang, Zuhua Song, Qian Li, Dan Zhang, Xiaojiao Li, Youjia Wen, Xiaofang Ren, Xinwei Wang, Xiaodi Zhang, Zhuoyue Tang
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objective To develop and validate a model integrating dual-layer detector spectral computed tomography (DLCT) three-dimensional (3D) volume of interest (VOI)-based quantitative parameters and clinical features for predicting Ki-67 proliferat
Externí odkaz:
https://doaj.org/article/4f22c4c0f81f48e38096bd4b61fbfdc5
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract All organisms depend on food digestion for survival, yet the brain-gut signaling mechanisms that regulate this process are not fully understood. Here, using an established C. elegans digestion model, we uncover a pathway in which neuronal RO
Externí odkaz:
https://doaj.org/article/af6169d2b1734162b52ace9a4d57c3f4
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 16, Pp 3574-3581 (2024)
Abstract State of charge (SOC) and state of health (SOH) constitute pivotal factors in the efficient and secure management of lithium‐ion batteries, particularly within the context of electric vehicles. A highly‐robust co‐estimation method is p
Externí odkaz:
https://doaj.org/article/794ad8e059b14f29be161d59698efc2b
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 16, Pp 3582-3592 (2024)
Abstract The assessment of State of Health (SOH) plays a decisive role in diagnosing the health condition of Lithium‐Ion Batteries (LIBs). However, SOH estimation, particularly for individual battery cells, remains underexplored, especially under w
Externí odkaz:
https://doaj.org/article/f25f43b232c04f9291d9e66773e68b30