Synonyme wurden verwendet für: learning
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1–50 von 2,088 Ergebnissen
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    Learning and exit behavior of new entrant discount airlines from city-pair markets

    Dixit, Ashutosh / Chintagunta, Pradeep K. | Tema Archiv | 2007
    Schlagwörter: Lernprozess

    Decision making for highway complex scenario by improved safety field with learning process

    Xu, Can / Zhao, Wanzhong / Liu, Jingqiang et al. | SAGE Publications | 2022
    Schlagwörter: learning process

    Understanding the Impact of Electric Vehicle Driving Experience on Range Anxiety

    Marras, William S. / Rauh, Nadine / Franke, Thomas et al. | Tema Archiv | 2015
    Schlagwörter: Lernprozess

    Using Scanpaths as a Learning Method for a Conflict Detection Task of Multiple Target Tracking

    Kang, Ziho / Landry, Steven J. | Tema Archiv | 2014
    Schlagwörter: Lernprozess

    Vertragsgestaltung in der Automobilindustrie: Transaktionsmerkmale, Erfahrungslernen und Wissensmanagement

    Eckhard, Björn / Mellewigt, Thomas / Weller, Ingo | Tema Archiv | 2009
    Schlagwörter: Lernprozess

    Learning in groups of traffic signals

    Bazzan, Ana L.C. / Oliveira, Denise de / Silva, Bruno C. da | Tema Archiv | 2010
    Schlagwörter: Lernprozess

    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

    Veraergerung nach der Fachausstellung in Berlin 1974

    Tema Archiv | 1975
    Schlagwörter: LERNPROZESS

    Automatic defect classification in long-range ultrasonic rail inspection using a support vector machine-based 'smart system'

    McNamara, J.D. / Lanza di Scalea, F. / Fateh, M. | Tema Archiv | 2004
    Schlagwörter: Lernprozess

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

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

    The road to 'root cause': Shop-floor problem-solving at three auto assembly plants

    MacDuffie, J.P. | Tema Archiv | 1997
    Schlagwörter: Lernen , adaptives Lernen

    Production scheduling of assembly fixtures in the aeronautical industry

    da Silva, Bruno Jensen Virginio / Morabito, Reinaldo / Yamashita, Denise Sato et al. | Tema Archiv | 2014
    Schlagwörter: Lernprozess

    Survey of machine learning techniques in spacecraft control design

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

    Adaptive guidance and integrated navigation with reinforcement meta-learning

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

    Ein Knopf für alle Fälle. Haptisches Bediensystem setzt der Knopfflut im Kfz ein Ende

    Schmitz, H.E. / Hofmann, S. | Tema Archiv | 2001
    Schlagwörter: Lernprozess

    Aggressionsverhalten im Straßenverkehr

    Meyer-Gramcko, F. | Tema Archiv | 1997
    Schlagwörter: Lernprozess

    Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

    Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Springer Verlag | 2018
    Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

      Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

      Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Online Contents | 2018
      Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

    Data mining for quality control: Burr detection in the drilling process

    Ferreiro, Susana / Sierra, Basilio / Irigoien, Itziar et al. | Tema Archiv | 2011
    Schlagwörter: Lernen , maschinelles Lernen

    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

    Traffic speed prediction for intelligent transportation system based on a deep feature fusion model

    Li, Linchao / Qu, Xu / Zhang, Jian et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: deep learning , machine learning

    Intelligent vehicle highway systems: a call for user-centred design

    Owens, D.A. / Helmers, G. / Sivak, M. | Tema Archiv | 1993
    Schlagwörter: Lernprozess

    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

    Flight test flutter prediction using neural networks

    Crowther, W.J. / Cooper, J.E. | Tema Archiv | 2001
    Schlagwörter: Lernprozess

    Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage

    Gorecky, Dominic / Mura, Katharina / Falkenhausen, Iulia von et al. | Tema Archiv | 2013
    Schlagwörter: Lernprozess

    Design of Reinforcement Learning Parameters for Seamless Application of Adaptive Traffic Signal Control

    El-Tantawy, Samah / Abdulhai, Baher / Abdelgawad, Hossam | Taylor & Francis Verlag | 2014
    Schlagwörter: Reinforcement Learning , Temporal Difference 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

    Enhancing discrete choice models with representation learning

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

    A methodology for photometric validation in vehicles visual interactive systems

    Faria, A.W.C. / Menotti, D. / Pappa, G.L. et al. | Tema Archiv | 2012
    Schlagwörter: Lernen , maschinelles Lernen

    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

    Using reinforcement learning to minimize taxi idle times

    O’Keeffe, Kevin / Anklesaria, Sam / Santi, Paolo et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning , reinforcement 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

    Les réseaux apprennants à la SNCF ou comment rendre les organisations vivante

    Raynard, Thierry | IuD Bahn | 2014
    Schlagwörter: Betriebliches Lernen

    Semi-Supervised Active Learning for Anomaly Detection in Aviation

    Memarzadeh, Milad / Matthews, Bryan / Templin, Thomas et al. | AIAA | 2023
    Schlagwörter: Feature Learning , Deep Learning , Active Learning

    Automotive fault diagnosis - part II: a distributed agent diagnostic system

    Murphey, Y.L. / Crossman, J.A. / Chen, ZhiHang et al. | Tema Archiv | 2003
    Schlagwörter: Lernen , maschinelles Lernen

    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

    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

    Self-learning for translational control of elliptical orbit spacecraft formations

    Lu, Weijia / Zhang, Chengxi / Liu, Fei et al. | Emerald Group Publishing | 2024
    Schlagwörter: Variable learning intensity , Self-learning control

    Application of time-variant predictive control to modelling driver steering skill

    Keen, Steven D. / Cole, David J. | Tema Archiv | 2011
    Schlagwörter: Lernprozess

    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

    Preceding vehicle following algorithm with human driving characteristics

    Pan, Feng / Bao, Hong | SAGE Publications | 2021
    Schlagwörter: reinforcement learning , Inverse reinforcement learning

    A deep learning based traffic crash severity prediction framework

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

    Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach

    Cheng, Yanqiu / Hu, Xianbiao / Chen, Kuanmin et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep Q-learning , reinforcement 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