Synonyme wurden verwendet für: learning
Suche ohne Synonyme: keywords:(learning)

121–140 von 1,032 Ergebnissen
|

    A multi-layer ML model evolutionary paradigm for high-accuracy individual aircraft SHM

    Chen, Jian / Meng, Yixing / Xu, Yusen | Elsevier | 2023
    Schlagwörter: Evolutionary machine learning

    A multi-stage fusion network for transportation mode identification with varied scale representation of GPS trajectories

    Ma, Yanli / Guan, Xuefeng / Cao, Jun et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    A multi-view attention-based spatial–temporal network for airport arrival flow prediction

    Yan, Zhen / Yang, Hongyu / Wu, Yuankai et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand

    Ying, Cheng-shuo / Chow, Andy H.F. / Chin, Kwai-Sang | Elsevier | 2020
    Schlagwörter: Deep reinforcement learning

    An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction

    Lee, Seunghyeon / Xie, Kun / Ngoduy, Dong et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Analysis and estimation of energy consumption of electric buses using real-world data

    Zhang, Zhaosheng / Ye, Baolin / Wang, Shuai et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Analysis of links between dockless bikeshare and metro trips in Beijing

    Zhan, Zilin / Guo, Yuanyuan / Noland, Robert B. et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning

    Ziakopoulos, Apostolos / Kontaxi, Armira / Yannis, George | Elsevier | 2022
    Schlagwörter: Explainable machine learning

    Analysis of operational and mechanical anomalies in scheduled commercial flights using a logarithmic multivariate Gaussian model

    Li, Guoyi / Lee, Hyunseong / Rai, Ashwin et al. | Elsevier | 2019
    Schlagwörter: Unsupervised learning

    Analyzing angle crashes at unsignalized intersections using machine learning techniques

    Abdel-Aty, Mohamed / Haleem, Kirolos | Elsevier | 2010
    Schlagwörter: Machine learning

    Analyzing changes in travel patterns due to Covid-19 using Twitter data in India

    Shende, Swapnil / Bhaduri, Eeshan / Goswami, Arkopal Kishore | Elsevier | 2023
    Schlagwörter: Machine learning

    Analyzing network-wide patterns of rail transit delays using Bayesian network learning

    Ulak, Mehmet Baran / Yazici, Anil / Zhang, Yun | Elsevier | 2020
    Schlagwörter: Bayesian network learning

    Analyzing passenger train arrival delays with support vector regression

    Marković, Nikola / Milinković, Sanjin / Tikhonov, Konstantin S. et al. | Elsevier | 2015
    Schlagwörter: Machine learning

    Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning

    Zhang, Xiaojian / Zhou, Zhengze / Xu, Yiming et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Analyzing the injury severity in single-bicycle crashes: An application of the ordered forest with some practical guidance

    Zhang, Yingheng / Li, Haojie / Ren, Gang | Elsevier | 2023
    Schlagwörter: Machine learning

    An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

    Ma, Zhengjing / Mei, Gang / Cuomo, Salvatore | Elsevier | 2021
    Schlagwörter: Deep learning

    An anomaly detection methodology of load-carrying structure of satellite based on high-precision predictive model

    Gu, Naijian / Liu, Kun / Wu, Wenhua et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction

    Nguyen, Son / Fu, Xiuju / Ogawa, Daichi et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    An approximate dynamic programming approach for the empty container allocation problem

    Lam, Shao-Wei / Lee, Loo-Hay / Tang, Loon-Ching | Elsevier | 2007
    Schlagwörter: Temporal difference learning

    An effective spatial-temporal attention based neural network for traffic flow prediction

    Do, Loan N.N. / Vu, Hai L. / Vo, Bao Q. et al. | Elsevier | 2019
    Schlagwörter: Deep learning