搜索结果: 1-15 共查到“数学 network”相关记录68条 . 查询时间(0.125 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:VC-PINN: variable coefficient physics-informed neural network for forward and inverse problems of PDEs with variable coefficient
VC-PINN 变系数 偏微分方程 正逆问题 变系数物理 知情神经网络
2023/11/13
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Optimization-inspired deep unfolding correction-distillation network for CS-MRI reconstruction
优化启发 CS-MRI 重建深度展开 校正-蒸馏网络
2023/4/27
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Who Shares Risk with Whom?A Dynamic Network Game Analysis
分担风险 动态网络 博弈分析
2023/4/18
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:A Social-Network-Inspired Breast Cancer Risk Assessment Model
社交网络启发 乳腺癌 风险评估 模型
2023/5/5
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Evolutionary Markov Dynamics for Network Community Detection
网络社区检测 进化 马尔可夫 动力学
2023/5/10
中国地质大学科学技术发展院童伟(硕士研究生),陈伟涛*,王力哲* 等,计算机学院. Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2020). Channel-Attention-Based DenseNet Network for Remote Sensing Image Scene Classification
智能;获取;遥感敏感特征;遥感;场景分类;关键技术;瓶颈
2021/10/15
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...
中国地质大学科学技术发展院唐厂 等,计算机学院. IEEE Transactions on Multimedia (2020), BR2Net: Defocus Blur Detection via a Bi-directional Channel Attention Residual Refining Network
双向;特征;通道;加权;残差;修正;神经网络;图像模糊
2021/10/15
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 ...
Performance-based fractal fracture model for complex fracture network simulation
Fractal geometry Fractal fracture model Complex fracture network characterization Contributing reservoir volume Refracturing
2018/4/2
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...
Refining network reconstruction based on functional reliability
Directed acyclic graph Discover causes and effects Sequential structural learning
2016/1/25
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...
Coding for Network Coding
Sparse graph codes probabilistic channel models Shannon channel capacity network coding
2015/8/20
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。
An Inclusion-Exclusion Algorithm for Network Reliability with Minimal Cutsets
Inclusion-Exclusion Formula Network Reliability Minimal Cutset Dynamic Programming
2013/1/30
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....
Differential equation approximations of stochastic network processes: an operator semigroup approach
dynamic network birth-and-death process one-parameter operator semigroup
2011/9/6
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...
SIR epidemics on a scale-free spatial nested modular network with a non-trivial threshold
Epidemics SIR Reed-Frost percolation long-range directed scale-free modular nested communities hierarchical
2011/8/30
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...