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    Forecasting road traffic conditions using a context-based random forest algorithm

    Evans, Jonny / Waterson, Ben / Hamilton, Andrew | Taylor & Francis Verlag | 2019
    Schlagwörter: machine learning

    Hybrid Modeling of a Catalyst with Autoencoder Based Selection Strategy

    März, Christian / Guehmann, Clemens / Behrendt, Frank et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach

    Xie, Biao / Wang, Bowen / Zhao, Dezong et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Current Stage of Autonomous Driving Through A Quick Survey for Novice

    Freier Zugriff
    Sarraf, Saman | BASE | 2020
    Schlagwörter: Machine Learning

    Book Review: Matrix Methods: Applied Linear Algebra and Sabermetrics

    AIAA | 2020
    Schlagwörter: Machine Learning

    Examining non-linear associations between built environments around workplace and adults’ walking behaviour in Shanghai, China

    Yang, Haoran / Zhang, Qinran / Helbich, Marco et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Applying Machine Learning Tools for Runway Configuration Decision Support

    K. M. Kalyanam / M. Memarzadeh / J. Crissman et al. | NTIS | 2024
    Schlagwörter: Machine learning , Q-learning

    Evaluation of machine learning techniques with AVIRIS-NG dataset in the identification and mapping of minerals

    Agrawal, Neelam / Govil, Himanshu / Chatterjee, Snehamoy et al. | Elsevier | 2022
    Schlagwörter: Machine Learning

    Deep Double Q-Learning Method for CAVs Traffic Signal Control

    Zhao, Chunxia / Lin, Peiqun / Liu, QingChao et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality

    Meng, Chao / Wang, Hanchao / Mei, Jinren et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023

    Azimov, Dilmurat | Springer Verlag | 2024
    Schlagwörter: Machine learning.

    Evaluation of machine learning methodologies to predict stop delivery times from GPS data

    Hughes, Sebastián / Moreno, Sebastián / Yushimito, Wilfredo F. et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning

    Adiel Felsen / Julie Nicely / Bryan Duncan | NTRS
    Schlagwörter: machine learning

    CNN-assisted Road Sign Inspection on the Computing Continuum

    Freier Zugriff
    Narges Mehran / Radu Prodan | BASE | 2023
    Schlagwörter: machine learning

    A crash severity analysis at highway-rail grade crossings: The random survival forest method

    Keramati, Amin / Lu, Pan / Iranitalab, Amirfarrokh et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Simulation of Telemetry Signals of a Car Using Machine Learning

    Revi, Krishna / Munet, Rahul / Vijaya Kumar, Santhosh Kumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Galactic component mapping of galaxy UGC 2885 by machine learning classification

    Kwik, Robin J. / Wang, Jinfei / Barmby, Pauline et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    A European Study to identify Key Operational Parameters for ATFM Routing Decisions

    Freier Zugriff
    Derra, Manuel / Lau, Alexander / Gollnick, Volker | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Machine Learning

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

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

    An Exposed Closed-Loop Model forCustomer-Driven Service Assurance Automation

    Freier Zugriff
    Xie, Min / Michelinakis, Foivos / Dreibholz, Thomas et al. | BASE | 2021
    Schlagwörter: machine learning

    Pattern recognition in time series for space missions: A rosetta magnetic field case study

    Ostaszewski, K. / Heinisch, P. / Richter, I. et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Machine Learning based Operation Strategy for EV Vacuum Pump

    Mullapudi, Dattatreyudu / Dake, Prudhvi / mohan, Somanathan | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Predicting Arrival and Departure Runway Assignments with Machine Learning

    Andrew Churchill / William J Coupe / Yoon Jung | NTRS | 2021
    Schlagwörter: machine learning

    Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study

    Zhu, Feng / Zhou, Runzhou / Yang, Zaihan | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning

    Freier Zugriff
    Skatchkovsky, Nicolas / Simeone, Osvaldo | BASE | 2019
    Schlagwörter: Machine learning

    Design, dynamics, and control of micro underwater vehicle systems for autonomous environmental exploration

    Freier Zugriff
    Solowjow, Eugen / Technische Universität Hamburg-Harburg / Technische Universität Hamburg, Institut für Mechanik und Meerestechnik | TIBKAT | 2019
    Schlagwörter: Machine learning

    ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot

    Michael Dupuis / Joe Cloud / Evan Bell et al. | NTRS
    Schlagwörter: machine learning

    Recognition of Customers' Impulsivity from Behavioral Patterns in Virtual Reality

    Freier Zugriff
    Moghaddasi, Masoud / Marín-Morales, Javier / Khatri, Jaikishan et al. | BASE | 2021
    Schlagwörter: machine learning

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

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

    Design of double layer protective coatings: Finite element modeling and machine learning approximations

    Kolesnikov, V.I. / Pashkov, D.M. / Belyak, O.A. et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Gaze Tracking in Semi-Autonomous Grasping

    Freier Zugriff
    Castellini, Claudio | BASE | 2008
    Schlagwörter: machine learning

    Tuning of Turbulence Model Closure Coefficients Using an Explainability Based Machine Learning Algorithm

    Bounds, Charles Patrick / Uddin, Mesbah / Desai, Shishir | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    On suspicious tracks: Machine-learning based approaches to detect cartels in railway-infrastructure procurement

    Wallimann, Hannes / Sticher, Silvio | Elsevier | 2023
    Schlagwörter: Machine learning

    Travel mode choice: a data fusion model using machine learning methods and evidence from travel diary survey data

    Chang, Ximing / Wu, Jianjun / Liu, Hao et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: machine learning

    Enhancing discrete choice models with representation learning

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

    Dynamic activity chain pattern estimation under mobility demand changes during COVID-19

    Liu, Yan / Tong, Lu Carol / Zhu, Xi et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Neural networks for modelling the energy consumption of metro trains

    Martínez Fernández, Pablo / Salvador Zuriaga, Pablo / Villalba Sanchís, Ignacio et al. | SAGE Publications | 2020
    Schlagwörter: machine 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

    Intelligent characterisation of space objects with hyperspectral imaging

    Vasile, Massimiliano / Walker, Lewis / Dunphy, R. David et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction

    Shaymaa Khater / Juan Rebollo / William J Coupe | NTRS | 2021
    Schlagwörter: machine learning

    A Decentralized Multi-agent Energy Management Strategy Based on a Look-Ahead Reinforcement Learning Approach

    Khalatbarisoltani, Arash / Boulon, Loic / Kandidayeni, Mohsen et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Hybrid Method for Automotive Entity Recognition

    Manalikandy, Mithun / Sivaraman, Navya K / Koduri, Rajesh | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Synthesizing neighborhood preferences for automated vehicles

    Zhang, Wenwen / Wang, Kaidi / Wang, Sicheng et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction

    S. Khater / J. Rebollo / W. J. Coupe | NTIS | 2021
    Schlagwörter: Machine learning

      Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction

      S. Khater / J. Rebollo / W. J. Coupe | NTIS | 2021
      Schlagwörter: Machine learning

    Learning soft task priorities for safe control of humanoid robots with constrained stochastic optimization

    Freier Zugriff
    MODUGNO, VALERIO / Chervet, Ugo / ORIOLO, Giuseppe et al. | BASE | 2016
    Schlagwörter: Machine learning

    Hybrid machine learning algorithm and statistical time series model for network-wide traffic forecast

    Ma, Tao / Antoniou, Constantinos / Toledo, Tomer | Elsevier | 2019
    Schlagwörter: Machine learning

    Driver Distraction Detection with a Two-stream Convolutional Neural Network

    Nie, Linzhen / Ma, Yuefeng / Yin, Zhishuai | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Automated crater detection algorithms from a machine learning perspective in the convolutional neural network era

    DeLatte, D.M. / Crites, S.T. / Guttenberg, N. et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Predicting Arrival and Departure Runway Assignments with Machine Learning

    Andrew Churchill / William J Coupe / Yoon C Jung | NTRS | 2021
    Schlagwörter: machine learning

    Prediction of Autoignition and Flame Properties for Multicomponent Fuels Using Machine Learning Techniques

    DelVescovo, Dan / Ge, Haiwen / Shah, Neel et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

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