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    Uncertainty quantification of aeroelastic wings flutter using an optimized machine learning approach

    Rezaei, Mohsen / Shirazi, Kourosh H / H Khodaparast, Hamed | SAGE Publications | 2022
    Schlagwörter: machine learning

    The Teaching of Aerospace Vehicle Design at Cranfield University with Particular Reference to the Group Design Project

    Stocking, P J | SAGE Publications | 2007
    Schlagwörter: problem-based learning

    The prediction of autonomous vehicle occupants’ pre-crash motion during emergency braking scenarios

    Freier Zugriff
    Diederich, Alexander / Bastien, Christophe / Blundell, Mike | SAGE Publications | 2023
    Schlagwörter: machine learning

    Tactical driving decisions of unmanned ground vehicles in complex highway environments: A deep reinforcement learning approach

    Wang, Huanjie / Yuan, Shihua / Guo, Mengyu et al. | SAGE Publications | 2021
    Schlagwörter: deep reinforcement learning

    Study of the influence of multiple factors on the boundary layer of a high-lift LPT with the RBF-GA method

    Sun, Shuang / Huang, Zhen / Kang, Jinhui et al. | SAGE Publications | 2024
    Schlagwörter: machine learning

    Strategy for on-orbit space object classification using deep learning

    Lim, Seongmin / Kim, Jin-Hyung / Kim, Hae-Dong | SAGE Publications | 2021
    Schlagwörter: Deep learning

    Spacecraft autonomous navigation using line-of-sight directions of non-cooperative targets by improved Q-learning based extended Kalman filter

    Xiong, Kai / Zhou, Peng / Wei, Chunling | SAGE Publications | 2024
    Schlagwörter: Q-learning

    Soft one-class extreme learning machine for turboshaft engine fault detection

    Zhao, Yong-Ping / Huang, Gong | SAGE Publications | 2022
    Schlagwörter: machine learning , one-class extreme learning machine

    SMART on-board multi-sensor obstacle detection system for improvement of rail transport safety

    Ristić-Durrant, Danijela / Haseeb, Muhammad Abdul / Banić, Milan et al. | SAGE Publications | 2022
    Schlagwörter: machine learning

    Single-lever control method design based on power management system and deep reinforcement learning for turboprop engines

    Ji, Run-Min / Huang, Xiang-Hua / Zhang, Xing-Long et al. | SAGE Publications | 2024
    Schlagwörter: deep reinforcement learning

    Self-learning control for coordinated collision avoidance of automated vehicles

    Wang, Yan / Yin, Guodong / Li, Yanjun et al. | SAGE Publications | 2021
    Schlagwörter: self-learning control

    Self-learning approach to automatic transmission shift control in a commercial construction vehicle during the inertia phase

    Hahn, J-O / Hur, J-W / Choi, G-W et al. | SAGE Publications | 2002
    Schlagwörter: self-learning control

    Risk prediction and factor analysis of rider’s injury severity in passenger car and E-bike accidents based on interpretable machine learning

    Wei, Tianzheng / Zhu, Tong / Liu, Haoxue | SAGE Publications | 2024
    Schlagwörter: machine learning

    Research on fault prediction of marine diesel engine based on attention-LSTM

    Liu, Yi / Gan, Huibing / Cong, Yujin et al. | SAGE Publications | 2023
    Schlagwörter: deep learning

    Research on automated parking perception based on a multi-sensor method

    Yang, Yifan / Huang, Jiang / Sun, Kai et al. | SAGE Publications | 2023
    Schlagwörter: deep learning

    Recognition of abnormal car door noise based on multi-scale feature fusion

    Wang, Xiaolan / Song, Yongchao / Su, Lili et al. | SAGE Publications | 2023
    Schlagwörter: transfer learning

    Real-time prediction for the surge of turboshaft engine using multi-branch feature fusion neural network

    Zhang, Xing-Long / Zhang, Tian-Hong / Li, Ling-Wei et al. | SAGE Publications | 2023
    Schlagwörter: deep learning

    Q-learning–based practical disturbance compensation control for hypersonic flight vehicle

    Li, Xu / Zhang, Ziyi / Ji, Yuehui et al. | SAGE Publications | 2023
    Schlagwörter: Q-learning

    Procedure for combining field measurements and machine learning to quantify impact of different track parameters on ride quality of railway tracks

    Roghani, Alireza / Pall, Raman / Toma, Elton | SAGE Publications | 2022
    Schlagwörter: machine learning

    Pressure control based on reinforcement learning strategy of the pneumatic relays for an electric-pneumatic braking system

    Shan, Tianshi / Li, Liang / Wu, Xiuheng et al. | SAGE Publications | 2023
    Schlagwörter: Q-learning

    Prediction of neck injury using multiple linear regression and bumper damage: Case study for low-speed rear-end collisions

    Lee, Jae-Won / Kim, Ji-Hae / Kim, Tae-Won | SAGE Publications | 2022
    Schlagwörter: supervised machine learning

    Preceding vehicle following algorithm with human driving characteristics

    Pan, Feng / Bao, Hong | SAGE Publications | 2021
    Schlagwörter: reinforcement learning , Inverse reinforcement learning

    Performance evaluation and prediction of rudders based on machine learning technology

    Chang, Binglu / Yang, Ruifeng / Guo, Chenxia et al. | SAGE Publications | 2019
    Schlagwörter: machine learning

    Optimal reinforcement learning and probabilistic-risk-based path planning and following of autonomous vehicles with obstacle avoidance

    Freier Zugriff
    Taghavifar, Hamid / Taghavifar, Leyla / Hu, Chuan et al. | SAGE Publications | 2024
    Schlagwörter: reinforcement learning

    On the use of Fourier Features-Physics Informed Neural Networks (FF-PINN) for forward and inverse fluid mechanics problems

    Sallam, Omar / Fürth, Mirjam | SAGE Publications | 2023
    Schlagwörter: deep learning

    On monitoring fretting fatigue damage in solid railway axles by acoustic emission with unsupervised machine learning and comparison to non-destructive testing techniques

    Carboni, Michele / Zamorano, Marta | SAGE Publications | 2024
    Schlagwörter: unsupervised machine learning

    Online maximization of extracted energy in sea wave energy converters using temporal-difference learning

    Khaleghi, Sadegh / Moghaddam, Reihaneh Kardehi / Sistani, Mohammadbagher Naghibi | SAGE Publications | 2023
    Schlagwörter: Temporal difference learning

    Online learning fuzzy vibration control of smart truss structure

    Xu, Rui / Li, Dongxu / Jiang, Jianping | SAGE Publications | 2017
    Schlagwörter: online learning

    Obstacle avoidance trajectory planning strategy considering network communication constraints

    Luan, Zhongkai / Zheng, Shuangquan / Zhou, Guan et al. | SAGE Publications | 2024
    Schlagwörter: deep Q-learning

    Object ground lines regression and mapping from fisheye images to around view image for the AVP

    Li, Wei / Cao, Libo / Zhang, Zhengyang et al. | SAGE Publications | 2023
    Schlagwörter: deep learning

    Non-intrusive reduced-order modeling for fluid problems: A brief review

    Yu, Jian / Yan, Chao / Guo, Mengwu | SAGE Publications | 2019
    Schlagwörter: machine learning

    Neural networks for modelling the energy consumption of metro trains

    Martínez Fernández, Pablo / Salvador Zuriaga, Pablo / Villalba Sanchís, Ignacio et al. | SAGE Publications | 2020
    Schlagwörter: machine learning

    Net winch design in trawlers, influence of vessel size and fishing ground

    Carral Couce, Luis / Couce, Juan Carral / Tarrío-Saavedra, Javier et al. | SAGE Publications | 2019
    Schlagwörter: statistical learning

    Navigational strategy for underwater mobile robot based on adaptive neuro-fuzzy inference system model embedded with shuffled frog leaping algorithm–based hybrid learning approach

    Parhi, DR / Kundu, S | SAGE Publications | 2017
    Schlagwörter: hybrid learning

    Navigational control of underwater mobile robot using dynamic differential evolution approach

    Parhi, Dayal R / Kundu, S | SAGE Publications | 2017
    Schlagwörter: self-learning

    Multi-objective aerodynamic optimization using active multi-output Gaussian process and mesh deformation method

    Yang, Fan / Chen, Zhaolin | SAGE Publications | 2022
    Schlagwörter: active learning algorithm

    Multi-label learning using label-specific features for simultaneous fault diagnosis of aircraft engine

    Li, Bing / Zhao, Yong-Ping | SAGE Publications | 2022
    Schlagwörter: multi-label learning

    Moment-independent sensitivity analysis of a fold mechanism based on an active learning kriging method

    Hu, Yebao / Liu, Yongshou / Guo, Qing et al. | SAGE Publications | 2024
    Schlagwörter: active learning kriging

    Modelling and iterative learning control of internal pressure for high-speed trains under excitation of varying-amplitude tunnel pressure waves

    He, Zhiying / Chen, Chunjun / Wang, Dongwei et al. | SAGE Publications | 2022
    Schlagwörter: iterative learning control (ILC)

    Modeling human-like longitudinal driver model for intelligent vehicles based on reinforcement learning

    Xie, Ju / Xu, Xing / Wang, Feng et al. | SAGE Publications | 2021
    Schlagwörter: reinforcement learning

    Modeling and assessment of accidental subsea gas leakage using a coupled computational fluid dynamics and machine learning approaches

    Ellethy, Ahmed M / Shehata, Ahmed S / Shehata, Ali I et al. | SAGE Publications | 2023
    Schlagwörter: machine learning

    Misfire detection of diesel engine based on convolutional neural networks

    Zhang, Pan / Gao, Wenzhi / Li, Yong et al. | SAGE Publications | 2021
    Schlagwörter: feature learning

    Minimization of total manufacturing cost of a knuckle joint assembly by means of optimal tolerance allocation using various optimization algorithms

    Kumar Dharmaraj, Vignesh / Durairaj, Ravindran / Lenin, Nagarajan et al. | SAGE Publications | 2023
    Schlagwörter: teaching-learning based optimization algorithm

    Mean line aerodynamic design of an axial compressor using a novel design approach based on reinforcement learning

    Liu, Yi / Chen, Jiang / Cheng, Jinxin | SAGE Publications | 2022
    Schlagwörter: reinforcement learning

    Maneuvering penetration strategies of ballistic missiles based on deep reinforcement learning

    Qiu, Xiaoqi / Gao, Changsheng / Jing, Wuxing | SAGE Publications | 2022
    Schlagwörter: deep reinforcement learning

    Machine learning–based reduced-order modeling of hydrodynamic forces using pressure mode decomposition

    Ahmed, Hassan F / Farooq, Hamayun / Akhtar, Imran et al. | SAGE Publications | 2021
    Schlagwörter: Machine learning

    Machine learning based prediction of rail transit signal failure: A case study in the United States

    Dai, Junyan / Liu, Xiang | SAGE Publications | 2023
    Schlagwörter: machine learning

    Machine learning approaches for improving condition-based maintenance of naval propulsion plants

    Coraddu, Andrea / Oneto, Luca / Ghio, Aessandro et al. | SAGE Publications | 2016
    Schlagwörter: machine learning

    Iterative learning NARMA-L2 control for turbofan engine with dynamic uncertainty in flight envelope

    Lu, Feng / Yan, Zhaohong / Tang, Jie et al. | SAGE Publications | 2022
    Schlagwörter: iterative learning

    Iterative learning control of air pressure variation inside a high-speed train under the excitation of the tunnel pressure wave with a fixed-morphologic form

    He, Zhiying / Chen, Chunjun / Wang, Dongwei et al. | SAGE Publications | 2022
    Schlagwörter: Iterative learning control (ILC)

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