Synonyme wurden verwendet für: learning
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1–20 von 33 Ergebnissen
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    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

    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

    Traffic Speed Prediction for Urban Arterial Roads Using Deep Neural Networks

    Adu-Gyamfi, Yaw / Zhao, Mo | ASCE | 2018
    Schlagwörter: Deep learning

    Urban Road Traffic State Level Classification Based on Dynamic Ensemble Learning Algorithm

    Liu, Qingchao / Cai, Yingfeng / Jiang, Haobin et al. | ASCE | 2018
    Schlagwörter: dynamic ensemble learning

    Real-Time Crash Likelihood Prediction Using Temporal Attention–Based Deep Learning and Trajectory Fusion

    Li, Pei / Abdel-Aty, Mohamed | ASCE | 2022
    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)

    Suppression of Roll Oscillations of a Canard-Configuration Model Using Fluid Effector and Reinforcement Learning

    Dong, Yizhang / Shi, Zhiwei / Chen, Kun et al. | ASCE | 2023
    Schlagwörter: Reinforcement 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

    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

    Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning

    Chen, Tao / Fang, Jie / Xu, Mengyun et al. | ASCE | 2022
    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

    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

    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

    Human-Like Longitudinal Velocity Control Based on Continuous Reinforcement Learning

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

    Prediction of Traffic Incident Duration Using Clustering-Based Ensemble Learning Method

    Zhao, Hui / Gunardi, Willy / Liu, Yang et al. | ASCE | 2022
    Schlagwörter: Ensemble learning

    What Lies behind Idle Connection Time in Fast-Charging Public Stations: Evidence from Changshu, China

    Zhou, Xizhen / Ding, Xueqi / Ji, Yanjie | ASCE | 2024
    Schlagwörter: Machine learning

    Real-Time Optimization of Urban Rail Transit Train Scheduling via Advantage Actor–Critic Deep Reinforcement Learning

    Wen, Longhui / Zhou, Wei / Liu, Jiajun et al. | ASCE | 2024
    Schlagwörter: Deep reinforcement learning

    Traffic Congestion Prediction Based on Long-Short Term Memory Neural Network Models

    Chen, Min / Yu, Guizhen / Chen, Peng et al. | ASCE | 2018
    Schlagwörter: deep learning theory

    Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis

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