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Audiovisual Art Event Classification and Outreach Based on Web Extracted Data
《Journal of Software Engineering and Applications》2025年第1期24-43,共20页Andreas Giannakoulopoulos Minas Pergantis Aristeidis Lamprogeorgos Stella Lampoura 
The World Wide Web provides a wealth of information about everything, including contemporary audio and visual art events, which are discussed on media outlets, blogs, and specialized websites alike. This information m...
关键词：Web Data Extraction Art Events Classification Artistic Outreach Online Media 
Smart farming:Leveraging IoT and deep learning for sustainable tomato cultivation and pest management
《Crop Design》2024年第4期45-56,共12页Md Rakibul Hasan Md.Mahbubur Rahman Fahim Shahriar Md.Saikat Islam Khan Khandaker Mohammad Mohi Uddin Md.Mosaddik Hasan 
Since the world's population is rising continuously,more cultivable land is being utilized for their dwellings.As a result,proper plan and technological breakthroughs shall be necessary to solve the food shortage.Toma...
关键词：Tomato's’pest classification Tomato's’plant monitoring Deep learning in Insect's identification IoT in smart farming 
Fine spatial scale assessment of structure and configuration of vegetation cover for northern bobwhites in grazed pastures
《Ecological Processes》2024年第4期36-50,共15页J.Silverio Avila‑Sanchez Humberto L.Perotto‑Baldivieso Lori D.Massey J.Alfonso Ortega‑S Leonard A.Brennan Fidel Hernández 
supported by the Hildebrand Foundation,Ken Leonard Fund for Livestock Interactions Research,Harvey Weil Foundation,Comision Nacional de Ciencia y Tecnologia(CONACYT),Houston Safari Club,South Texas Quail Coalition Chapter,Hill Country Quail Coalition,and R.Stacy from Houston,TX.
Background Monitoring forage in livestock operations is critical to sustainable rangeland management of soil and ecological processes that provide both livestock and wildlife habitat.Traditional ground-based sampling ...
关键词：Spatial heterogeneity Landscape metrics Image height classification Canopy height model Normalized digital surface model 
IIN-FFD:Intra-Inter Network for Face Forgery Detection
《Tsinghua Science and Technology》2024年第6期1839-1850,共12页Qihua Zhou Zhili Zhou Zhipeng Bao Weina Niu Yuling Liu 
Since different kinds of face forgeries leave similar forgery traces in videos,learning the common features from different kinds of forged faces would achieve promising generalization ability of forgery detection.Ther...
关键词：deep learning information security image classfication neural networks face forgery face forgery detection 
基于主动安全的工业无线网络WIA-FA干扰检测研究被引量：1
《无线电通信技术》2024年第5期1000-1007,共8页陈紫煜 杨锋 孙超 
工业无线网络WIA-FA在工厂应用时,现场使用的诸如传感器、仪器仪表等工业设备产生的瞬时非平稳信号会影响信息传输的完整性、正确性和及时性。传统的无线干扰检测机制大多针对已作用的干扰进行检测和响应,无法及时做出应对和部署。因此...
关键词：工业无线WIA-FA 主动安全 干扰检测 FICA-STFT 
A Temporal Knowledge Graph Embedding Model Based on Variable Translation
《Tsinghua Science and Technology》2024年第5期1554-1565,共12页Yadan Han Guangquan Lu Shichao Zhang Liang Zhang Cuifang Zou Guoqiu Wen 
supported partly by National Natural Science Foundation of China(Nos.62372119 and 62166003);the Project of Guangxi Science and Technology(Nos.GuiKeAB23026040 and GuiKeAD20159041);the Innovation Project of Guangxi Graduate Education(No.YCSW2023188);Key Lab of Education Blockchain and Intelligent Technology,Ministry of Education,Guangxi Normal University,Guilin,China,Intelligent Processing and the Research Fund of Guangxi Key Lab of Multi-source Information Mining&Security(Nos.20-A-01-01 and MIMS21-M01);Open Research Fund of Guangxi Key Lab of Humanmachine Interaction and Intelligent Decision(No.GXHIID2206);the Guangxi Collaborative Innovation Center of Multi-Source Information Integration and the Guangxi“Bagui”Teams for Innovation and Research,China.
Knowledge representation learning(KRL)aims to encode entities and relationships in various knowledge graphs into low-dimensional continuous vectors.It is popularly used in knowledge graph completion(or link prediction...
关键词：knowledge graph knowledge graph completion variable translation temporal properties link prediction triplet classification 
Infrasound Event Classification Fusion Model Based on Multiscale SE-CNN and BiLSTM
《Applied Geophysics》2024年第3期579-592,620,共15页Hongru Li Xihai Li Xiaofeng Tan Chao Niu Jihao Liu Tianyou Liu 
supported by the Shaanxi Province Natural Science Basic Research Plan Project(2023-JC-YB-244).
The classification of infrasound events has considerable importance in improving the capability to identify the types of natural disasters.The traditional infrasound classification mainly relies on machine learning al...
关键词：infrasound classification channel attention convolution neural network bidirectional long short-term memory network multiscale feature fusion 
A compatible carbon efficiency information service framework based on the industrial internet identification
《Digital Communications and Networks》2024年第4期884-894,共11页Cheng Chi Yang Liu Baoluo Ma Senchun Chai Puning Zhang Zihang Yin 
supported by the 2018 Industrial Internet Innovation and Development Project——Industrial Internet Identification Resolution Sys⁃tem:National Top-Level Node Construction Project(Phase I).
Green and low-carbon is a new development model that seeks balance between environmental sustainability and high economic growth.If explainable and available carbon emission data can be accurately obtained,it will hel...
关键词：Industrial internet Identification and resolution Carbon emission data Carbon efficiency evaluation Carbon footprint tracking 
A novel graph oversampling framework for node classification in class-imbalanced graphs
《Science China(Information Sciences)》2024年第6期210-225,共16页Riting XIA Chunxu ZHANG Yan ZHANG Xueyan LIU Bo YANG 
supported by National Key R&D Program of China(Grant No.2021ZD0112500);National Natural Science Foundation of China(Grant Nos.U22A2098,62172185,62202200,62206105);Fundamental Research Funds for the Central Universities,JLU。
Graph neural network(GNN)is a promising method to analyze graphs.Most existing GNNs adopt the class-balanced assumption,which cannot deal with class-imbalanced graphs well.The oversampling technique is effective in al...
关键词：graph neural network class-imbalanced graphs sum-product network OVERSAMPLING node class-ification 
Equivariant R-Test Configurations and Semistable Limits of Q-Fano Group Compactifications
《Peking Mathematical Journal》2023年第2期559-607,共49页Yan Li Zhenye Li 
Let G be a connected,complex reductive group.In this paper,we classify G×G equivariant normal R-test configurations of a polarized G-compactification.Then,for Q-Fano G-compactifications,we express the H-invariants of...
关键词：Kähler-Ricci solitons Kähler-Ricci flow Q-Fano compactifications K-stability 
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