From the 1 of 2.4k papers with an AI index.
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- Institute of Modern PhysicsCN402 papers
- University of Science and Technology of ChinaCN381 papers
- Peking UniversityCN358 papers
- Tsinghua UniversityCN322 papers
- Zhejiang UniversityCN301 papers
- State Key Laboratory of Surface Physics300 papers
- Beihang UniversityCN298 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT285 papers
- University of Chinese Academy of SciencesCN282 papers
- Carnegie Mellon UniversityUS262 papers
- Università degli Studi del Piemonte Orientale “Amedeo Avogadro”IT256 papers
- University of PerugiaIT240 papers
227 papers · 1 filter
Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey
Shuyan Hu, Xiaojing Chen, Wei Ni +2
The advancements in smart power grid and the advocation of ``green communications'' have inspired the wireless communication networks to harness energy from ambient environments an…
Measurements of the Branching Fractions , and
Belle Collaboration, Y. Li, Y. B. Li +173
Using the data sample of 711 fb of on-resonance data taken by the Belle detector at the KEKB asymmetric-energy electron-positron collider, we present the first measu…
Gradient estimate and Liouville theorems for p-harmonic maps
Yuxin Dong, Hezi Lin
In this paper, we first obtain an gradient estimate for -harmonic maps, by assuming the target manifold supporting a certain function, whose gradient and Hessian satisfy s…
Inverse scattering transformation for the Fokas-Lenells equation with nonzero boundary conditions
Yi Zhao, Engui Fan
In this article, we focus on the inverse scattering transformation for the Fokas-Lenells (FL) equation with nonzero boundary conditions via the Riemann-Hilbert (RH) approach. Based…
The Sasa-Satsuma equation with non-vanishing boundary conditions
Lili Wen, Engui Fan
We concentrate on inverse scattering transformation for the Sasa-Satsuma equation with matrix spectral and nonzero boundary condition in this article. To circumvent mul…
Design of High-Frequency Trading Algorithm Based on Machine Learning
Boyue Fang, Yutong Feng
Based on iterative optimization and activation function in deep learning, we proposed a new analytical framework of high-frequency trading information, that reduced structural loss…