理学 >>> 数学 >>> 数理逻辑与数学基础 数论 代数学 代数几何学 几何学 拓扑学 数学分析 非标准分析 函数论 常微分方程 偏微分方程 动力系统 积分方程 泛函分析 计算数学 概率论 数理统计学 应用统计数学 运筹学 组合数学 离散数学 模糊数学 应用数学 数学其他学科
搜索结果: 1-15 共查到数学 Network相关记录68条 . 查询时间(0.156 秒)
The talk proposes a deep learning method specifically dealing with the forward and inverse problem of variable coefficient partial differential equations-Variable Coefficient Physics-Informed Neural N...
In this talk, we discuss a unifying deep unfolding multi-sampling-ratio interpretable CS-MRI framework. The combined approach offers more generalizability than the existing deep-learning-based CS-MRI ...
We investigate informal risk sharing using a dynamic network game model. In each round, a randomly selected agent experiences a negative shock, and the agent's friends decide whether to provide assist...
The pathogenesis of breast cancer is not the same in all countries and regions; therefore, some existing breast cancer risk assessment models are not well adapted to all countries and regions, includi...
Community structure division is a crucial problem in the field of network data analysis. Algorithms based on Markov chains are easy to use and provide promising solutions for community detection. In a...
近日,对地观测领域国际重要期刊《Journal of Selected Topics in Applied Earth Observations and Remote Sensing》刊发了中国地质大学计算机学院遥感智能解译团队的研究成果——“Channel-Attention-Based DenseNet Network for Remote Sensing Image Scene Classi...
2020年4月,多媒体领域顶级期刊《IEEE Transactions on Multimedia》刊发了中国地质大学计算机学院唐厂副教授与国防科技大学、京东AI研究院以及阿里巴巴达摩院合作完成的研究成果——BR2Net: Defocus Blur Detection via a Bi-directional Channel Attention Residual Refining Network ...
The paper presents a novel hydraulic fracturing model for the characterization and simulation of the complex fracture network in shale gas reservoirs. We go beyond the existing method that uses planar...
Given a target variable and observational data, we propose a sequential learning approach for discovering direct cause and effect variables of the target under the causal network frame-work. In the ap...
We consider communication over a noisy network under randomized linear network coding. Possible error mechanism include node- or link- failures, Byzantine behavior of nodes, or an over-estimate of the...
广东外语外贸大学运筹学英文课件第八章 Network Models。
The inclusion-exclusion formula (IEF) is a fundamental tool for evaluating network reliability with known minimal paths or minimal cuts. However, the formula contains many pairs of terms which cancel....
Abstract: The rigorous linking of exact stochastic models to mean-field approximations is studied. Starting from the differential equation point of view the stochastic model is identified by its Kolmo...
Abstract: We propose a class of random scale-free spatial networks with nested community structures and analyze Reed-Frost epidemics with community related independent transmissions. We show that the ...
Synchrony is one of the most common dynamical states emerging on networks. The speed of convergence towards synchrony provides a fundamental collective time scale for synchronizing systems. Here we st...

中国研究生教育排行榜-

正在加载...

中国学术期刊排行榜-

正在加载...

世界大学科研机构排行榜-

正在加载...

中国大学排行榜-

正在加载...

人 物-

正在加载...

课 件-

正在加载...

视听资料-

正在加载...

研招资料 -

正在加载...

知识要闻-

正在加载...

国际动态-

正在加载...

会议中心-

正在加载...

学术指南-

正在加载...

学术站点-

正在加载...