Synonyme wurden verwendet für: Lernen maschinelles Lernen
Suche ohne Synonyme: keywords:(maschinelles Lernen)

1–45 von 45 Ergebnissen
|

    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

    Machine learning algorithms in ship design optimization

    Peri, Daniele | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Modeling the impact of COVID-19 on transportation at later stage of the pandemic: A case study of Utah

    Gong, Yaobang / Isom, Tanner / Lu, Pan et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Learning Drivers’ Behavior to Improve Adaptive Cruise Control

    Rosenfeld, Avi / Bareket, Zevi / Goldman, Claudia V. et al. | Taylor & Francis Verlag | 2015
    Schlagwörter: Machine Learning

    Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network

    Taleongpong, Panukorn / Hu, Simon / Jiang, Zhoutong et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Sensitivity analysis of driving event classification using smartphone motion data: case of classifier type, sensor bundling, and data acquisition rate

    Sarteshnizi, Iman Taheri / Tavakkoli Khomeini, Farbod / Khedri, Borna et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Characterizing aircraft wake vortex position and strength using LiDAR measurements processed with artificial neural networks

    Freier Zugriff
    Wartha, Niklas Louis / Stephan, Anton / Holzäpfel, Frank et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning

    An automatic methodology to measure drivers’ behavior in public transport

    Catalán, Hernán / Lobel, Hans / Herrera, Juan Carlos | Taylor & Francis Verlag | 2024
    Schlagwörter: 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

    Using kinematic driving data to detect sleep apnea treatment adherence

    McDonald, Anthony D. / Lee, John D. / Aksan, Nazan S. et al. | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning

    Estimating the effect of biofouling on ship shaft power based on sensor measurements

    Freier Zugriff
    Bakka, Haakon / Rognebakke, Hanne / Glad, Ingrid et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Traffic Safety at German Roundabouts—A Replication Study

    Freier Zugriff
    Leich, Andreas / Fuchs, Julian / Srinivas, Gurucharan et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Arterial corridor travel time prediction under non-recurring conditions

    Shafiei, Sajjad / Wang, Eileen / Grzybowska, Hanna et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Estimating cycle-level real-time traffic movements at signalized intersections

    Mahmoud, Nada / Abdel-Aty, Mohamed / Cai, Qing et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Detection and Classification of Vehicles by Measurement of Road-Pavement Vibration and by Means of Supervised Machine Learning

    Stocker, Markus / Silvonen, Paula / Rönkkö, Mauno et al. | Taylor & Francis Verlag | 2016
    Schlagwörter: Machine Learning

    Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography

    Freier Zugriff
    Sierotowicz, Marek / Brusamento, Donato / Schirrmeister, Benjamin et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Multimode trip information detection using personal trajectory data

    Yang, Fei / Yao, Zhenxing / Cheng, Yang et al. | Taylor & Francis Verlag | 2016
    Schlagwörter: machine learning algorithm

    Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features

    Khan, Md Nasim / Das, Anik / Ahmed, Mohamed M. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework

    Guo, Fangce / Krishnan, Rajesh / Polak, John | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning method

    Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic

    Yuksel, A. S. / Atmaca, S. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Prediction of fatigue failure in small-scale butt-welded joints with explainable machine learning

    Freier Zugriff
    Braun, Moritz / Kellner, Leon / Schreiber, Sarah et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Fatigue life predictionWelded joints Fatigue strength Machine learning models explainable AIgradient boosted trees SHAP

    Learning To Recognize Driving Patterns For Collectively Characterizing Electric Vehicle Driving Behaviors

    Lee, Chung-Hong / Wu, Chih-Hung | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Algorithm for Detecting the Critical Elements of Airborne Radar Systems Based on Operational Analysis of Diagnostic Information Time Series

    Shevtsov, V. A. / Timoshenko, A. V. / Perlov, A. Yu. et al. | Springer Verlag | 2022
    Schlagwörter: machine learning

    Identifying traffic conditions from non-traffic related sources

    Chamby-Diaz, Jorge C. / Estevam, Rhuam Sena / Bazzan, Ana L. C. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning

    A human-centric machine learning based personalized route choice prediction in navigation systems

    Sun, Bingrong / Gong, Lin / Shim, Jisup et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Drowsy behavior detection based on driving information

    Wang, M. S. / Jeong, N. T. / Kim, K. S. et al. | Springer Verlag | 2016
    Schlagwörter: Ensemble machine learning method

    Development of a Light and Accurate Nox Prediction Model for Diesel Engines Using Machine Learning and Xai Methods

    Park, Jeong Jun / Lee, Sangyul / Shin, Seunghyup et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    A data-driven method for flight time estimation based on air traffic pattern identification and prediction

    Yang, Chunwei / Zhang, Junfeng / Gui, Xuhao et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Propeller optimization by interactive genetic algorithms and machine learning

    Freier Zugriff
    Gypa, Ioli / Jansson, Marcus / Wolff, Krister et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions

    Jung, Sungpil / Lee, Junhee | Springer Verlag | 2024
    Schlagwörter: Machine learning

    A Review of Optimal Energy Management Strategies Using Machine Learning Techniques for Hybrid Electric Vehicles

    Song, Changhee / Kim, Kiyoung / Sung, Donghwan et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data

    Zhang, Zihe / Nie, Qifan / Liu, Jun et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Development of a Machine Learning Based Fast Running Model to Determine Rapidly the Process Conditions in Drawing Process

    Cho, Donghyuk / Lee, Youngseog | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions

    Chelbi, Nacer Eddine / Gingras, Denis / Sauvageau, Claude | Taylor & Francis Verlag | 2022
    Schlagwörter: ensemble and machine learning

    Road Type Identification Ahead of the Tire Using D-CNN and Reflected Ultrasonic Signals

    Kim, Min-Hyun / Park, Jongchan / Choi, Seibum | Springer Verlag | 2021
    Schlagwörter: Machine-learning

    Prediction of Driver’s Drowsiness Using Machine Learning Algorithms for Minimal Risk Condition

    Nam, Deok Ho / Kim, Gyeong Pil / Baek, Keon Hee et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning algorithms

    Filtered Integral Formulation of the Sparse Model Identification Problem

    Guého, Damien / Singla, Puneet / Majji, Manoranjan et al. | AIAA | 2021
    Schlagwörter: Machine Learning

    SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models

    Koushik, Anil / Manoj, M. / Nezamuddin, N. | Springer Verlag | 2024
    Schlagwörter: Deep learning , Machine learning

    Statistical Characterization of Stress Concentrations along Butt Joint Weld Seams Using Deep Neural Networks

    Freier Zugriff
    Braun, Moritz / Neuhäusler, Josef / Denk, Martin et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: machine learning

    Machine-Learning-Assisted Optimization of Aircraft Trajectories Under Realistic Constraints

    Xu, Yifan / Wandelt, Sebastian / Sun, Xiaoqian et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Simulation-driven design of a fast monohull

    Freier Zugriff
    Harries, Stefan / Ahmed, Osama / Uharek, Sebastian | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning (ML)

    Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning

    Moon, Seokho / Lee, Jinhee / Kim, Hyung Jun et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Airspace Sector Redesign Based on Voronoi Diagrams

    Xue, Min | AIAA | 2009
    Schlagwörter: Machine Learning

    Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings

    Boussemart, Yves / Cummings, Mary L. / Fargeas, Jonathan Las et al. | AIAA | 2011
    Schlagwörter: Machine Learning