Zobrazeno 1 - 10
of 746
pro vyhledávání: '"Li Zhengyu"'
Publikováno v:
Translational Neuroscience, Vol 15, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/652e6c72ddec4affada2fc43c8bf7706
AI-generated text detection plays an increasingly important role in various fields. In this study, we developed an efficient AI-generated text detection model based on the BERT algorithm, which provides new ideas and methods for solving related probl
Externí odkaz:
http://arxiv.org/abs/2405.16422
Publikováno v:
Jisuanji kexue yu tansuo, Vol 14, Iss 8, Pp 1307-1314 (2020)
Skyline discovery from a hidden Web database can enable a wide variety of innovative applications in Web information integration area. Although there are many limitations such as the finite number of Web accesses one can issue through per-IP-address,
Externí odkaz:
https://doaj.org/article/e54ba787f7dd4f928db1039daae73ee8
Publikováno v:
Translational Neuroscience, Vol 11, Iss 1, Pp 161-172 (2020)
Amyloid-beta (Aβ) plaque deposits and neurofibrillary tangles containing tau proteins are the key pathognomonic manifestations of Alzheimer’s disease (AD). Lack of holistic drugs for AD has reinvigorated enthusiasm in the natural product-based the
Externí odkaz:
https://doaj.org/article/f919786a10274dd7b1558c9dc72370f5
This paper introduces AlphaMapleSAT, a novel Monte Carlo Tree Search (MCTS) based Cube-and-Conquer (CnC) SAT solving method aimed at efficiently solving challenging combinatorial problems. Despite the tremendous success of CnC solvers in solving a va
Externí odkaz:
http://arxiv.org/abs/2401.13770
Autor:
Liu, Sheng, Fan, Lu, Li, Zhengyu, Zhou, Qiang, Li, Yunbo, Wang, Dong, Zhang, Dechao, Zhang, Yichen, Li, Han
Research on optimal eavesdropping models under practical conditions will help to evaluate realistic risk when employing quantum key distribution (QKD) system for secure information transmission. Intuitively, fiber loss will lead to the optical energy
Externí odkaz:
http://arxiv.org/abs/2312.16206
Autor:
Meng, Fanyu, Fu, Yang, Pan, Senyang, Tian, Shangjie, Yan, Shaohua, Li, Zhengyu, Wang, Shouguo, Zhang, Jinglei, Lei, Hechang
Transition metal disulfides 4$H_{b}$-Ta(S, Se)$_{2}$ with natural heterostructure of 1${T}$- and 1${H}$-Ta(S, Se)$_{2}$ layers have became the focus of correlated materials their unique combinations of Mott physics and possible topological supercondu
Externí odkaz:
http://arxiv.org/abs/2312.03448
Publikováno v:
Appl. Phys. Rev. 11, 011318 (2024)
Quantum key distribution provides secure keys with information-theoretic security ensured by the principle of quantum mechanics. The continuous-variable version of quantum key distribution using coherent states offers the advantages of its compatibil
Externí odkaz:
http://arxiv.org/abs/2310.04831
Autor:
Zhao, Siwen, Huang, Jinqiang, Crépel, Valentin, Wu, Xingguang, Zhang, Tongyao, Wang, Hanwen, Han, Xiangyan, Li, Zhengyu, Xi, Chuanying, Pan, Senyang, Wang, Zhaosheng, Watanabe, Kenji, Taniguchi, Takashi, Sacépé, Benjamin, Zhang, Jing, Wang, Ning, Lu, Jianming, Regnault, Nicolas, Han, Zheng Vitto
Semiconducting transition-metal dichalcogenides (TMDs) exhibit high mobility, strong spin-orbit coupling, and large effective masses, which simultaneously leads to a rich wealth of Landau quantizations and inherently strong electronic interactions. H
Externí odkaz:
http://arxiv.org/abs/2308.02821
AI-driven drug design relies significantly on predicting molecular properties, which is a complex task. In current approaches, the most commonly used feature representations for training deep neural network models are based on SMILES and molecular gr
Externí odkaz:
http://arxiv.org/abs/2307.13275