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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>>

Citation and bibliographic coupling between authors in the field of social network analysis: 《Journal of Data and Information Science》2024年第4期110-154,共45页Daria Maltseva Vladimir Batagelj; supported in part by the Slovenian Research Agency(VB,research program P1-0294);(VB,research project J5-2557);(VB,research project J5-4596);COST EU(VB,COST action CA21163(HiTEc);is prepared within the framework of the HSE University Basic Research Program.; Purpose:We analyzed the structure of a community of authors working in the field of social network analysis(SNA)based on citation indicators:direct citation and bibliographic coupling metrics.We observed patterns at t...; 关键词：Development of scientific fields Social network analysis Bibliographic network Temporal network CITATION Bibliographic coupling

Local-global dynamic correlations based spatial-temporal convolutional network for traffic flow forecasting: 《High Technology Letters》2024年第4期370-379,共10页ZHANG Hong GONG Lei ZHAO Tianxin ZHANG Xijun WANG Hongyan; Supported by the Key R&D Program of Gansu Province(No.23YFGA0063);the National Natural Science Foundation of China(No.62363022,61663021);the Natural Science Foundation of Gansu Province(No.22JR5RA226,23JRRA886);the Gansu Provincial De-partment of Education:Industrial Support Plan Project(No.2023CYZC-35).; Traffic flow forecasting plays a crucial role and is the key technology to realize dynamic traffic guidance and active traffic control in intelligent traffic systems(ITS).Aiming at the complex local and global spatial...; 关键词：traffic flow forecasting graph convolutional network(GCN) temporal convolu-tional network(TCN) attention mechanism(AM)

Wave runup prediction for a semi-submersible based on temporal convolutional neural network: 《Journal of Ocean Engineering and Science》2024年第6期528-540,共13页Yan Li Tao Peng Longfei Xiao Handi Wei Xu Li; support of the National Natural Science Foundation of China(Grant Nos.52031006,51879158);Shanghai Sailing Program,China(Grant No.20YF1419800).; Nonlinear wave runup could result in serious wave impact on the local structures of offshore platforms in rough seas.The reliable and efficient wave runup prediction is beneficial to provide essential information for ...; 关键词：Wave runup Temporal Convolution Network(TCN) SEMI-SUBMERSIBLE Sensitivity analysis

A Combined Method of Temporal Convolutional Mechanism and Wavelet Decomposition for State Estimation of Photovoltaic Power Plants: 《Computers, Materials & Continua》2024年第11期3063-3077,共15页Shaoxiong Wu Ruoxin Li Xiaofeng Tao Hailong Wu Ping Miao Yang Lu Yanyan Lu Qi Liu Li Pan; funded by NARI Group’s Independent Project of China(Granted No.524609230125);the foundation of NARI-TECH Nanjing Control System Ltd.of China(Granted No.0914202403120020).; Time series prediction has always been an important problem in the field of machine learning.Among them,power load forecasting plays a crucial role in identifying the behavior of photovoltaic power plants and regulati...; 关键词：Times series forecasting long short term memory network(LSTM) time convolutional network(TCN) wavelet decomposition

TFN-FICFM:sEMG-Based Gesture Recognition Using Temporal Fusion Network and Fuzzy Integral-based Classifier Fusion: 《Journal of Bionic Engineering》2024年第4期1878-1891,共14页Fo Hu Kailun He Mengyuan Qian Mohamed Amin Gouda; supported in part by the Natural Science Foundation of Zhejiang Province(LQ23F030015);the Key Laboratory of Intelligent Processing Technology for Digital Music(Zhejiang Conservatory of Music),Ministry of Culture and Tourism(2023DMKLC013).; Surface electromyography(sEMG)-based gesture recognition is a key technology in the field of human–computer interaction.However,existing gesture recognition methods face challenges in effectively integrating discrimi...; 关键词：Gesture recognition SEMG Deep learning Temporal fusion Fuzzy fusion

A Temporal Convolutional Network Based Hybrid Model for Short-term Electricity Price Forecasting被引量：2: 《CSEE Journal of Power and Energy Systems》2024年第3期1119-1130,共12页Haoran Zhang Weihao Hu Di Cao Qi Huang Zhe Chen Frede Blaabjerg; supported by the Sichuan Science and Technology Program under Grant 2020JDJQ0037 and 2020YFG0312.; Electricity prices have complex features,such as high frequency,multiple seasonality,and nonlinearity.These factors will make the prediction of electricity prices difficult.However,accurate electricity price predictio...; 关键词：Autoregressive integrated moving average model electricity price forecasting empirical mode decomposition temporal convolutional network

Analysis and Modeling of Time Output Characteristics for Distributed Photovoltaic and Energy Storage: 《Energy Engineering》2024年第4期933-949,共17页Kaicheng Liu Chen Liang Xiaoyang Dong Liping Liu; The Science and Technology Project of the State Grid Corporation of China(Research and Demonstration of Loss Reduction Technology Based on Reactive Power Potential Exploration and Excitation of Distributed Photovoltaic-Energy Storage Converters:5400-202333241 A-1-1-ZN).; Due to the unpredictable output characteristics of distributed photovoltaics,their integration into the grid can lead to voltage fluctuations within the regional power grid.Therefore,the development of spatial-tempora...; 关键词：Photovoltaic power generation spatio-temporal prediction temporal convolutional network long short-term memory network

TSCND:Temporal Subsequence-Based Convolutional Network with Difference for Time Series Forecasting: 《Computers, Materials & Continua》2024年第3期3665-3681,共17页Haoran Huang Weiting Chen Zheming Fan; supported by the National Key Research and Development Program of China(No.2018YFB2101300);the National Natural Science Foundation of China(Grant No.61871186);the Dean’s Fund of Engineering Research Center of Software/Hardware Co-Design Technology and Application,Ministry of Education(East China Normal University).; Time series forecasting plays an important role in various fields, such as energy, finance, transport, and weather. Temporal convolutional networks (TCNs) based on dilated causal convolution have been widely used in t...; 关键词：DIFFERENCE data prediction time series temporal convolutional network dilated convolution

Aeroengine thrust estimation and embedded verification based on improved temporal convolutional network: 《Chinese Journal of Aeronautics》2024年第1期106-117,共12页Wanzhi MENG Zhuorui PAN Sixin WEN Pan QIN Ximing SUN; co-supported by the National Natural Science Foundation of China(Nos.61890920,61890921)。; Thrust estimation is a significant part of aeroengine thrust control systems.The traditional estimation methods are either low in accuracy or large in computation.To further improve the estimation effect,a thrust esti...; 关键词：Thrust estimation Temporal convolutional network Embedded deployment Hardware-in-the-loop testing Ignition verification

A Time Series Intrusion Detection Method Based on SSAE,TCN and Bi-LSTM: 《Computers, Materials & Continua》2024年第1期845-871,共27页Zhenxiang He Xunxi Wang Chunwei Li; supported in part by the Gansu Province Higher Education Institutions Industrial Support Program:Security Situational Awareness with Artificial Intelligence and Blockchain Technology.Project Number(2020C-29).; In the fast-evolving landscape of digital networks,the incidence of network intrusions has escalated alarmingly.Simultaneously,the crucial role of time series data in intrusion detection remains largely underappreciat...; 关键词：Network intrusion detection bidirectional long short-term memory network time series stacked sparse autoencoder temporal convolutional network time steps

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