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SELECTION: 作品数：1248被引量：1769H指数：14; 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：林亚琼陈冠铭胡昌勤陈海荣杨晓洪更多>>; 相关机构：清华大学天津大学华中科技大学东南大学更多>>; 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>>

Selection and Parameter Optimization of Constraint Systems for Girder-End Longitudinal Displacement Control inThree-Tower Suspension Bridges: 《Structural Durability & Health Monitoring》2025年第3期643-664,共22页Zihang Wang Ying Peng Xiong Lan Xiaoyu Bai Chao Deng Yuan Ren; supported by the National Key Research and Development Program of China(No.2022YFB3706704);the Academician Special Science Research Project of CCCC(No.YSZX-03-2022-01-B).; To investigate the influence of different longitudinal constraint systems on the longitudinal displacement at the girder ends of a three-tower suspension bridge,this study takes the Cangrong Xunjiang Bridge as an engi...; 关键词：Three-tower suspension bridge vehicle loads longitudinal constraint system viscous damper multiobjective parameter optimization

Ordered Clustering-Based Semantic Music Recommender System Using Deep Learning Selection: 《Computers, Materials & Continua》2025年第5期3025-3057,共33页Weitao Ha Sheng Gang Yahya D.Navaei Abubakar S.Gezawa Yaser A.Nanehkaran; funded by the National Nature Sciences Foundation of China with Grant No.42250410321。; Music recommendation systems are essential due to the vast amount of music available on streaming platforms,which can overwhelm users trying to find new tracks that match their preferences.These systems analyze users...; 关键词：Music recommender system order clustering deep learning

Predicting anti-cancer drug sensitivity through WRE-XGBoost algorithm with weighted feature selection: 《Genes & Diseases》2025年第2期15-17,共3页Yiyao Jiang Ming Chen Zhongmin Xiong Yufang Qin; supported in part by the Shanghai Science and Technology Innovation Action Planning (No.20dz1203800 to M.C.);the Research and Development Planning in Key Areas of Guangdong Province,China (No.2021 B0202070001 to M.C.);the National Natural Sci-ence Foundation of China (No.61702325 to Y.Q.).; Accurate prediction of drug susceptibility is one of themost important steps in personalized medicine.Applications of machine learning to pharmacogenomic data for sensitivity prediction can help study the mechanism of...; 关键词：STEPS SUSCEPTIBILITY ALGORITHM

Cooperative Relaying and Jamming Design for Secure LPWAN Wireless Communication: 《China Communications》2025年第4期100-116,共17页Chen Dianxia Ma Xiaoshan Yang Lin Yu Kan Feng Zhiyong; supported by the National Natural Science Foundation of China with Grants 62301076 and 62321001。; Physical layer security methods based on joint relay and jammer selection(JRJS)have been widely investigated in the study of secure wireless communications.Different from current works on JRJS schemes,which assumed th...; 关键词：joint relay and jammer selection physical layer security secrecy outage probability

Motion Analysis of a New Final Coal Sorter Based on Multi-Body Dynamics: 《Journal of Electronic Research and Application》2025年第2期35-42,共8页Qin-ci Xu Fu-hao Zhang Fang-fang Zhang; Research has been conducted on dry coal selection technology to achieve efficient and clean utilization of coal and reduce water resource waste.To investigate the effective separation of 6-1 mm fine coal using this ap...; 关键词：Vibrating cascade sorter Dry coal selection technology ADAMS Simulation Motion characteristic

Strategic codon selection for enhanced genetic code expansion: 《Science China(Life Sciences)》2025年第3期884-886,共3页Zhouqing Luo Junbiao Dai; supported by the National Key Research and Development Program of China(2021YFF1200300);the National Natural Science Foundation of China(32122050,32370074);Guangdong Basic and Applied Basic Research Foundation(2021B1515020060);Guangdong Provincial Science and Technology Projects(2022A0505090009);Innovation Program of Chinese Academy of Agricultural Science,and Shenzhen Outstanding Talents Training Fund.; Incorporating noncanonical amino acids(ncAAs)beyond these naturally occurring ones into proteins has proven to be a powerful method for modifying their properties,leading to significant advancements in both fundamenta...; 关键词：EXPANSION system FIGURE

Optimal Location of Renewable Energy Generators in Transmission and Distribution System of Deregulated Power Sector:A Review: 《Energy Engineering》2025年第3期823-859,共37页Digambar Singh Najat Elgeberi Mohammad Aljaidi Ramesh Kumar Rabia Emhamed Al Mamlook Manish Kumar Singla; The literature on multi-attribute optimization for renewable energy source(RES)placement in deregulated power markets is extensive and diverse in methodology.This study focuses on the most relevant publications direct...; 关键词：Optimization of RESs distributed generation modeling and selection of RESs hybrid systems standalone systems optimal location

Learnability in Online Kernel Selection with Memory Constraint via Data-Dependent Regret Analysis: 《Journal of Computer Science & Technology》2025年第1期73-84,共12页Jun-Fan Li Shi-Zhong Liao; supported by the National Natural Science Foundation of China under Grant No.62076181.; Online kernel selection is a fundamental problem of online kernel methods.In this paper,we study online kernel selection with memory constraint in which the memory of kernel selection and online prediction procedures ...; 关键词：model selection online kernel learning memory constraint LEARNABILITY

Segmented Linear Regression Trees: 《Acta Mathematica Sinica,English Series》2025年第2期498-521,共24页Xiangyu Zheng Songxi Chen; Tree-based models have been widely applied in both academic and industrial settings due to the natural interpretability, good predictive accuracy, and high scalability. In this paper, we focus on improving the single-...; 关键词：Regression trees segmented linear regression split selection tree pruning

Fractal autoencoder with redundancy regularization for unsupervised feature selection: 《Science China(Information Sciences)》2025年第2期85-98,共14页Meiting SUN Fangyu LI Honggui HAN; supported by National Key Research and Development Project(Grant Nos.2022YFB3305800-5,2023YFB3307300);National Natural Science Foundation of China(Grant Nos.62125301,62373014,92267107);Beijing Youth Scholar(Grant No.037)。; Feature selection is a crucial step in data preprocessing because feature selection reduces the dimensionality of data by eliminating irrelevant and redundant features.Since manual labeling is expensive,unsupervised f...; 关键词：unsupervised feature selection fractal autoencoder correspondence neural network selection neural network re-dundancy regularization strategy

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