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TEMPORAL: 作品数：837被引量：1599H指数：14; 导出分析报告; 相关领域：天文地球更多>>; 相关作者：吴绍洪戴尔阜陈乃宏任家东徐颂军更多>>; 相关机构：首都医科大学中国科学院燕山大学华南师范大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>

Deep learning systems for forecasting the prices of crude oil and precious metals: 《Financial Innovation》2024年第1期781-820,共40页Parisa Foroutan Salim Lahmiri; Commodity markets,such as crude oil and precious metals,play a strategic role in the economic development of nations,with crude oil prices influencing geopolitical relations and the global economy.Moreover,gold and si...; 关键词：Crude oil forecasting Precious metal forecasting Deep learning Temporal convolutional networks Time2Vector LightGBM

Modelling infrastructure interdependencies and cascading effects using temporal networks: 《Resilient Cities and Structures》2024年第3期28-42,共15页Gian Paolo Cimellaro Alessandro Cardoni Andrei Reinhorn; the European Research Council under the Grant agreement no.ERC_IDEAL RESCUE_637842 of the project IDEAL RESCUE_Integrated Design and Control of Sustainable Communities during Emergencies.; Lifelines are critical infrastructure systems characterized by a high level of interdependency that can lead to cascading failures after any disaster.Many approaches can be used to analyze infrastructural interdepende...; 关键词：Interdependent infrastructure Nuclear power plant Cascading effects Temporal networks Input-output methods

A Spatio-Temporal Heterogeneity Data Accuracy Detection Method Fused by GCN and TCN: 《Computer Systems Science & Engineering》2023年第11期2563-2582,共20页Tao Liu Kejia Zhang Jingsong Yin Yan Zhang Zihao Mu Chunsheng Li Yanan Hu; supported by the National Natural Science Foundation of China under Grants 42172161;by the Heilongjiang Provincial Natural Science Foundation of China under Grant LH2020F003;by the Heilongjiang Provincial Department of Education Project of China under Grants UNPYSCT-2020144;by the Innovation Guidance Fund of Heilongjiang Province of China under Grants 15071202202;by the Science and Technology Bureau Project of Qinhuangdao Province of China under Grants 202101A226.; Spatio-temporal heterogeneous data is the database for decisionmaking in many fields,and checking its accuracy can provide data support for making decisions.Due to the randomness,complexity,global and local correlatio...; 关键词：Spatiotemporal heterogeneity data data accuracy complex topology structure graph convolutional networks temporal convolutional networks

Temporal Convolutional Network for Speech Bandwidth Extension: 《China Communications》2023年第11期142-150,共9页Chundong Xu Cheng Zhu Xianpeng Ling Dongwen Ying; In the field of speech bandwidth exten-sion,it is difficult to achieve high speech quality based on the shallow statistical model method.Although the application of deep learning has greatly improved the extended spee...; 关键词：speech bandwidth extension temporal convolutional networks time-frequency loss

Discovering Association Rules with Graph Patterns in Temporal Networks被引量：1: 《Tsinghua Science and Technology》2023年第2期344-359,共16页Chu Huang Qianzhen Zhang Deke Guo Xiang Zhao Xi Wang; This work was partially supported by the National Key Research and Development Program(No.2018YFB1800203);National Natural Science Foundation of China(No.U19B2024);Postgraduate Scientific Research Innovation Project of Hunan Province(No.CX20210038).; Discovering regularities between entities in temporal graphs is vital for many real-world applications(e.g.,social recommendation,emergency event detection,and cyberattack event detection).This paper proposes temporal...; 关键词：temporal networks graph association rule subgraph pattern matching graph mining big graphs

Blood Glucose Prediction Model Based on Prophet and Temporal Convolutional Networks: 《Journal of Beijing Institute of Technology》2022年第4期413-421,共9页Rong Xiao Jing Chen Lei Wang Wei Liu; Diabetes,as a chronic disease,is caused by the increase of blood glucose concentration due to pancreatic insulin production failure or insulin resistance in the body.Predicting the change trend of blood glucose level ...; 关键词：blood glucose temporal convolutional networks(TCN) seasonal decomposition

THS-GWNN:a deep learning framework for temporal network link prediction: 《Frontiers of Computer Science》2022年第2期174-176,共3页Xian MO Jun PANG Zhiming LIU; This work has been supported by Chongqing Graduate Student Research and Innovation Project(CYB19096);the China Scholarship Council(202006990041);the Fundamental Research Funds for the Central Universities(XDJK2020D021);the Capacity Development Grant of Southwest University(SWU116007);the National Natural Science Foundation of China(Grant Nos.61672435,61732019,61811530327)。; 1 Introduction and main contributions Link prediction for temporal networks aims to evaluate the likelihood of the future linkage among nodes,which has significant applications in social networks,biological networks a...; 关键词：NETWORK PREDICTION NETWORKS

A Spatial-Temporal Network Perspective for the Propagation Dynamics of Air Traffic Delays被引量：14: 《Engineering》2021年第4期452-464,共13页Qing Cai Sameer Alam Vu N.Duong; This work was supported by SUG Research Grant M4082126.050 by the School of Mechanical and Aerospace Engineering(MAE),Nanyang Technological University(NTU),Singapore;NTU-CAAS Research Grant M4062429.052 by the ATM Research Institute,School of MAE,NTU,Singapore.; Intractable delays occur in air traffic due to the imbalance between ever-increasing air traffic demand and limited airspace capacity.As air traffic is associated with complex air transport systems,delays can be magni...; 关键词：Air traffic Transport systems Delay propagation dynamics Spatial–temporal networks

Self-attention transfer networks for speech emotion recognition被引量：4: 《Virtual Reality & Intelligent Hardware》2021年第1期43-54,共12页Ziping ZHAO Keru Wang Zhongtian BAO Zixing ZHANG Nicholas CUMMINS Shihuang SUN Haishuai WANG Jianhua TAO Björn WSCHULLER; the National Natural Science Foundation of China(62071330);the National Science Fund for Distinguished Young Scholars(61425017);the Key Program of the National Natural Science Foundation(61831022);the Key Program of the Natural Science Foundation of Tianjin(18JCZDJC36300);the Open Projects Program of the National Laboratory of Pattern Recognition and the Senior Visiting Scholar Program of Tianjin Normal University;the Innovative Medicines Initiative 2 Joint Undertaking(115902),which receives support from the European Union's Horizon 2020 research and innovation program and EFPIA.; Background A crucial element of human-machine interaction,the automatic detection of emotional states from human speech has long been regarded as a challenging task for machine learning models.One vital challenge in s...; 关键词：Speech emotion recognition Attention transfer Self-attention Temporal convolutional neural networks(TCNs)

Shortest path of temporal networks:An information spreading-based approach: 《Chinese Physics B》2020年第12期590-596,共7页Yixin Ma Xiaoyu Xue Meng Cai Wei Wang; Project supported by the National Natural Science Foundation of China(Grant No.61903266);China Postdoctoral Science Foundation(Grant No.2018M631073);China Postdoctoral Science Special Foundation(Grant No.2019T120829);the Fundamental Research Funds for the Central Universities,China;Sichuan Science and Technology Program,China(Grant No.20YYJC4001)。; The shortest path is a widely studied network science problem and has attracted great attention.Nevertheless,it draws little attention in temporal networks,in which temporal edges determine information dissemination.I...; 关键词：temporal network shortest path information spreading

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