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FEATURE_EXTRACTION: 作品数：602被引量：1192H指数：13; 导出分析报告; 相关作者：丁幼亮费庆国李爱群刘毅张丽艳更多>>; 相关机构：清华大学南京航空航天大学东南大学华中师范大学更多>>; 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>>

A Two-Stage Feature Extraction Approach for Green Energy Consumers in Retail Electricity Markets Using Clustering and TF–IDF Algorithms: 《Energy Engineering》2025年第5期1697-1713,共17页Wei Yang Weicong Tan Zhijian Zeng Ren Li Jie Qin Yuting Xie Yongjun Zhang Runting Cheng Dongliang Xiao; support by the Science and Technology Project of Guangdong Power Exchange Center Co.,Ltd.(No.GDKJXM20222599);National Natural Science Foundation of China(No.52207104);Natural Science Foundation of Guangdong Province(No.2024A1515010426).; The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies,which poses greater challenges for th...; 关键词：Green energy consumer feature extraction knowledge graph retail electricity market

SESDP:A Sentiment Analysis-Driven Approach for Enhancing Software Product Security by Identifying Defects through Social Media Reviews: 《Computers, Materials & Continua》2025年第4期1327-1345,共19页Farah Mohammad Saad Al-Ahmadi Jalal Al-Muhtadi; funded by a grant from the Center of Excellence in Information Assurance(CoEIA),King Saud University(KSU).; Software defect prediction is a critical component in maintaining software quality,enabling early identification and resolution of issues that could lead to system failures and significant financial losses.With the in...; 关键词：Software defect data balancing feature extraction RoBERTa TRANSFORMER

An Explainable Autoencoder-Based Feature Extraction Combined with CNN-LSTM-PSO Model for Improved Predictive Maintenance: 《Computers, Materials & Continua》2025年第4期635-659,共25页Ishaani Priyadarshini; Predictive maintenance plays a crucial role in preventing equipment failures and minimizing operational downtime in modern industries.However,traditional predictive maintenance methods often face challenges in adaptin...; 关键词：Explainability feature reduction predictive maintenance OPTIMIZATION

Face recognition algorithm using collaborative sparse representation based on CNN features: 《Journal of Measurement Science and Instrumentation》2025年第1期85-95,共11页ZHAO Shilin XU Chengjun LIU Changrong; the financial support from Natural Science Foundation of Gansu Province(Nos.22JR5RA217,22JR5RA216);Lanzhou Science and Technology Program(No.2022-2-111);Lanzhou University of Arts and Sciences School Innovation Fund Project(No.XJ2022000103);Lanzhou College of Arts and Sciences 2023 Talent Cultivation Quality Improvement Project(No.2023-ZL-jxzz-03)。; Considering that the algorithm accuracy of the traditional sparse representation models is not high under the influence of multiple complex environmental factors,this study focuses on the improvement of feature extrac...; 关键词：sparse representation deep learning face recognition dictionary update feature extraction

Improving Fundus Detection Precision in Diabetic Retinopathy Using Derivative-Based Deep Neural Networks: 《Computer Modeling in Engineering & Sciences》2025年第3期2487-2511,共25页Asma Aldrees Hong Min Ashit Kumar Dutta Yousef Ibrahim Daradkeh Mohd Anjum; supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(No.2021R1F1A1055408);supported by the Researchers Supporting Project Number(MHIRSP2024005)Almaarefa University,Riyadh,Saudi Arabia.; Fundoscopic diagnosis involves assessing the proper functioning of the eye’s nerves,blood vessels,retinal health,and the impact of diabetes on the optic nerves.Fundus disorders are a major global health concern,affec...; 关键词：Deep neural network feature extraction fundus detection medical image processing

LLE-Fuse:Lightweight Infrared and Visible Light Image Fusion Based on Low-Light Image Enhancement: 《Computers, Materials & Continua》2025年第3期4069-4091,共23页Song Qian Guzailinuer Yiming Ping Li Junfei Yang Yan Xue Shuping Zhang; This researchwas Sponsored by Xinjiang Uygur Autonomous Region Tianshan Talent Programme Project(2023TCLJ02);Natural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01C349).; Infrared and visible light image fusion technology integrates feature information from two different modalities into a fused image to obtain more comprehensive information.However,in low-light scenarios,the illuminati...; 关键词：Infrared images image fusion low-light enhancement feature extraction computational resource optimization

Few-shot anomaly detection with adaptive feature transformation and descriptor construction: 《Chinese Journal of Aeronautics》2025年第3期491-504,共14页Zhengnan HU Xiangrui ZENG Yiqun LI Zhouping YIN Erli MENG Leyan ZHU Xianghao KONG; supported by the National Natural Science Foundation of China(No.52188102).; Anomaly Detection (AD) has been extensively adopted in industrial settings to facilitate quality control of products. It is critical to industrial production, especially to areas such as aircraft manufacturing, which ...; 关键词：Industrial applications Anomaly detection Learning algorithms Feature extraction Feature selection

A Weakly Supervised Semantic Segmentation Method Based on Improved Conformer: 《Computers, Materials & Continua》2025年第3期4631-4647,共17页Xueli Shen Meng Wang; In the field of Weakly Supervised Semantic Segmentation(WSSS),methods based on image-level annotation face challenges in accurately capturing objects of varying sizes,lacking sensitivity to image details,and having hi...; 关键词：WSSS CAM transformer CNN multi-scale feature extraction LIGHTWEIGHT

IPFA-Net:Important Points Feature Aggregating Net for Point Cloud Classification and Segmentation: 《Chinese Journal of Electronics》2025年第1期322-337,共16页Jingya Wang Yu Zhang Bin Zhang Jinxiang Xia Weidong Wang; supported by the Sichuan Province Science and Technology Support Program(Grant No.2021YFQ0054);the Open Project Fund of Intelligent Terminal Key Laboratory of Sichuan Province(2020–2021)(Grant No.SCITLAB-0012)。; This paper focuses on the problems of point cloud deep neural networks in classification and segmentation tasks,including losing important information during down-sampling,ignoring relationships among points when extr...; 关键词：Deep learning Point clouds DOWN-SAMPLING Feature extraction

Tomato Growth Height Prediction Method by Phenotypic Feature Extraction Using Multi-modal Data: 《智慧农业(中英文)》2025年第1期97-110,共14页GONG Yu WANG Ling ZHAO Rongqiang YOU Haibo ZHOU Mo LIU Jie; 中央高校基本科研业务费专项资金(2023FRFK06013);黑龙江省重点研发计划项目(2023ZX01A24);哈尔滨工业大学横向项目(MH20240081)。; [Objective]Accurate prediction of tomato growth height is crucial for optimizing production environments in smart farming.However,current prediction methods predominantly rely on empirical,mechanistic,or learning-base...; 关键词：tomato growth prediction deep learning phenotypic feature extraction multi-modal data recurrent neural net‐work long short-term memory large language model

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