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Deepfake Detection Method Based on Spatio-Temporal Information Fusion
《Computers, Materials & Continua》2025年第5期3351-3368,共18页Xinyi Wang Wanru Song Chuanyan Hao Feng Liu 
supported by National Natural Science Foundation of China(Nos.62477026,62177029,61807020);Humanities and Social Sciences Research Program of the Ministry of Education of China(No.23YJAZH047);the Startup Foundation for Introducing Talent of Nanjing University of Posts and Communications under Grant NY222034.
As Deepfake technology continues to evolve,the distinction between real and fake content becomes increasingly blurred.Most existing Deepfake video detectionmethods rely on single-frame facial image features,which limi...
关键词：Deepfake detection vision transformer spatio-temporal information 
Analysis of Conjoint Response in Post-stroke Patients Using the Attention-coupled Weighting Method
《Machine Intelligence Research》2025年第2期352-367,共16页Jingyao Chen Chen Wang Ningcun Xu Zeng-Guang Hou Liang Peng Pu Zhang 
supported in part by the National Key Research and Development Program of China(No.2022YFC3601200);in part by the National Natural Science Foundation of China(Nos.U1913601,U21A20479 and 62203441);in part by the Beijing Sci&Tech Program,China(No.Z211100007921021);in part by the Beijing Natural Science Foundation,China(No.Z170003).
Rehabilitation assessment plays a vital role in the recovery process of post-stroke patients.Currently,many studies have focused on the implementation of automated assessment scales.However,the impact of stroke on the...
关键词：Intelligent assessment conjoint response attentional coupling network spatio-temporal weight extraction. 
STDNet:Improved lip reading via short-term temporal dependency modeling
《虚拟现实与智能硬件(中英文)》2025年第2期173-187,共15页Xiaoer WU Zhenhua TAN Ziwei CHENG Yuran RU 
Supported by the National Key Research and Development Program of China(2023YFC3306201);the National Natural Science Foundation of China(61772125);the Fundamental Research Funds for the Central Universities(N2317004).
Background Lip reading uses lip images for visual speech recognition.Deep-learning-based lip reading has greatly improved performance in current datasets;however,most existing research ignores the significance of shor...
关键词：Lip reading Spatio-temporal feature fusion Short-term temporal dependency modeling 
Spatio-temporal changes and driving forces of ecological environment quality in northern China from 2000 to 2022
《Journal of Geographical Sciences》2025年第4期763-782,共20页ZHEN Baiqin DANG Guofeng ZHU Li 
National Natural Science Foundation of China,No.41971268。
Regular quantitative assessments of regional ecological environment quality(EEQ)and driving force analyses are highly important for environmental protection and sustainable development.Northern China is a typical clim...
关键词：remote sensing ecological index ecological environment quality Google Earth Engine geographical detector northern China 
Spatio-temporal correlation analysis of urbanization and ecosystem service based on grid analysis:A case study of Taixin Integrated Economic Zone,Shanxi,China
《Ecological Economy》2025年第1期2-24,共23页LIU Meng LI Shao-kun WANG Shuang LI Xiao-jing 
supported by the Natural Science Foundation of Shanxi Province(Grant No.20210302124437);the Graduate Student Research and Innovation Project of Shanxi Province(Grant No.2023KY551).
In this paper,the Taixin Integrated Economic Zone in Shanxi Province is taken as the research object,and the coupling coordination degree model and bivariate spatial autocorrelation model are used to judge the couplin...
关键词：URBANIZATION ecosystem service coupling coordination degree model bivariate spatial autocorrelation model hotspot analysis 
Spatio-temporal evolution process and mechanism of land use in creative urban tourism complex:A case study of Hangzhou Leisure Expo Garden
《Ecological Economy》2025年第1期25-47,共23页LV Jiong-yan LI Wei-wei 
Exploring the spatial evolution patterns of land use in creative urban tourism complexes provides theoretical and decision-making support to foster creative tourism projects.This study focuses on the Hangzhou Leisure ...
关键词：creative urban tourism complex land use spatio-temporal evolution Hangzhou Leisure Expo Garden 
Efficient Spatio-Temporal Predictive Learning for Massive MIMO CSI Prediction
《ZTE Communications》2025年第1期3-10,共8页CHENG Jiaming CHEN Wei LI Lun AI Bo 
supported in part by the Natural Science Foundation of China under Grant Nos.U2468201 and 62221001;ZTE Industry-University-Institute Cooperation Funds under Grant No.IA20240420002。
Accurate channel state information(CSI)is crucial for 6G wireless communication systems to accommodate the growing demands of mobile broadband services.In massive multiple-input multiple-output(MIMO)systems,traditiona...
关键词：massive MIMO deep learning CSI prediction CSI feedback 
Deep Reinforcement Learning for automated scheduling of mining earthwork equipment with spatio-temporal safety constraints
《Frontiers of Engineering Management》2025年第1期39-58,共20页Yanan LU Ke YOU Yuxiang WANG Ying LIU Cheng ZHOU Yutian JIANG Zhangang WU 
National Natural Science Foundation of China(Grant Nos.72171092,52192664 and 71821001);Natural Science Fund for Distinguished Young Scholars of Hubei Province,China(Grant No.2021CFA091).
Large-scale machinery operated in a coordinat-ed manner in earthworks for mining constitutes high safety risks.Efficient scheduling of such machinery,factoring in safety constraints,could save time and significantly i...
关键词：deep reinforcement learning mining earthwork automated scheduling spatio-temporal safety constraints 
Heterogeneous Spatio-Temporal Graph Contrastive Learning for Point-of-Interest Recommendation
《Tsinghua Science and Technology》2025年第1期186-197,共12页Jiawei Liu Haihan Gao Cheng Yang Chuan Shi Tianchi Yang Hongtao Cheng Qianlong Xie Xingxing Wang Dong Wang 
As one of the most crucial topics in the recommendation system field,point-of-interest(POI)recommendation aims to recommending potential interesting POIs to users.Recently,graph neural networks(GNNs)have been successf...
关键词：point-of-interest recommendation graph neural network self-supervised learning 
KNN spatio-temporal attention graph convolutional network for traffic flow repairing
《The Journal of China Universities of Posts and Telecommunications》2025年第1期48-60,共13页Zhang Xijun Li Zhe 
supported by the National Natural Science Foundation of China (62162040);the Gansu Provincial Science and Technology Plan Funding Key Project of Natural Science Foundation of China (22JR5RA226);the Gansu Province Higher Education Innovation Fund-Funded Project (2021A-028);the Gansu Provincial Science and Technology Program Funding Project (21ZD4GA028)。
In the process of obtaining information from the actual traffic network, the incomplete data set caused by missing data reduces the validity of the data and the performance of the data-driven model. A traffic flow rep...
关键词：missing data repair complete index set(CIS) interpolation-reconstruction k-nearest neighbor(KNN)algorithm spatio-temporal correlation 
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