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FEATURE: 作品数：1302被引量：2046H指数：17; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：赵力孙正兴张福炎邸晓伟牛志一更多>>; 相关机构：东南大学上海交通大学华南理工大学南京大学更多>>; 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国家教育部博士点基金更多>>

Interpreting hourly mass concentrations of PM_(2.5)chemical components with an optimal deep-learning model: 《Journal of Environmental Sciences》2025年第5期125-139,共15页Hongyi Li Ting Yang Yiming Du Yining Tan Zifa Wang; supported by the National Key Research and Development Program for Young Scientists of China(No.2022YFC3704000);the National Natural Science Foundation of China(No.42275122);the National Key Scientific and Technological Infrastructure project“Earth System Science Numerical Simulator Facility”(EarthLab).; PM_(2.5)constitutes a complex and diversemixture that significantly impacts the environment,human health,and climate change.However,existing observation and numerical simulation techniques have limitations,such as a l...; 关键词：Pm2.5 chemical composition Hourly mass concentration Deep learning Bayesian optimization Feature importance

TransSSA: Invariant Cue Perceptual Feature Focused Learning for Dynamic Fruit Target Detection: 《Computers, Materials & Continua》2025年第5期2829-2850,共22页Jianyin Tang Zhenglin Yu Changshun Shao; supported in part by the Basic Research Project of Science and Technology Department of Jilin Province,China(Grant No.202002044JC).; In the field of automated fruit harvesting,precise and efficient fruit target recognition and localization play a pivotal role in enhancing the efficiency of harvesting robots.However,this domain faces two core challe...; 关键词：Fruit recognition invariant features TransSSA model swin transformer self-attention mechanism

CG-FCLNet:Category-Guided Feature Collaborative Learning Network for Semantic Segmentation of Remote Sensing Images: 《Computers, Materials & Continua》2025年第5期2751-2771,共21页Min Yao Guangjie Hu Yaozu Zhang; funded by National Natural Science Foundation of China(61603245).; Semantic segmentation of remote sensing images is a critical research area in the field of remote sensing.Despite the success of Convolutional Neural Networks(CNNs),they often fail to capture inter-layer feature relat...; 关键词：Semantic segmentation remote sensing feature context interaction attentionmodule category-guided module

Research on the estimation of wheat AGB at the entire growth stage based on improved convolutional features: 《Journal of Integrative Agriculture》2025年第4期1403-1423,共21页Tao Liu Jianliang Wang Jiayi Wang Yuanyuan Zhao Hui Wang Weijun Zhang Zhaosheng Yao Shengping Liu Xiaochun Zhong Chengming Sun; supported by the Postgraduate Research&Practice Innovation Program of Jiangsu Province,China(SJCX23_1973);the National Natural Science Foundation of China(32172110,32071945);the Key Research and Development Program(Modern Agriculture)of Jiangsu Province,China(BE2022342-2,BE2020319);the Anhui Province Crop Intelligent Planting and Processing Technology Engineering Research Center Open Project,China(ZHKF04);the National Key Research and Development Program of China(2023YFD2300201,2023YFD1202200);the Special Funds for Scientific and Technological Innovation of Jiangsu Province,China(BE2022425);the Priority Academic Program Development of Jiangsu Higher Education Institutions,China(PAPD);the Central Publicinterest Scientific Institution Basal Research Fund,China(JBYW-AII-2023-08);the Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences(CAAS-CS-202201);the Special Fund for Independent Innovation of Agriculture Science and Technology in Jiangsu Province,China(CX(22)3112)。; The wheat above-ground biomass(AGB)is an important index that shows the life activity of vegetation,which is of great significance for wheat growth monitoring and yield prediction.Traditional biomass estimation method...; 关键词：WHEAT above-ground biomass UAV entire growth stage convolutional feature

Dialogue Relation Extraction Enhanced with Trigger:A Multi-Feature Filtering and Fusion Model: 《Computers, Materials & Continua》2025年第4期137-155,共19页Haitao Wang Yuanzhao Guo Xiaotong Han Yuan Tian; supported by the National Key Research and Development Program of China(No.2023YFF0905400);the National Natural Science Foundation of China(No.U2341229).; Relation extraction plays a crucial role in numerous downstream tasks.Dialogue relation extraction focuses on identifying relations between two arguments within a given dialogue.To tackle the problem of low informatio...; 关键词：Dialogue relation extraction feature filtering chain-of-thought

Call for Papers——Feature Topic Vol.23,No.1,2026: 《China Communications》2025年第4期F0003-F0003,共1页; Space-Terrestrial Integrated 6G Network:Architecture,Networking,and Transmission Technologies With the large-scale deployment of satellite constellations such as Starlink and the rapid advancement of technologies incl...; 关键词：g network architecturenetworkingand satellite constellations space terrestrial integrated g network terrestrial networks artificial intelligence ai communication technologies satellite networks Starlink

Weld Defect Monitoring Based on Two-Stage Convolutional Neural Network: 《Journal of Shanghai Jiaotong university(Science)》2025年第2期291-299,共9页XIAO Wenbo XIONG Jiakai YU Lesheng HE Yinshui MA Guohong; the National Natural Science Foundation of China(No.12064027)。; Zn vapour is easily generated on the surface by fusion welding galvanized steel sheet,resulting in the formation of defects.Rapidly developing computer vision sensing technology collects weld images in the welding pro...; 关键词：defects monitoring image preprocessing Resnet101 feature pyramid network

GUIDE FOR AUTHORS: 《Green Energy & Environment》2025年第4期I0002-I0005,共4页; Introduction Types of paper Contributions flling into the following catcgories will be considered for publication:Reviews article(>10000 words),Short review(~5000 words),Feature article(>8000 words),Research paper,Sho...; 关键词：special issue article VIEWPOINT REVIEWS feature article short review short communication research paper ARTICLE

DFNet: A Differential Feature-Incorporated Residual Network for Image Recognition: 《Journal of Bionic Engineering》2025年第2期931-944,共14页Pengxing Cai Yu Zhang Houtian He Zhenyu Lei Shangce Gao; supported by the Japan Society for the Promotion of Science(JSPS)KAKENHI under Grant JP22H03643;Japan Science and Technology Agency(JST)Support for Pioneering Research Initiated by the Next Generation(SPRING)under Grant JPMJSP2145;JST through the Establishment of University Fellowships towards the Creation of Science Technology Innovation under Grant JPMJFS2115.; Residual neural network (ResNet) is a powerful neural network architecture that has proven to be excellent in extracting spatial and channel-wise information of images. ResNet employs a residual learning strategy that...; 关键词：Deep learning Residual neural network Pattern recognition Residual block Differential feature

Simulation of lubrication on rough surfaces with multiscale lubrication neural networks: 《Science China(Technological Sciences)》2025年第3期192-203,共12页Yihu TANG Li HUANG Limin WU Xianghui MENG; supported by the National Natural Science Foundation of China(Grant No.52130502);the National Key Laboratory of Marine Engine Science and Technology(Grant No.LAB2023-06-WD)。; The simulation of lubrication on rough surfaces is essential for the design and optimization of tribological performance.Although the application of physics-informed neural networks(PINNs)in analyzing hydrodynamic lub...; 关键词：physics-informed neural network Fourier feature embedding multiscale lubrication rough surface

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