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AUTOMATED: 作品数：669被引量：1100H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：高飞邱海波黄英姿刘松桥高能更多>>; 相关机构：东南大学北京航空航天大学湖南大学北京化工大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划中国博士后科学基金更多>>

Development of an automated photolysis rates prediction system based on machine learning: 《Journal of Environmental Sciences》2025年第5期211-224,共14页Weijun Pan Sunling Gong Huabing Ke Xin Li Duohong Chen Cheng Huang Danlin Song; supported by the National Key Project of the Ministry of Science and Technology of China(No.2022YFC3701200);the National Natural Science Foundation of China(No.42090030).; Based on observed meteorological elements,photolysis rates(J-values)and pollutant concentrations,an automated J-values predicting system by machine learning(J-ML)has been developed to reproduce and predict the J-value...; 关键词：J-values Automated prediction system Machine learning Short-term prediction O_(3)simulated improvement

Intelligent Vehicle Lane-Changing Strategy through Polynomial and Game Theory: 《Computers, Materials & Continua》2025年第5期2003-2023,共21页Buwei Dang Huanming Chen Heng Zhang Jixian Wang Jian Zhou; supported by the Science and Technology Program of Shandong Higher Education Institutions(Grant J18KA048).; This paper introduces a lane-changing strategy aimed at trajectory planning and tracking control for intelligent vehicles navigating complex driving environments.A fifth-degree polynomial is employed to generate a set...; 关键词：Lane-changing strategy trajectory planning game theory tracking control automated driving

Steel Ball Defect Detection System Using Automatic Vertical Rotating Mechanism and Convolutional Neural Network: 《Computers, Materials & Continua》2025年第4期97-114,共18页Yi-Ze Wu Yi-Cheng Huang; Precision steel balls are critical components in precision bearings.Surface defects on the steel balls will significantly reduce their useful life and cause linear or rotational transmission errors.Human visual inspec...; 关键词：Steel ball surface defect inspection automated optical inspection convolutional neural network

Auto-3D-house Design from Structured User Requirements: 《Machine Intelligence Research》2025年第2期368-385,共18页Minkui Tan Qi Chen Zixiong Huang Qi Wu Yuanqing Li Jiaqiu Zhou; supported by the National Natural Science Foundation of China(NSFC)(No.62072190);TCL Science and Technology Innovation Fund,China.; We study the task of automated house design,which aims to automatically generate 3D houses from user requirements.However,in the automatic system,it is non-trivial due to the intrinsic complexity of house designing:1)...; 关键词：Automated house design user requirements understanding outline processing layout generation graph feature generation.

Enhancing mineral processing with deep learning: Automated quartz identification using thin section images: 《International Journal of Minerals,Metallurgy and Materials》2025年第4期802-816,共15页Gökhan Külekçi Kemal Hacıefendioğlu Hasan Basri Başağa; The precise identification of quartz minerals is crucial in mineralogy and geology due to their widespread occurrence and industrial significance.Traditional methods of quartz identification in thin sections are labor...; 关键词：quartz mineral identification deep learning hyperspectral imaging deep learning in geology

A combined system with convolutional neural networks and transformers for automated quantification of left ventricular ejection fraction from 2D echocardiographic images: 《Intelligent Medicine》2025年第1期46-53,共8页Mingming Lin Liwei Zhang Zhibin Wang Hengyu Liu Keqiang Wang Guozhang Tang Wenkai Wang Pin Sun; Background Accurate measurement of left ventricular ejection fraction(LVEF)is crucial in diagnosing and managing cardiac conditions.Deep learning(DL)models offer potential to improve the consistency and efficiency of ...; 关键词：Lightweight model TRANSFORMER Left ventricular ejection fraction Device integration ECHOCARDIOGRAPHY

A 3-Dimensional Cargo Loading Algorithm for the Conveyor-Type Loading System: 《Computer Modeling in Engineering & Sciences》2025年第3期2739-2769,共31页Hyeonbin Jeong Young Tae Ryu Byung Duk Song Sang-Duck Lee; supported by the BK21 FOUR funded by the Ministry of Education of Korea and National Research Foundation of Korea,a Korea Agency for Infrastructure Technology Advancement(KAIA)grant funded by the Ministry of Land,Infrastructure,and Transport(Grant 1615013176);IITP(Institute of Information&Coummunications Technology Planning&Evaluation)-ICAN(ICT Challenge and Advanced Network of HRD)grant funded by the Korea government(Ministry of Science and ICT)(RS-2024-00438411).; This paper proposes a novel cargo loading algorithm applicable to automated conveyor-type loading systems.The algorithm offers improvements in computational efficiency and robustness by utilizing the concept of discre...; 关键词：3-dimensional loading automated loading system B2C logistics cargo loading algorithm conveyortype loading

Global prescribed performance control for lane-keeping of automated vehicles considering input saturation: 《Journal of Automation and Intelligence》2025年第1期65-71,共7页Zhibang Si Yujuan Wang Qing Chen Manling Wu; supported in part by the National Key Research and Development Program of China under Grant 2023YFA1011803;in part by Natural Science Foundation of Chongqing,China under Grant CSTB2023NSCQ-MSX0588;in part by the Fundamental Research Funds for the Central Universities,China under Grant 2023CDJKYJH047;in part by the National Natural Science Foundation of China under Grant 62273064,Grant 61991400,Grant 61991403,Grant 61933012,Grant 62250710167,Grant 62203078;in part by Innovation Support Program for International Students Returning to China under Grant cx2022016.; This paper addresses the lane-keeping control problem for autonomous ground vehicles subject to input saturation and uncertain system parameters.An enhanced adaptive terminal sliding mode based prescribed performance ...; 关键词：Lane keeping Global prescribed performance Adaptive terminal sliding mode control Input saturation

Enhancing Classification Algorithm Recommendation in Automated Machine Learning: A Meta-Learning Approach Using Multivariate Sparse Group Lasso: 《Computer Modeling in Engineering & Sciences》2025年第2期1611-1636,共26页Irfan Khan Xianchao Zhang Ramesh Kumar Ayyasamy Saadat M.Alhashmi Azizur Rahim; The rapid growth of machine learning(ML)across fields has intensified the challenge of selecting the right algorithm for specific tasks,known as the Algorithm Selection Problem(ASP).Traditional trial-and-error methods...; 关键词：META-LEARNING machine learning automated machine learning classification meta-features

CamDroid:Context-Aware Model-Based Automated GUI Testing for Android Apps: 《Tsinghua Science and Technology》2025年第1期55-67,共13页Hongyi Wang Yang Li Jing Yang Daqiang Hu Zhi Liao; supported by the National Key R&D Program of China(No.2022YFB4500703);the National Natural Science Foundation of China(Nos.61902211 and 62202266);the China Postdoctoral Science Foundation(No.2022M721831);Microsoft Research Asia(No.100336949).; Recent years have witnessed the widespread adoption of mobile applications(apps for short).For quality-of-service and commercial competitiveness,sufficient Graphical User Interface(GUI)testing is required to verify th...; 关键词：Android app automated Graphical User Interface(GUI)testing state transition model text input generation

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