Synonyme wurden verwendet für: Maschinelles Lernen
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201–250 von 432 Ergebnissen
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    Macroscopic traffic flow modeling with physics regularized Gaussian process: A new insight into machine learning applications in transportation

    Yuan, Yun / Zhang, Zhao / Yang, Xianfeng Terry et al. | Elsevier | 2021
    Schlagwörter: Physics regularized machine learning

    Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments

    Jin, Tanhua / Cheng, Long / Liu, Zhicheng et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Classification of automobile and transit trips from Smartphone data: Enhancing accuracy using spatial statistics and GIS

    Nour, Akram / Hellinga, Bruce / Casello, Jeffrey | Elsevier | 2015
    Schlagwörter: 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

    Transferability improvement in short-term traffic prediction using stacked LSTM network

    Li, Junyi / Guo, Fangce / Sivakumar, Aruna et al. | Elsevier | 2021
    Schlagwörter: Machine learning methods

    Revisiting residential self-selection and travel behavior connection using a double machine learning

    Ding, Chuan / Wang, Yufan / Cao, Xinyu (Jason) et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    How does “over-hype” lead to public misconceptions about autonomous vehicles? A new insight applying causal inference

    Cai, Yunhao / Jing, Peng / Wang, Baihui et al. | Elsevier | 2023
    Schlagwörter: Double machine learning

    Examining nonlinearity in population inflow estimation using big data: An empirical comparison of explainable machine learning models

    Hu, Songhua / Xiong, Chenfeng / Chen, Peng et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    An online updating method for time-varying preference learning

    Zhu, Xi / Feng, Jingshuo / Huang, Shuai et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility

    Gao, Kun / Yang, Ying / Gil, Jorge et al. | Elsevier | 2023
    Schlagwörter: Interpretable machine 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

    Forecasting passenger flows and headway at train level for a public transport line: Focus on atypical situations

    Bapaume, Thomas / Côme, Etienne / Ameli, Mostafa et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Estimation of grassland height using optical and SAR remote sensing data

    Zhang, Lei / Ren, Hongrui | Elsevier | 2023
    Schlagwörter: Machine learning method

    Safety assurance for automated driving systems that can adapt using machine learning: A qualitative interview study

    Ballingall, Stuart / Sarvi, Majid / Sweatman, Peter | Elsevier | 2022
    Schlagwörter: Machine learning

    Identifying the rail operating features associated to intermodal freight rail operation delays

    Pineda-Jaramillo, Juan / Viti, Francesco | Elsevier | 2022
    Schlagwörter: Machine learning

    Intelligent selection of NEO deflection strategies under uncertainty

    Wang, Yirui / Vasile, Massimiliano | Elsevier | 2022
    Schlagwörter: Machine learning

    Exploring the nonlinear effects of built environment characteristics on customized bus service

    Wang, Jiangbo / Liu, Kai / Wang, De | Elsevier | 2022
    Schlagwörter: Machine learning

    Trajectory classification in circular restricted three-body problem using support vector machine

    Li, Weipeng / Huang, Hai / Peng, Fujun | Elsevier | 2015
    Schlagwörter: Machine learning

    Prediction of crop yield using satellite vegetation indices combined with machine learning approaches

    Jhajharia, Kavita / Mathur, Pratistha | Elsevier | 2023
    Schlagwörter: Machine Learning

    Discovering latent topics and trends in autonomous vehicle-related research: A structural topic modelling approach

    Tamakloe, Reuben / Park, Dongjoo | Elsevier | 2023
    Schlagwörter: Machine learning

    Investigating the risk factors of motorcycle crash injury severity in Pakistan: Insights and policy recommendations

    Mansoor, Umer / Jamal, Arshad / Su, Junbiao et al. | Elsevier | 2023
    Schlagwörter: Interpretable machine learning

    Integrating stochastic programs and decision trees in capacitated barge planning with uncertain container arrivals

    Gumuskaya, Volkan / van Jaarsveld, Willem / Dijkman, Remco et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Machine learning-based approach for ballistic coefficient estimation of resident space objects in LEO

    Cimmino, N. / Opromolla, R. / Fasano, G. | Elsevier | 2023
    Schlagwörter: Machine learning

    Forecasting transportation demand for the U.S. market

    Plakandaras, Vasilios / Papadimitriou, Theophilos / Gogas, Periklis | Elsevier | 2019
    Schlagwörter: Machine learning

    Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms

    Yousefzadeh Barri, Elnaz / Farber, Steven / Jahanshahi, Hadi et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Railroad accident analysis using extreme gradient boosting

    Bridgelall, Raj / Tolliver, Denver D. | Elsevier | 2021
    Schlagwörter: Machine learning

    Exploring nonlinear built environment effects on driving with a mixed-methods approach

    Tao, Tao / Næss, Petter | Elsevier | 2022
    Schlagwörter: Machine learning

    Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review

    Ali, Yasir / Hussain, Fizza / Haque, Md Mazharul | Elsevier | 2023
    Schlagwörter: Machine learning

    A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents

    Liao, Xishun / Wu, Guoyuan / Yang, Lan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Integrating machine learning into path analysis for quantifying behavioral pathways in bicycle-motor vehicle crashes

    Lu, Weike / Liu, Jun / Fu, Xing et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development

    Wen, Xiao / Xie, Yuanchang / Jiang, Liming et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Applying machine learning, text mining, and spatial analysis techniques to develop a highway-railroad grade crossing consolidation model

    Soleimani, Samira / Leitner, Michael / Codjoe, Julius | Elsevier | 2021
    Schlagwörter: Machine learning

    A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections

    Yang, Zhisen / Yu, Qing / Yang, Zaili et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Forecasting container freight rates using the Prophet forecasting method

    Saeed, Naima / Nguyen, Su / Cullinane, Kevin et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Automated data-driven prediction on aircraft Estimated Time of Arrival

    Wang, Zhengyi / Liang, Man / Delahaye, Daniel | Elsevier | 2020
    Schlagwörter: Machine learning

    A deep neural network inverse solution to recover pre-crash impact data of car collisions

    Chen, Qijun / Xie, Yuxi / Ao, Yu et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Machine learning-enhanced aircraft landing scheduling under uncertainties

    Pang, Yutian / Zhao, Peng / Hu, Jueming et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning

    Lv, Huitao / Li, Haojie / Chen, Yanlu et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    A time series clustering based approach for construction of real-world drive cycles

    Ganesh Sundarkumar, G. / B. V., Subramanya Bharadwaj / Munigety, Caleb Ronald et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Deriving a joint risk estimate from dynamic data collected at motorcycle rides

    Hula, Andreas / Fürnsinn, Florian / Schwieger, Klemens et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information

    Halbersberg, Dan / Lerner, Boaz | Elsevier | 2019
    Schlagwörter: Machine learning

    Computer vision and driver distraction: Developing a behaviour-flagging protocol for naturalistic driving data

    Kuo, Jonny / Koppel, Sjaan / Charlton, Judith L. et al. | Elsevier | 2014
    Schlagwörter: Machine learning

    Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles

    Lian, Yanqi / Zhang, Guoqing / Lee, Jaeyoung et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Terramechanics models augmented by machine learning representations

    Karpman, Eric / Kövecses, Jozsef / Teichmann, Marek | Elsevier | 2023
    Schlagwörter: Machine learning

    A data-centric weak supervised learning for highway traffic incident detection

    Sun, Yixuan / Mallick, Tanwi / Balaprakash, Prasanna et al. | Elsevier | 2022
    Schlagwörter: Data-centric machine learning