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1–50 von 2,892 Ergebnissen
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    2D-supervised fast neural fluid reconstruction technique for time-resolved volumetric flame reconstruction

    Zhang, Fuhao / Zhang, Weixuan / Gong, Shuicheng et al. | Elsevier | 2023
    Schlagwörter: Deep learning , Transfer learning

    3D Path Planning for UAV with Improved Double Deep Q-Network

    Zhao, Liping / Ma, Yaofei / Zou, Jie | Springer Verlag | 2020
    Schlagwörter: Reinforcement learning

    3D Reconstruction by Pretrained Features and Visual-Inertial Odometry

    Kunbum, Park / Tsuchiya, Takeshi | Springer Verlag | 2022
    Schlagwörter: Ensemble vision machine learning

    6-DOF Reinforcement Learning Control for Multi-rotor and Fixed-Wing Aircrafts

    Sheng, Zhang / Pan, Zhou / Jiale, Quan et al. | Springer Verlag | 2023
    Schlagwörter: Deep reinforcement learning

    2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017

    Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers / Institute of Electrical and Electronics Engineers, Cleveland Section et al. | TIBKAT | 2017
    Schlagwörter: Maschinelles Lernen

    2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)

    IEEE Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers | TIBKAT | 2019
    Schlagwörter: Maschinelles Lernen

    2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021

    IEEE Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers | TIBKAT | 2021
    Schlagwörter: Maschinelles Lernen

    2023 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 20-22 June 2023 : conference location: Cleveland, Ohio, USA

    IEEE Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    A 3D game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts

    Albaba, Berat Mert / Musavi, Negin / Yildiz, Yildiray | Elsevier | 2021
    Schlagwörter: Reinforcement Learning

    A batch reinforcement learning approach to vacant taxi routing

    Yu, Xinlian / Gao, Song | Elsevier | 2022
    Schlagwörter: Batch reinforcement learning

    A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models

    Sengupta, Agnimitra / Mondal, Sudeepta / Das, Adway et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    A Bayesian clustering ensemble Gaussian process model for network-wide traffic flow clustering and prediction

    Zhu, Zheng / Xu, Meng / Ke, Jintao et al. | Elsevier | 2023
    Schlagwörter: Statistical learning

    A Bayesian deep learning method for freeway incident detection with uncertainty quantification

    Liu, Genwang / Jin, Haolin / Li, Jiaze et al. | Elsevier | 2022
    Schlagwörter: Bayesian deep learning , Machine learning

    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 behavioral analysis of freight mode choice decisions

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

    A bibliometric analysis and review on reinforcement learning for transportation applications

    Li, Can / Bai, Lei / Yao, Lina et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    A bi-level control framework with temperature rise inference and intelligent decision-making longitudinal control on downgrade hydrodynamic braking process

    Chen, Xiuqi / Wei, Wei / Tao, Tianlang et al. | SAGE Publications | 2024
    Schlagwörter: deep reinforcement learning

    A bi-level cooperative operation approach for AGV based automated valet parking

    Zhang, Jiawei / Li, Zhiheng / Li, Li et al. | Elsevier | 2021
    Schlagwörter: Deep reinforcement learning (DRL)

    A bi-objective deep reinforcement learning approach for low-carbon-emission high-speed railway alignment design

    He, Qing / Gao, Tianci / Gao, Yan et al. | Elsevier | 2022
    Schlagwörter: Bi-objective deep reinforcement learning

    A Brief Survey of Sim2Real Methods for Robot Learning

    Dimitropoulos, Konstantinos / Hatzilygeroudis, Ioannis / Chatzilygeroudis, Konstantinos | Springer Verlag | 2022
    Schlagwörter: Robot learning , Machine Learning

    A Case Study with the BEE-Miner Algorithm: Defects on the Production Line

    Ay, Merhad / Baykasoglu, Adil / Ozbakir, Lale et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Accelerating reliability-based topology optimization via gradient online learning and prediction

    Xing, Yi / Tong, Liyong | Elsevier | 2023
    Schlagwörter: 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

    Accident Detection in Surveillance Camera

    Adil, A. P. / Anandhu, M. G. / Joy, Jeovan Elsa et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Accident Prediction in Smart Vehicle Urban City Communication Using Machine Learning Algorithm

    Saravanan, M. / Sakthivel, K. / Sujith, J. G. et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Accident Prediction Modeling for Collision Types Using Machine Learning Tools

    Harsha Jasni, T. C. / Moses Santhakumar, S. / Ebin Sam, S. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Accounting for dynamic speed limit control in a stochastic traffic environment: A reinforcement learning approach

    Zhu, Feng / Ukkusuri, Satish V. | Elsevier | 2014
    Schlagwörter: Reinforcement learning

    Accuracy of reinforcement learning algorithms for predicting aircraft taxi-out times: A case-study of Tampa Bay departures

    Balakrishna, Poornima / Ganesan, Rajesh / Sherry, Lance | Elsevier | 2010
    Schlagwörter: Reinforcement learning

    AcListant with Continuous Learning: Speech Recognition in Air Traffic Control

    Rataj, J. / Helmke, H. / Ohneiser, O. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    A Closed-Form Correction for the Spalart–Allmaras Turbulence Model for Separated Flows

    Jäckel, Florian | AIAA | 2023
    Schlagwörter: Machine Learning

    A clustering-based quantitative analysis of the interdependent relationship between spatial and energy anomalies in ADS-B trajectory data

    Corrado, Samantha J. / Puranik, Tejas G. / Fischer, Olivia Pinon et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning , reinforcement learning

    A Compact Orthomode Transducer in K-Band for Satellite Communications

    Kumar, V. Santhosh / Lavuri, NageswaraRao / Shaik, Abdul Subhani | Springer Verlag | 2022
    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 | Springer Verlag | 2018
    Schlagwörter: machine 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)

    A comparative study on class-imbalanced gas turbine fault diagnosis

    Bai, Mingliang / Liu, Jinfu / Long, Zhenhua et al. | SAGE Publications | 2023
    Schlagwörter: machine learning , class-imbalanced learning

    A Comparison of Deep Learning-Based Monocular Visual Odometry Algorithms

    Jeong, Eunju / Lee, Jaun / Kim, Pyojin | Springer Verlag | 2022
    Schlagwörter: Deep Learning

    A comparison of statistical learning methods for deriving determining factors of accident occurrence from an imbalanced high resolution dataset

    Schlögl, Matthias / Stütz, Rainer / Laaha, Gregor et al. | Elsevier | 2019
    Schlagwörter: Statistical learning

    A Comparison Study of Font Reconstruction Using Differential Evolution

    Roslan, N. / Yahya, Z. R. / Muhamad, W. Z. A. W. et al. | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach

    Soleimani, Samira / Mousa, Saleh R. / Codjoe, Julius et al. | Elsevier | 2019
    Schlagwörter: Machine Learning

    A comprehensive review of trip generation models based on land use characteristics

    Mukherjee, Jaideep / Raghuram Kadali, B. | Elsevier | 2022
    Schlagwörter: Machine learning approaches

    A computational approach for real-time stochastic recovery of electric power networks during a disaster

    Inanlouganji, Alireza / Pedrielli, Giulia / Reddy, T. Agami et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning

    A conflict-based approach for real-time road safety analysis: Comparative evaluation with crash-based models

    Orsini, Federico / Gecchele, Gregorio / Rossi, Riccardo et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-robot Tasks

    Notomista, Gennaro | Springer Verlag | 2024
    Schlagwörter: Learning and adaptation in teams of robots

    A Constructive Problem-Based Course Design for Internet of Things

    Ma, Xiaohu / Pan, Yeh-Jong / Chen, Fang et al. | Springer Verlag | 2017
    Schlagwörter: Problem-based learning