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151–200 von 1,032 Ergebnissen
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    Deep learning-based spacecraft relative navigation methods: A survey

    Song, Jianing / Rondao, Duarte / Aouf, Nabil | Elsevier | 2021
    Schlagwörter: Deep learning

    A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data

    Dabiri, Sina / Marković, Nikola / Heaslip, Kevin et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Using machine learning for direct demand modeling of ridesourcing services in Chicago

    Yan, Xiang / Liu, Xinyu / Zhao, Xilei | Elsevier | 2020
    Schlagwörter: Machine learning

    Integrating probabilistic tensor factorization with Bayesian supervised learning for dynamic ridesharing pattern analysis

    Zhu, Zheng / Sun, Lijun / Chen, Xiqun et al. | Elsevier | 2020
    Schlagwörter: Supervised learning

    A new deep learning approach for hyperspectral image classification based on multifeature local kernel descriptors

    Asghari Beirami, Behnam / Mokhtarzade, Mehdi | Elsevier | 2023
    Schlagwörter: Deep learning

    Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations

    Li, Guopeng / Knoop, Victor L. / van Lint, Hans | Elsevier | 2021
    Schlagwörter: Deep learning

    Assessing bikeability with street view imagery and computer vision

    Ito, Koichi / Biljecki, Filip | Elsevier | 2021
    Schlagwörter: Deep learning

    A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw

    Ijaz, Muhammad / lan, Liu / Zahid, Muhammad et al. | Elsevier | 2021
    Schlagwörter: Machine learning (ML)

    Real-time traffic accidents post-impact prediction: Based on crowdsourcing data

    Lin, Yunduan / Li, Ruimin | Elsevier | 2020
    Schlagwörter: Machine learning

    Real-time crash risk prediction on arterials based on LSTM-CNN

    Li, Pei / Abdel-Aty, Mohamed / Yuan, Jinghui | Elsevier | 2019
    Schlagwörter: Deep learning

    Deep neural networks for choice analysis: A statistical learning theory perspective

    Wang, Shenhao / Wang, Qingyi / Bailey, Nate et al. | Elsevier | 2021
    Schlagwörter: Statistical learning theory

    Neural network based feedback optimal control for pinpoint landers under disturbances

    Mulekar, Omkar S. / Cho, Hancheol / Bevilacqua, Riccardo | Elsevier | 2023
    Schlagwörter: Machine learning

    Detecting motorcycle helmet use with deep learning

    Siebert, Felix Wilhelm / Lin, Hanhe | Elsevier | 2019
    Schlagwörter: Deep learning

    How do cities approach policy innovation and policy learning? A study of 30 policies in Northern Europe and North America

    Marsden, G. / Frick, K.T. / May, A.D. et al. | Elsevier | 2010
    Schlagwörter: Policy learning

    A gravity assist mapping for the circular restricted three-body problem using Gaussian processes

    Liu, Yuxin / Noomen, Ron / Visser, Pieter | Elsevier | 2021
    Schlagwörter: Machine learning

    Differential variable speed limits control for freeway recurrent bottlenecks via deep actor-critic algorithm

    Wu, Yuankai / Tan, Huachun / Qin, Lingqiao et al. | Elsevier | 2020
    Schlagwörter: Deep reinforcement learning

    Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

    Fan, Pengfei / Song, Guohua / Zhai, Zhiqiang et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Reflections on early lunar base design – From sketch to the first moon landing

    Haeuplik-Meusburger, Sandra / Bannova, Olga | Elsevier | 2022
    Schlagwörter: Experiential learning

    Explainable, automated urban interventions to improve pedestrian and vehicle safety

    Bustos, C. / Rhoads, D. / Solé-Ribalta, A. et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Blade sequencing optimization of aero-engine based on deep reinforcement learning

    Sun, Chuanzhi / Wu, Huilin / Lu, Qing et al. | Elsevier | 2023
    Schlagwörter: Reinforcement learning

    Workers’ compensation claim counts and rates by injury event/exposure among state-insured private employers in Ohio, 2007–2017

    Wurzelbacher, Steven J. / Meyers, Alysha R. / Lampl, Michael P. et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Real-time demand forecasting for an urban delivery platform

    Hess, Alexander / Spinler, Stefan / Winkenbach, Matthias | Elsevier | 2020
    Schlagwörter: Machine learning

    Prediction of solar cycle 25 using deep learning based long short-term memory forecasting technique

    Prasad, Amrita / Roy, Soumya / Sarkar, Arindam et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions

    Wu, Xinyi / Tao, Tao / Cao, Jason et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Enabling intelligent onboard guidance, navigation, and control using reinforcement learning on near-term flight hardware

    Wilson, Callum / Riccardi, Annalisa | Elsevier | 2022
    Schlagwörter: Reinforcement learning

    Adaptive traffic signal control using approximate dynamic programming

    Cai, Chen / Wong, Chi Kwong / Heydecker, Benjamin G. | Elsevier | 2009
    Schlagwörter: Reinforcement learning

    On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis

    Chikaraishi, Makoto / Garg, Prateek / Varghese, Varun et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles

    Xing, Yang / Lv, Chen / Cao, Dongpu et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Reward design for driver repositioning using multi-agent reinforcement learning

    Shou, Zhenyu / Di, Xuan | Elsevier | 2020
    Schlagwörter: Mean field multi-agent reinforcement learning

    TASEC-Lab: A COTS-based CubeSat-like university experiment for characterizing the convective heat transfer in stratospheric balloon missions

    González-Bárcena, David / Peinado-Pérez, Lilian / Fernández-Soler, Alejandro et al. | Elsevier | 2022
    Schlagwörter: Project-based learning

    Optimal Q-laws via reinforcement learning with guaranteed stability

    Holt, Harry / Armellin, Roberto / Baresi, Nicola et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning

    Integrated robust navigation and guidance for the kinetic impact of near-earth asteroids based on deep reinforcement learning

    Yuan, Hao / Li, Dongxu / Wang, Jie | Elsevier | 2023
    Schlagwörter: End-to-end learning , Deep reinforcement learning

    Non-linear associations between the built environment and the physical activity of children

    Huang, Xiaoyan / Lu, Gaigai / Yin, Jiangbin et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Cooperative pursuit with multiple pursuers based on Deep Minimax Q-learning

    Ji, Mengda / Xu, Genjiu / Duan, Zekun et al. | Elsevier | 2024
    Schlagwörter: Deep Minimax Q-learning

    A junction-tree based learning algorithm to optimize network wide traffic control: A coordinated multi-agent framework

    Zhu, Feng / Aziz, H.M. Abdul / Qian, Xinwu et al. | Elsevier | 2014
    Schlagwörter: Reinforcement learning

    Generating bunkering statistics from AIS data: A machine learning approach

    Fuentes, Gabriel | Elsevier | 2021
    Schlagwörter: Machine learning

    Ineffective built environment interventions: How to reduce driving in American suburbs?

    Tao, Tao / Cao, Jason | Elsevier | 2023
    Schlagwörter: Machine learning

    Exploring bias in incident investigations: An empirical examination using construction case studies

    Thallapureddy, Sreeja / Sherratt, Fred / Bhandari, Siddharth et al. | Elsevier | 2023
    Schlagwörter: Learning from Incidents

    Motivational impact of active learning methods in aerospace engineering students

    López-Fernández, Daniel / Ezquerro, José Miguel / Rodríguez, Jacobo et al. | Elsevier | 2019
    Schlagwörter: Active learning

    Autonomous navigation at unsignalized intersections: A coupled reinforcement learning and model predictive control approach

    Bautista-Montesano, Rolando / Galluzzi, Renato / Ruan, Kangrui et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning

    Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach

    Pang, Yutian / Zhao, Xinyu / Yan, Hao et al. | Elsevier | 2021
    Schlagwörter: Bayesian deep learning

    Predictive classification and understanding of weather impact on airport performance through machine learning

    Schultz, Michael / Reitmann, Stefan / Alam, Sameer | Elsevier | 2021
    Schlagwörter: Machine learning

    Exploring the non-linear associations between spatial attributes and walking distance to transit

    Tao, Tao / Wang, Jueyu / Cao, Xinyu | Elsevier | 2019
    Schlagwörter: Machine learning

    Time resolved study of laser triggered electric discharge spark in atmosphere: Machine learning approach

    Rabasovic, Maja S. / Marinkovic, Bratislav P. / Sevic, Dragutin | Elsevier | 2022
    Schlagwörter: Machine learning

    Estimating the robustness of public transport schedules using machine learning

    Müller-Hannemann, Matthias / Rückert, Ralf / Schiewe, Alexander et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Classifying injury narratives of large administrative databases for surveillance—A practical approach combining machine learning ensembles and human review

    Marucci-Wellman, Helen R. / Corns, Helen L. / Lehto, Mark R. | Elsevier | 2016
    Schlagwörter: Machine learning