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301–350 von 3,675 Ergebnissen
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    Prediction of aircraft performances based on data collected by air traffic control centers

    Hrastovec, Marko / Solina, Franc | Elsevier | 2016
    Schlagwörter: Machine learning

    Teaching robot’s proactive behavior using human assistance

    Freier Zugriff
    Garrell, Anaís / Villamizar, Michael / Moreno-Noguer, Francesc et al. | BASE | 2017
    Schlagwörter: Human-assisted learning

    Machine learning approach to ship fuel consumption: A case of container vessel

    Uyanık, Tayfun / Karatuğ, Çağlar / Arslanoğlu, Yasin | Elsevier | 2020
    Schlagwörter: Machine learning

    Midbrain dopamine neurons signal phasic and ramping reward prediction error during goal-directed navigation

    Freier Zugriff
    Farrell, Karolina / Lak, Armin / Saleem, Aman B | BASE | 2022
    Schlagwörter: Q-learning , reinforcement learning

    A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability

    Han, Yafei / Pereira, Francisco Camara / Ben-Akiva, Moshe et al. | Elsevier | 2022
    Schlagwörter: Machine learning , Deep learning

    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

    Ausbilden auf hohem Niveau

    Komplexer Lernstoff lässt sich in Blended-Learning-Modulen aufbereiten
    Hofmann, Ursula | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Activity Recognition with Wearable Sensors on Loose Clothing

    Freier Zugriff
    Michael, Brendan / Howard, Matthew Jacob William | BASE | 2017
    Schlagwörter: Machine Learning

    On the Impact of the Rules on Autonomous Drive Learning

    Freier Zugriff
    Talamini, Jacopo / Bartoli, Alberto / De Lorenzo, Andrea De et al. | BASE | 2020
    Schlagwörter: Reinforcement Learning

    A synthesis of automated planning and reinforcement learning for efficient, robust decision-making

    Freier Zugriff
    LEONETTI, MATTEO / IOCCHI, Luca / Stone, Peter | BASE | 2016
    Schlagwörter: Reinforcement learning , Robot learning

    Traffic campaigns and overconfidence: An experimental approach

    Silva, Thiago Christiano / Laiz, Marcela T. / Tabak, Benjamin Miranda | Elsevier | 2020
    Schlagwörter: Machine learning

    Sunspot cycle prediction using Warped Gaussian process regression

    Gonçalves, Ítalo G. / Echer, Ezequiel / Frigo, Everton | Elsevier | 2019
    Schlagwörter: Machine learning

    Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

    Furfaro, Roberto / Scorsoglio, Andrea / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Deep reinfocement learning

    One day ahead prediction of global TEC using Pix2pixhd

    Yang, Ding / Li, Qingfeng / Fang, Hanxian et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Network–wide prediction of public transportation ridership using spatio–temporal link–level information

    Karnberger, Stephan / Antoniou, Constantinos | Elsevier | 2019
    Schlagwörter: Machine learning

    Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach

    Li, Shuang / Pu, Ziyuan / Cui, Zhiyong et al. | Elsevier | 2024
    Schlagwörter: Causal machine learning , Doubly robust learning

    Modeling train operation as sequences: A study of delay prediction with operation and weather data

    Huang, Ping / Wen, Chao / Fu, Liping et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Detecting transportation modes using smartphone data and GIS information: evaluating alternative algorithms for an integrated smartphone-based travel diary imputation

    Liu, Yicong / Miller, Eric / Habib, Khandker Nurul | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning , tree-based ensemble learning

    Trajectory tracking for autonomous vehicles on varying road surfaces by friction-adaptive nonlinear model predictive control

    Berntorp, K. / Quirynen, R. / Uno, T. et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: parameter learning

    Applying machine learning and google street view to explore effects of drivers’ visual environment on traffic safety

    Cai, Qing / Abdel-Aty, Mohamed / Zheng, Ou et al. | Elsevier | 2021
    Schlagwörter: Deep learning , Explainable machine learning

    Automatic generation of optimal road trajectory for the rescue vehicle in case of emergency on mountain freeway using reinforcement learning approach

    Freier Zugriff
    Yang, Jingwen / Wang, Ping / Yuan, Wubei et al. | Wiley | 2021
    Schlagwörter: Reinforcement learning

    Scour Depth Evaluation of a Bridge with a Complex Pier Foundation

    Liao, Kuo-Wei / Muto, Yasunori / Lin, Jhe-Yu | Springer Verlag | 2017
    Schlagwörter: machine learning

      Scour Depth Evaluation of a Bridge with a Complex Pier Foundation

      Liao, Kuo-Wei / Muto, Yasunori / Lin, Jhe-Yu | Online Contents | 2018
      Schlagwörter: machine learning

    Learning Speed Enhancement of Iterative Learning Control with Advanced Output Data based on Parameter Estimation

    Freier Zugriff
    Jeong, Gu-Min / Ji, Sang-Hoon | BASE | 2017
    Schlagwörter: iterative learning control , learning gain estimation

    Enhancing UAV Aerial Docking: A Hybrid Approach Combining Offline and Online Reinforcement Learning

    Freier Zugriff
    Yuting Feng / Tao Yang / Yushu Yu | DOAJ | 2024
    Schlagwörter: offline reinforcement learning , online reinforcement learning

    Inverse Kinematics Solution for Robot Manipulator based on Neural Network under Joint Subspace

    Freier Zugriff
    Feng, Yin / Yao-nan, Wang / Yi-min, Yang | BASE | 2014
    Schlagwörter: extreme learning machine

    DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending

    Dai, Xingyuan / Fu, Rui / Zhao, Enmin et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Commutation angle iterative learning control:enhancing piezo-stepper actuator waveforms

    Freier Zugriff
    Strijbosch, Nard / Tacx, P.J.M.M. / Verschueren, Edwin R.M. et al. | BASE | 2019
    Schlagwörter: Learning control

    Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping

    Freier Zugriff
    Cognolato, Matteo / Atzori, Manfredo / Gassert, Roger et al. | BASE | 2021
    Schlagwörter: deep learning , multi-modal machine learning

      Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping

      Freier Zugriff
      Cognolato, Matteo / Atzori, Manfredo / Gassert, Roger et al. | BASE | 2022
      Schlagwörter: Deep learning , Multi-modal machine learning

    Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies

    Aydin, Galip / Hallac, Ibrahim Riza / Karakus, Betul et al. | Tema Archiv | 2015
    Schlagwörter: maschinelles Lernen

    Keep it simple stupid! A non-parametric kernel regression approach to forecast travel speeds

    Nair, Rahul / Dekusar, Anton | Elsevier | 2019
    Schlagwörter: Machine learning

    Iterative Learning Control Algorithm for Feedforward Controller of EGR and VGT Systems in a CRDI Diesel Engine

    Min, Kyunghan / Sunwoo, Myoungho / Han, Manbae | Springer Verlag | 2018
    Schlagwörter: Learning control , Iterative learning control

    Deep Learning-Based Airspeed Estimation System for a Commercial Aircraft

    Freier Zugriff
    Uğur Kılıç | DOAJ | 2023
    Schlagwörter: machine learning , deep learning

    FedRDR: Federated Reinforcement Distillation-Based Routing Algorithm in UAV-Assisted Networks for Communication Infrastructure Failures

    Freier Zugriff
    Jie Li / Anqi Liu / Guangjie Han et al. | DOAJ | 2024
    Schlagwörter: reinforcement learning , federated learning

    Fahrzeug im Griff

    Tema Archiv | 1999
    Schlagwörter: Lernprozess

    An explainable machine learning approach to improve take-off time predictions

    Dalmau, Ramon / Ballerini, Franck / Naessens, Herbert et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Machine Learning for Precision Agriculture Using Imagery from Unmanned Aerial Vehicles (UAVs): A Survey

    Freier Zugriff
    Imran Zualkernan / Diaa Addeen Abuhani / Maya Haj Hussain et al. | DOAJ | 2023
    Schlagwörter: machine learning , deep learning

    Deep Reinforcement Learning with Corrective Feedback for Autonomous UAV Landing on a Mobile Platform

    Freier Zugriff
    Lizhen Wu / Chang Wang / Pengpeng Zhang et al. | DOAJ | 2022
    Schlagwörter: deep reinforcement learning , interactive learning

    Shipping market forecasting by forecast combination mechanism

    Gao, Ruobin / Liu, Jiahui / Du, Liang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    RL-ANN-Based Minimum-Current-Stress Scheme for the Dual-Active-Bridge Converter With Triple-Phase-Shift Control

    Freier Zugriff
    Tang, Yuanhong / Hu, Weihao / Xiao, Jian et al. | BASE | 2022
    Schlagwörter: Q-learning , reinforcement learning (RL)

    Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment

    Ye, Yingjun / Zhang, Xiaohui / Sun, Jian | Elsevier | 2019
    Schlagwörter: Deep reinforcement learning

    Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

    Freier Zugriff
    Furfaro R. / Scorsoglio A. / Linares R. et al. | BASE | 2020
    Schlagwörter: Deep reinfocement learning

    Energy recapture through deceleration – regenerative braking in electric vehicles from a user perspective

    Cocron, Peter / Bühler, Franziska / Franke, Thomas et al. | Tema Archiv | 2013
    Schlagwörter: Lernen

    Automated Identification and Classification of Plant Species in Heterogeneous Plant Areas Using Unmanned Aerial Vehicle-Collected RGB Images and Transfer Learning

    Freier Zugriff
    Girma Tariku / Isabella Ghiglieno / Gianni Gilioli et al. | DOAJ | 2023
    Schlagwörter: machine learning , transfer learning

    Integrated deep learning and stochastic car-following model for traffic dynamics on multi-lane freeways

    Lee, Seunghyeon / Ngoduy, Dong / Keyvan-Ekbatani, Mehdi | Elsevier | 2019
    Schlagwörter: Deep learning

    Vision-Based Deep Reinforcement Learning of UAV-UGV Collaborative Landing Policy Using Automatic Curriculum

    Freier Zugriff
    Chang Wang / Jiaqing Wang / Changyun Wei et al. | DOAJ | 2023
    Schlagwörter: deep reinforcement learning , automatic curriculum learning

    A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge

    Freier Zugriff
    Boschi, Anna / Salvetti, Francesco / Mazzia, Vittorio et al. | BASE | 2020
    Schlagwörter: deep learning

    Academic and social achievement goals: Their additive, interactive, and specialized effects on school functioning

    Liem, Gregory Arief D | Online Contents | 2016
    Schlagwörter: Learning , learning

    A Cognitive Robot Collaborative Reinforcement Learning Algorithm

    Freier Zugriff
    Amit Gil / Helman Stern / Yael Edan | BASE | 2009
    Schlagwörter: Robot learning , reinforcement learning

    Hub-and-spoke network design under congestion: A learning based metaheuristic

    Karimi-Mamaghan, Maryam / Mohammadi, Mehrdad / Pirayesh, Amir et al. | Elsevier | 2020
    Schlagwörter: Machine learning , Learning based Metaheuristics

    Steering in a Random Forest. Ensemble Learning for Detecting Drowsiness-Related Lane Departures

    McDonald, Anthony D. / Lee, John D. / Schwarz, Chris et al. | Tema Archiv | 2014
    Schlagwörter: maschinelles Lernen