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1–20 von 33 Ergebnissen
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    Adaptive Prescribed-Time Tracking Control of Spacecraft with Deferred Full-State Constraints

    Li, Jun / Huang, Ziyang / Huang, Bing | ASCE | 2023
    Schlagwörter: Minimum-learning-parameter (MLP)

    A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction

    Tan, Huachun / Zhong, Zhiyu / Wu, Yuankai et al. | ASCE | 2018
    Schlagwörter: Deep learning

    A New Framework for Regional Traffic Volumes Estimation with Large-Scale Connected Vehicle Data and Deep Learning Method

    Khadka, Swastik / Wang, Peirong “Slade” / Li, Pengfei “Taylor” et al. | ASCE | 2023
    Schlagwörter: Deep learning

    An Integrated Tracking Control Approach Based on Reinforcement Learning for a Continuum Robot in Space Capture Missions

    Jiang, Da / Cai, Zhiqin / Liu, Zhongzhen et al. | ASCE | 2022
    Schlagwörter: Reinforcement learning

    Attitude Control of a Moving Mass–Actuated UAV Based on Deep Reinforcement Learning

    Qiu, Xiaoqi / Gao, Changsheng / Wang, Kefan et al. | ASCE | 2022
    Schlagwörter: Deep reinforcement learning

    A Turboshaft Aeroengine Fault Detection Method Based on One-Class Support Vector Machine and Transfer Learning

    Zhu, Ye / Du, Chenglie / Liu, Zhiqiang et al. | ASCE | 2022
    Schlagwörter: Transfer learning (TL)

    Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis

    Balogun, Ibrahim / Attoh-Okine, Nii | ASCE | 2023
    Schlagwörter: Deep learning

    Data-Driven Method for Real-Time Reconstruction of the Structural Displacement Field

    Yan, Jun / Du, Hongze / Bu, Yufeng et al. | ASCE | 2024
    Schlagwörter: Deep learning

    Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification

    Aboah, Armstrong / Adu-Gyamfi, Yaw / Gursoy, Senem Velipasalar et al. | ASCE | 2023
    Schlagwörter: Machine learning

    Expressway Traffic Incident Detection Using a Deep Learning Approach Based on Spatiotemporal Features with Multilevel Fusion

    Qu, Qikai / Shen, Yongjun / Yang, Miaomiao et al. | ASCE | 2024
    Schlagwörter: Deep learning

    Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem

    Assi, Khaled / Ratrout, Nedal / Nemer, Ibrahim et al. | ASCE | 2023
    Schlagwörter: Machine learning , Deep learning

    Hierarchical Driving Strategy for Connected and Autonomous Vehicles Making a Protected Left Turn at Signalized Intersections

    Du, Danfeng / Shen, Mingyu / Guo, Xiurong et al. | ASCE | 2023
    Schlagwörter: Deep reinforcement learning (DRL)

    Human-Like Longitudinal Velocity Control Based on Continuous Reinforcement Learning

    Chen, Xin / Lu, Chao / Gong, Jianwei et al. | ASCE | 2018
    Schlagwörter: reinforcement learning

    Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps

    Liu, Yicong / Miller, Eric J. / Habib, Khandker Nurul | ASCE | 2023
    Schlagwörter: Machine learning model

    Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona

    Cottam, Adrian / Li, Xiaofeng / Ma, Xiaobo et al. | ASCE | 2024
    Schlagwörter: Machine learning

    Minimization of Cable-Net Reflector Shape Error by Target-Approaching and Procedural-Learning Method

    Shi, Zhiyang / Li, Tuanjie / Tang, Yaqiong et al. | ASCE | 2022
    Schlagwörter: Procedural learning

    Multiagent Soft Actor–Critic for Traffic Light Timing

    Wu, Lan / Wu, Yuanming / Qiao, Cong et al. | ASCE | 2023
    Schlagwörter: Deep reinforcement learning

    Network-Scale Passenger Flow Forecasting Methods in URT Based on Similarity Measurement

    Wang, Bao / Luo, Xia / Wang, Zongwei et al. | ASCE | 2023
    Schlagwörter: Deep learning

    Optimization Model of Life Cycle Repair Decisions for Track Network

    Wenfei, Bai / Yun, Wei / Rengkui, Liu | ASCE | 2022
    Schlagwörter: Adaptive learning (AL)

    Pavement Surface Condition Index Prediction Based on Random Forest Algorithm

    Yu, Ting / Pei, Li-Ii / Li, Wei et al. | ASCE | 2021
    Schlagwörter: Machine learning