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1–50 von 271 Ergebnissen
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    A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem

    Oh, Chang Kook / Beck, James L. | Springer Verlag | 2018
    Schlagwörter: Bayesian learning method

      A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem

      Oh, Chang Kook / Beck, James L. | Online Contents | 2018
      Schlagwörter: Bayesian learning method

    A behavioral analysis of freight mode choice decisions

    Samimi, Amir / Kawamura, Kazuya / Mohammadian, Abolfazl | Taylor & Francis Verlag | 2011
    Schlagwörter: machine learning

    Acceptability modeling of autonomous mobility on-demand services with on-board ride sharing using interpretable Machine Learning

    Freier Zugriff
    Panagiotis Fafoutellis / Eleni G. Mantouka / Eleni I. Vlahogianni et al. | DOAJ | 2022
    Schlagwörter: Interpretable Machine Learning

    Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens

    Fafoutellis, Panagiotis / Mantouka, Eleni G. / Vlahogianni, Eleni I. | Elsevier | 2022
    Schlagwörter: Interpretable machine learning

    A Comparative Study of Machine Learning Classification for Color-based Safety Vest Detection on Construction-Site Images

    Seong, Hyeonwoo / Son, Hyojoo / Kim, Changwan | Springer Verlag | 2018
    Schlagwörter: machine learning

      A Comparative Study of Machine Learning Classification for Color-based Safety Vest Detection on Construction-Site Images

      Seong, Hyeonwoo / Son, Hyojoo / Kim, Changwan | Online Contents | 2018
      Schlagwörter: machine learning

    A Damage Localization Approach for Rahmen Bridge Based on Convolutional Neural Network

    Lee, Kanghyeok / Byun, Namju / Shin, Do Hyoung | Springer Verlag | 2020
    Schlagwörter: Deep learning

    Adaptive Optimal Control for Reference Tracking Independent of Exo-System Dynamics

    Freier Zugriff
    Köpf, Florian / Westermann, Johannes / Flad, Michael et al. | BASE | 2020
    Schlagwörter: Reinforcement Learning

    A Data Driven Approach for Estimating Traffic Demand of Different Transportation Modes

    Freier Zugriff
    Dabbas, Hekmat | BASE | 2023
    Schlagwörter: Multimodal origin-destination matrix -- Information minimization mode -- Floating data -- GPS data -- Floating car data -- Floating smartphone data -- Inferring transportation modes -- Unsupervised ma-chine learning

    A data-driven decision support system for service completion prediction in last mile logistics

    Pegado-Bardayo, Ana / Lorenzo-Espejo, Antonio / Muñuzuri, Jesús et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    A data-driven travel mode share estimation framework based on mobile device location data

    Yang, Mofeng / Pan, Yixuan / Darzi, Aref et al. | Online Contents | 2021
    Schlagwörter: Machine learning

    A deep learning traffic flow prediction framework based on multi-channel graph convolution

    Zhao, Yuanmeng / Cao, Jie / Zhang, Hong et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    A Framework for Improving Object Recognition of Structural Components in Construction Site Photos Using Deep Learning Approaches

    Park, Sang Mi / Lee, Jae Hee / Kang, Leen Seok | Springer Verlag | 2023
    Schlagwörter: Deep learning

    A Hybrid Feature Selection-multidimensional LSTM Framework for Deformation Prediction of Super High Arch Dams

    Cao, Enhua / Bao, Tengfei / Li, Hui et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    A joint machine learning and optimization approach for incremental expansion of electric vehicle charging infrastructure

    Golsefidi, Atefeh Hemmati / Hüttel, Frederik Boe / Peled, Inon et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    A kilometer or a mile? Does buffer size matter when it comes to car ownership?

    Laviolette, Jérôme / Morency, Catherine / Waygood, E.O.D. | Elsevier | 2022
    Schlagwörter: Machine learning

    A machine learning approach to analyzing spatiotemporal impacts of mobility restriction policies on infection rates

    Young Song, Annie / Lee, Seunghyeon / Wong, S.C. | Elsevier | 2023
    Schlagwörter: Machine learning approach

    A Machine Learning Based Method for Real-Time Queue Length Estimation Using License Plate Recognition and GPS Trajectory Data

    Liu, Dongbo / An, Chengchuan / Yasir, Muhammad et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    A Machine Learning Tool for Pavement Design and Analysis

    Yang, Guangwei / Mahboub, Kamyar C. / Renfro, Ryan L. et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    A methodology to develop a geospatial transportation typology

    Popovich, Natalie / Spurlock, C. Anna / Needell, Zachary et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    A micro-simulation model system of departure time using a perception updating model under travel time uncertainty

    Ettema, Dick / Tamminga, Guus / Timmermans, Harry et al. | Elsevier | 2004
    Schlagwörter: Learning and adaptation

    An adaptive agent-based approach for instant delivery order dispatching: Incorporating task buffering and dynamic batching strategies

    Freier Zugriff
    Miaojia Lu / Xinyu Yan / Shadi Sharif Azadeh et al. | DOAJ | 2024
    Schlagwörter: Deep reinforcement 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

    Analyzing injury severity of motorcycle at-fault crashes using machine learning techniques, decision tree and logistic regression models

    Freier Zugriff
    Mahdi Rezapour / Amirarsalan Mehrara Molan / Khaled Ksaibati | DOAJ | 2020
    Schlagwörter: Machine learning techniques

    Analyzing multi-factor effects on travel well-being, including non-linear relationship and interaction

    Yu, Hongmei / Ye, Xiaofei / Liu, Lining et al. | Taylor & Francis Verlag | 2024
    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 travel behavior in Hanoi using Support Vector Machine

    Truong, Thi My Thanh / Ly, Hai-Bang / Lee, Dongwoo et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Machine 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 interpretable machine learning framework to understand bikeshare demand before and during the COVID-19 pandemic in New York City

    Uddin, Majbah / Hwang, Ho-Ling / Hasnine, Md Sami | Taylor & Francis Verlag | 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

    Application of Convolution Neural Network for Adaptive Traffic Controller System

    Ahmed, Muaid Abdulkareem Alnazir / Khoo, Hooi Ling / Ng, Oon-Ee | Springer Verlag | 2022
    Schlagwörter: Deep reinforcement learning

    Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections

    Freier Zugriff
    Mohammed Moinuddin / Logan Proffer / Matthew Vechione et al. | DOAJ | 2024
    Schlagwörter: Applied Machine Learning

    Application of Teaching-Learning-Based-Optimization algorithm for the discrete optimization of truss structures

    Dede, Tayfun | Springer Verlag | 2014
    Schlagwörter: teaching-learning-based optimization

      Application of Teaching-Learning-Based-Optimization algorithm for the discrete optimization of truss structures

      Dede, Tayfun | Online Contents | 2014
      Schlagwörter: teaching-learning-based optimization

    Applications of machine learning methods in traffic crash severity modelling: current status and future directions

    Wen, Xiao / Xie, Yuanchang / Jiang, Liming et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Applying a Bayesian network for modelling the shift from motorcycle to public transport use in Vietnam

    Nguyen, Son-Tung / Moeinaddini, Mehdi / Saadi, Ismaïl et al. | Elsevier | 2024
    Schlagwörter: Network-learning

    A probability-based indicator for measuring the degree of multimodality in transportation investments

    Lee, Changju / Miller, John S. | Elsevier | 2017
    Schlagwörter: Unsupervised learning

    A reinforcement learning model for personalized driving policies identification

    Freier Zugriff
    Dimitris M. Vlachogiannis / Eleni I. Vlahogianni / John Golias | DOAJ | 2020
    Schlagwörter: Reinforcement learning , Q-learning , Machine learning

    Artificial Neural Network–Based Traffic State Estimation Using Erroneous Automated Sensor Data

    Fulari, Shrikant | Online Contents | 2017
    Schlagwörter: Learning theory

    A self-learning system for local ramp metering with queue management

    Lu, Chao / Huang, Jie | Taylor & Francis Verlag | 2017
    Schlagwörter: reinforcement learning

      A self-learning system for local ramp metering with queue management

      Lu, Chao | Online Contents | 2017
      Schlagwörter: reinforcement learning , Learning

    Assessing the role of geographic context in transportation mode detection from GPS data

    Roy, Avipsa / Fuller, Daniel / Nelson, Trisalyn et al. | Elsevier | 2022
    Schlagwörter: Supervised learning

    A state-of-the-art survey of deep learning models for automated pavement crack segmentation

    Freier Zugriff
    Hongren Gong / Liming Liu / Haimei Liang et al. | DOAJ | 2024
    Schlagwörter: Deep learning

    A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

    Freier Zugriff
    Rawson, Andrew / Brito, Mario | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    A time-use activity-pattern recognition model for activity-based travel demand modeling

    Hafezi, Mohammad Hesam / Liu, Lei / Millward, Hugh | Online Contents | 2017
    Schlagwörter: Machine learning

      A time-use activity-pattern recognition model for activity-based travel demand modeling

      Hafezi, Mohammad Hesam / Liu, Lei / Millward, Hugh | Online Contents | 2017
      Schlagwörter: Machine learning

    Automatic topics extraction from crowdsourced cyclists near-miss and collision reports using text mining and Artificial Neural Networks

    Freier Zugriff
    Keneth Morgan Kwayu / Valerian Kwigizile / Kevin Lee et al. | DOAJ | 2022
    Schlagwörter: Machine learning

    Autoras inglesas publicadas durante el Franquismo. Jane Austen, Mary Shelley, Charlotte Brontë, George Eliot y Anne Brontë

    Freier Zugriff
    Caterina Riba / Carme Sanmartí | DOAJ | 2024
    Schlagwörter: History of scholarship and learning. The humanities

    Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning

    Zhou, Xiaolu / Wang, Mingshu / Li, Dongying | Elsevier | 2019
    Schlagwörter: Machine learning

    Bridges across borders: A clustering approach to support EU regional policy

    Christodoulou, Aris / Christidis, Panayotis | Elsevier | 2020
    Schlagwörter: Machine learning

    Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach

    Ashik, F.R. / Sreezon, A.I.Z. / Rahman, M.H. et al. | Elsevier | 2024
    Schlagwörter: Machine learning