搜索结果: 1-15 共查到“理学 Network”相关记录349条 . 查询时间(0.221 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
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...
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
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 ...
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
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...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Dynamic Learning and Modelling of Nonlinear Spatio-Temporal Network Data: theory with an application to the EU energy markets
非线性 时空网络数据 动态学习 建模
2023/4/28
Nonlinear modelling of dynamic spatio-temporal network data is often a challenge with various issues, in particular due to irregularly observed locations and location-wide non-stationarity. In this pa...
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
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...
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
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...
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春安等. GPMR国家重点实验室/地学院. Nature Communications(2020). Breaking Earth’s shell into a global plate network
板块构造学；岩石圈；破裂
2021/10/15
2020年7月17日《Nature Communications》刊发了中国地质大学外聘大地构造学科唐春安教授（第一作者）及其国际合作团队的研究新成果——“Breaking Earth’s shell into a global plate network”。该文的合作者为：大连理工大学副教授马天辉、博士研究生王永艺以及东北大学博士研究生陈甜甜、香港大学地质系 Webb 博士和美国汉普顿大学大气与...
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 ...
Seismologists monitor Ridgecrest quake aftershocks using novel fiber optic network（图）
Seismologistsr Ridgecrest quake aftershocks novel fiber optic network
2019/10/22
Seismologists at Caltech are using fiber optic cables to monitor and record aftershocks from the 2019 Ridgecrest earthquake in greater detail than previously possible. Thousands of tiny aftershocks ar...
ASSESSING THE IMPACT OF CANAL NETWORK ON SURFACE WATERLOGGING USING REMOTE SENSING DATASETS IN ROHTAK DISTRICT, HARYANA
Waterlogging Canals Remote Sensing GIS Rohtak
2019/2/27
Remote Sensing is a very reliable and expeditious technique for assessment and mapping of surface waterlogged areas. In this study band ratio based NDWI index (Normalized Difference Water Index) was u...
COMPARATIVE STUDY ON DEEP NEURAL NETWORK MODELS FOR CROP CLASSIFICATION USING TIME SERIES POLSAR AND OPTICAL DATA
Deep neural networks CNNs LSTMs ConvLSTMs Crop classification
2019/2/28
Crop classification is an important task in many crop monitoring applications. Satellite remote sensing has provided easy, reliable, and fast approaches to crop classification task. In this study, a c...
SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES USING VARIATIONAL AUTOENCODER AND CONVOLUTION NEURAL NETWORK
Hyperspectral classification feature extraction spectral channels deep learning
2019/2/28
In this paper, we propose a spectral-spatial feature extraction framework based on deep learning (DL) for hyperspectral image (HSI) classification. In this framework, the variational autoencoder (VAE)...
MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION
Pansharpening PCNN Image Fusion Multispectral Imaging Remote Sensing Segmentation
2018/5/14
The paper proposes a novel pansharpening method based on the pulse-coupled neural network segmentation. In the new method, uniform injection gains of each region are estimated through PCNN segmentatio...
A NOVEL DEEP CONVOLUTIONAL NEURAL NETWORK FOR SPECTRAL–SPATIAL CLASSIFICATION OF HYPERSPECTRAL DATA
Hyperspectral Data Classification Three-dimensional Convolution Deep CNN Feature Extraction
2018/5/14
Spatial and spectral information are obtained simultaneously by hyperspectral remote sensing. Joint extraction of these information of hyperspectral image is one of most import methods for hyperspectr...