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151–200 von 234 Ergebnissen
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    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

    Multi‐agent Simulation with Reinforcement Learning for Evaluating a Combination of City Logistics Policy Measures

    Taniguchi, Eiichi / Thompson, Russell G. | Wiley | 2018
    Schlagwörter: reinforcement 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

    Parking occupancy prediction under COVID-19 anti-pandemic policies: A model based on a policy-aware temporal convolutional network

    Niu, Zhipeng / Hu, Xiaowei / Fatmi, Mahmudur et al. | Elsevier | 2023
    Schlagwörter: Deep 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

    Which road do I take? A learning-based model of route-choice behavior with real-time information

    Ben-Elia, Eran / Shiftan, Yoram | Elsevier | 2010
    Schlagwörter: Reinforced learning

    “If only I had taken the other road...”: Regret, risk and reinforced learning in informed route-choice

    Ben-Elia, Eran / Ishaq, Robert / Shiftan, Yoram | Online Contents | 2012
    Schlagwörter: Reinforced learning

      “If only I had taken the other road...”: Regret, risk and reinforced learning in informed route-choice

      Ben-Elia, Eran / Ishaq, Robert / Shiftan, Yoram | Online Contents | 2012
      Schlagwörter: Reinforced 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

    Hybrid approaches for container traffic forecasting in the context of anomalous events: The case of the Yangtze River Delta region in the COVID-19 pandemic

    Huang, Dong / Grifoll, Manel / Sanchez-Espigares, Jose A. et al. | Elsevier | 2022
    Schlagwörter: Machine learning model

    Interpretable data-driven demand modelling for on-demand transit services

    Alsaleh, Nael / Farooq, Bilal | Elsevier | 2021
    Schlagwörter: Machine 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

    Research on the Design of Adaptive Control Systems, Volume 1 Final Report

    R. M. Dressler / R. E. Larson / L. Meier et al. | NTIS | 1966
    Schlagwörter: Learning system

    Optimum Reduction of Flexural Effect of Axially Symmetric Cylindrical Walls with Post-tensioning Forces

    Bekdaş, Gebrail / Nigdeli, Sinan Melih | Springer Verlag | 2017
    Schlagwörter: teaching-learning based optimization

      Optimum Reduction of Flexural Effect of Axially Symmetric Cylindrical Walls with Post-tensioning Forces

      Bekdaş, Gebrail / Nigdeli, Sinan Melih | Online Contents | 2018
      Schlagwörter: teaching-learning based optimization

    Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data

    Morris, Clint / Yang, Jidong J. / Chorzepa, Mi Geum et al. | ASCE | 2022
    Schlagwörter: Self-supervised deep learning

    Built environment interventions for emission mitigation: A machine learning analysis of travel-related CO2 in a developing city

    Shao, Qifan / Zhang, Wenjia / Cao, Xinyu (Jason) et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    What’s eating public transit in the United States? Reasons for declining transit ridership in the 2010s

    Lee, Yongsung / Lee, Bumsoo | Elsevier | 2022
    Schlagwörter: Machine learning

    Nonlinear and threshold effects of the built environment on e-scooter sharing ridership

    Yang, Hongtai / Zheng, Rong / Li, Xuan et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    The uneven geography of US air traffic delays: Quantifying the impact of connecting passengers on delay propagation

    Sismanidou, Athina / Tarradellas, Joan / Suau-Sanchez, Pere | Elsevier | 2021
    Schlagwörter: Machine learning algorithms

    Information gain, novelty seeking and travel: a model of dynamic activity-travel behavior under conditions of uncertainty

    Arentze, T.A. / Timmermans, H.J.P. | Elsevier | 2004
    Schlagwörter: Bayesian learning

    Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method

    Li, Yuanping / Ma, Changxi | ASCE | 2023
    Schlagwörter: Kernel extreme learning machine (KELM)

    Estimation of daily bicycle traffic using machine and deep learning techniques

    Miah, Md Mintu / Hyun, Kate Kyung / Mattingly, Stephen P. et al. | Online Contents | 2022
    Schlagwörter: Machine learning

    Introducing synthetic pseudo panels: application to transport behaviour dynamics

    Borysov, Stanislav S. / Rich, Jeppe | Online Contents | 2020
    Schlagwörter: Deep learning

    Incorporating Driver Behaviors in Network Design Problems: Challenges and Opportunities

    Sun, Longsheng / Karwan, Mark H. / Kwon, Changhyun | Taylor & Francis Verlag | 2016
    Schlagwörter: dynamic learning

      Incorporating Driver Behaviors in Network Design Problems: Challenges and Opportunities

      Sun, Longsheng | Online Contents | 2016
      Schlagwörter: dynamic learning

    Comparing education for sustainable development in initial teacher education across four countries

    Evans, Neus (Snowy) / Inwood, Hilary / Christie, Beth et al. | Emerald Group Publishing | 2021
    Schlagwörter: Learning for sustainability

    Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design

    Worthey, Hampton / Yang, Jidong J. / Kim, S. Sonny | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Imputing trip purposes for long-distance travel

    Lu, Yijing / Zhang, Lei | Online Contents | 2015
    Schlagwörter: Machine learning

      Imputing trip purposes for long-distance travel

      Lu, Yijing / Zhang, Lei | Online Contents | 2015
      Schlagwörter: Machine learning

    Multiagent Soft Actor–Critic for Traffic Light Timing

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

    Insights on data quality from a large-scale application of smartphone-based travel survey technology in the Phoenix metropolitan area, Arizona, USA

    Hong, Shuyao / Zhao, Fang / Livshits, Vladimir et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Particulate Matter Estimation from Public Weather Data and Closed-Circuit Television Images

    Won, Taeyeon / Eo, Yang Dam / Sung, Hongki 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

    Parking Availability Prediction in Smart City

    Abdellaoui Alaoui, El Arbi / Koumetio Tekouabou, Stephane Cedric | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Deep Learning-Based Real-Time Crack Segmentation for Pavement Images

    Wang, Wenjun / Su, Chao | Springer Verlag | 2021
    Schlagwörter: Deep learning

    Flexible Stochastic Frontier Approach to Predict Spot Speed in Two-Lane Highways

    Couto, António | Online Contents | 2016
    Schlagwörter: Learning models (Stochastic processes)

    Pore Structure Identification Method for Pervious Concrete Based on Improved UNet and Fusion Algorithm

    Yu, Fan / Li, Kailang / Zhang, Hua et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning

    Hasan, Raed Abdullah / Irshaid, Hafez / Alhomaidat, Fadi et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Generalized Linear Models to Identify the Impact of Road Geometric Design Features on Crash Frequency in Rural Roads

    Khedher, Moataz Bellah Ben / Yun, Dukgeun | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Flood Hazard Rating Prediction for Urban Areas Using Random Forest and LSTM

    Kim, Hyun Il / Kim, Byung Hyun | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Prediction of the Impact of Typhoons on Transportation Networks with Support Vector Regression

    Hu, Ta-Yin | Online Contents | 2015
    Schlagwörter: Machine learning

    Development of Point Cloud Data-Denoising Technology for Earthwork Sites Using Encoder-Decoder Network

    Choi, Yeongjun / Park, Suyeul / Kim, Seok | Springer Verlag | 2022
    Schlagwörter: Deep learning

    SEMA: A Site Equipment Management Assistant for Construction Management

    Tsai, Meng-Han / Yang, Cheng-Hsuan / Wang, Chen-Hsuan et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Enhancing Vibration-based Damage Assessment with 1D-CNN: Parametric Studies and Field Applications

    Park, Soyeon / Kim, Sunjoong | Springer Verlag | 2024
    Schlagwörter: Deep Learning

    Predicting the Compressive Strength and the Effective Porosity of Pervious Concrete Using Machine Learning Methods

    Le, Ba-Anh / Vu, Viet-Hung / Seo, Soo-Yeon et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Deep Learning-Based Prediction of Fire Occurrence with Hydroclimatic Condition and Drought Phase over South Korea

    Sung, Jang Hyun / Ryu, Young / Seong, Kee-Won | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics

    Arentze, T. A. / Timmermans, H. J. P. | Online Contents | 2005
    Schlagwörter: learning and adaptation behavior

    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