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1–50 von 1,032 Ergebnissen
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    The learning process of accessibility instrument developers: Testing the tools in planning practice

    Papa, Enrica / Coppola, Pierluigi / Angiello, Gennaro et al. | Elsevier | 2017
    Schlagwörter: Interactive learning process

    Unmixing method for hyperspectral data based on sub-space method with learning process

    Arai, Kohei / Chen, Huahui | Elsevier | 2009
    Schlagwörter: Learning process

    Survey of machine learning techniques in spacecraft control design

    Shirobokov, Maksim / Trofimov, Sergey / Ovchinnikov, Mikhail | Elsevier | 2021
    Schlagwörter: Machine learning , Supervised learning , Reinforcement learning

    Adaptive guidance and integrated navigation with reinforcement meta-learning

    Gaudet, Brian / Linares, Richard / Furfaro, Roberto | Elsevier | 2020
    Schlagwörter: Meta learning , Reinforcement learning

    Using cost benefit analysis as a learning process: identifying interventions for improving communication and trust

    Beukers, Els / Bertolini, Luca / Te Brömmelstroet, Marco | Elsevier | 2013
    Schlagwörter: Learning process

    GIS-based ensemble soft computing models for landslide susceptibility mapping

    Pham, Binh Thai / Phong, Tran Van / Nguyen-Thoi, Trung et al. | Elsevier | 2020
    Schlagwörter: Machine learning , Ensembles learning

    Reinforcement learning approach for train rescheduling on a single-track railway

    Šemrov, D. / Marsetič, R. / Žura, M. et al. | Elsevier | 2015
    Schlagwörter: Reinforcement learning , Q-learning

    Integrating big data analytics in autonomous driving: An unsupervised hierarchical reinforcement learning approach

    Mao, Zhiqi / Liu, Yang / Qu, Xiaobo | Elsevier | 2024
    Schlagwörter: Reinforcement learning , Deep learning , Unsupervised skill learning

    A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data

    Bagheri, Hossein | Elsevier | 2022
    Schlagwörter: Machine learning , Deep learning

    Robotic Mission to Mars: Hands-on, minds-on, web-based learning

    Mathers, Naomi / Goktogen, Ali / Rankin, John et al. | Elsevier | 2012
    Schlagwörter: Scenario-based learning , Problem-based learning , Hands-on learning , 21st century learning , On-line learning

    Predicting cycle-level traffic movements at signalized intersections using machine learning models

    Mahmoud, Nada / Abdel-Aty, Mohamed / Cai, Qing et al. | Elsevier | 2020
    Schlagwörter: Deep learning , Machine learning

    Enhancing discrete choice models with representation learning

    Sifringer, Brian / Lurkin, Virginie / Alahi, Alexandre | Elsevier | 2020
    Schlagwörter: Machine learning , Deep learning

    Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control

    Gong, Yaobang / Abdel-Aty, Mohamed / Yuan, Jinghui et al. | Elsevier | 2020
    Schlagwörter: Multi-objective reinforcement learning , Deep learning

    Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

    Khan, Waqar Ahmed / Ma, Hoi-Lam / Ouyang, Xu et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine , Machine learning

    Challenge-Based Learning in Aerospace Engineering Education: The ESA Concurrent Engineering Challenge at the Technical University of Madrid

    López-Fernández, D. / Salgado Sánchez, P. / Fernández, J. et al. | Elsevier | 2020
    Schlagwörter: Active learning , Challenge-Based Learning

    Characterizing accident narratives with word embeddings: Improving accuracy, richness, and generalizability

    Goldberg, David M. | Elsevier | 2021
    Schlagwörter: Machine learning , Transfer learning

    A gradient boosting method to improve travel time prediction

    Zhang, Yanru / Haghani, Ali | Elsevier | 2015
    Schlagwörter: Ensemble learning , Machine learning

    Propulsionless planar phasing of multiple satellites using deep reinforcement learning

    Smith, Brenton / Abay, Rasit / Abbey, Joshua et al. | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    How airlines learn from airline accidents: An empirical study of how attributed errors and performance feedback affect learning from failure

    Kim, Euisin / Rhee, Mooweon | Elsevier | 2016
    Schlagwörter: Organizational learning , Learning from airline accidents , Learning from failure

    A deep learning based traffic crash severity prediction framework

    Rahim, Md Adilur / Hassan, Hany M. | Elsevier | 2021
    Schlagwörter: Deep learning , Transfer learning

    Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning

    Li, Zhenning / Yu, Hao / Zhang, Guohui et al. | Elsevier | 2021
    Schlagwörter: Multi-agent reinforcement learning , Deep learning

    Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning

    Zhang, Pujun / Lei, Dazhou / Liu, Shan et al. | Elsevier | 2024
    Schlagwörter: Inverse reinforcement learning , Meta-learning

    Recent advances and prospects in hypersonic inlet design and intelligent optimization

    Ma, Yue / Guo, Mingming / Tian, Ye et al. | Elsevier | 2024
    Schlagwörter: Machine learning , Reinforcement learning

    Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors

    Guo, Qiangqiang / Angah, Ohay / Liu, Zhijun et al. | Elsevier | 2021
    Schlagwörter: Hybrid reinforcement learning , Deep Q-learning

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

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

    Anomalous ride-hailing driver detection with deep transfer inverse reinforcement learning

    Liu, Shan / Wang, Zhengli / Zhang, Ya et al. | Elsevier | 2023
    Schlagwörter: Inverse reinforcement learning , Transfer learning

    Unlabeled scene adaptive crowd counting via meta-ensemble learning

    Ma, Chaoqun / Zeng, Jia / Shao, Penghui et al. | Elsevier | 2023
    Schlagwörter: Meta-learning , Ensemble learning

    A feature learning approach based on XGBoost for driving assessment and risk prediction

    Shi, Xiupeng / Wong, Yiik Diew / Li, Michael Zhi-Feng et al. | Elsevier | 2019
    Schlagwörter: Feature learning

    Developing and testing a hazard prediction task for novice drivers: A novel application of naturalistic driving videos

    Ehsani, Johnathon P. / Seymour, Karen E. / Chirles, Theresa et al. | Elsevier | 2020
    Schlagwörter: Learning

    A novel passenger flow prediction model using deep learning methods

    Liu, Lijuan / Chen, Rung-Ching | Elsevier | 2017
    Schlagwörter: Deep learning

    Relative motion guidance for near-rectilinear lunar orbits with path constraints via actor-critic reinforcement learning

    Scorsoglio, Andrea / Furfaro, Roberto / Linares, Richard et al. | Elsevier | 2022
    Schlagwörter: Machine learning , Reinforcement learning

    AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

    Li, Huanhuan / Jiao, Hang / Yang, Zaili | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling

    Chen, Kehua / Han, Jindong / Feng, Siyuan et al. | Elsevier | 2023
    Schlagwörter: Representation learning , Contrastive learning

    Highway crash detection and risk estimation using deep learning

    Huang, Tingting / Wang, Shuo / Sharma, Anuj | Elsevier | 2019
    Schlagwörter: Deep learning

    A methodology to evaluate driving efficiency for professional drivers based on a maturity model

    Pozueco, Laura / Pañeda, Xabiel G. / Tuero, Alejandro G. et al. | Elsevier | 2017
    Schlagwörter: Learning evaluation methodology , Adaptive-learning

    Real-world ride-hailing vehicle repositioning using deep reinforcement learning

    Jiao, Yan / Tang, Xiaocheng / Qin, Zhiwei (Tony) et al. | Elsevier | 2021
    Schlagwörter: Deep reinforcement learning

    ResLogit: A residual neural network logit model for data-driven choice modelling

    Wong, Melvin / Farooq, Bilal | Elsevier | 2021
    Schlagwörter: Deep learning , Machine learning

    An efficient realization of deep learning for traffic data imputation

    Duan, Yanjie / Lv, Yisheng / Liu, Yu-Liang et al. | Elsevier | 2016
    Schlagwörter: Deep learning

    Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning

    Sun, Jie / Yang, Hai | Elsevier | 2024
    Schlagwörter: Imitation learning , Adversarial inverse reinforcement learning

    Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

    Yan, Yimo / Chow, Andy H.F. / Ho, Chin Pang et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    Benchmarking deep learning approaches for all-vs-all conjunction screening

    Stevenson, Emma / Rodriguez-Fernandez, Victor / Urrutxua, Hodei et al. | Elsevier | 2023
    Schlagwörter: Deep learning , Machine learning

    Autonomous anomaly detection on traffic flow time series with reinforcement learning

    He, Dan / Kim, Jiwon / Shi, Hua et al. | Elsevier | 2023
    Schlagwörter: Reinforcement learning , Deep learning

    Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data

    Chauhan, Mamta / Sur, Koyel / Chauhan, Prakash et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Robust unsupervised learning of temporal dynamic vehicle-to-vehicle interactions

    Guha, Aritra / Lei, Rayleigh / Zhu, Jiacheng et al. | Elsevier | 2022
    Schlagwörter: Unsupervised learning

    Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks

    Wang, Shenhao / Mo, Baichuan / Zhao, Jinhua | Elsevier | 2021
    Schlagwörter: Deep learning

    Deep reinforcement learning based path stretch vector resolution in dense traffic with uncertainties

    Pham, Duc-Thinh / Tran, Phu N. / Alam, Sameer et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning , Learning environment

    Data-efficient modeling for power consumption estimation of quadrotor operations using ensemble learning

    Dai, Wei / Zhang, Mingcheng / Low, Kin Huat | Elsevier | 2023
    Schlagwörter: Machine learning , Ensemble learning

    Warning systems triggered by trains increase flight-initiation times of wildlife

    Backs, Jonathan A.J. / Nychka, John A. / St. Clair, Colleen Cassady | Elsevier | 2020
    Schlagwörter: Learning

    Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

    Liu, Yang / Wu, Fanyou / Lyu, Cheng et al. | Elsevier | 2022
    Schlagwörter: Deep reinforcement learning