Synonyme wurden verwendet für: Maschinelles Lernen
Suche ohne Synonyme: keywords:("Maschinelles Lernen")

1–50 von 154 Ergebnissen
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    Entwurf einer modellprädiktiven Regelung zur Klimatisierung batterieelektrischer Fahrzeuge durch Verfahren des maschinellen Lernens

    Engel, Peter / Technische Universität Clausthal / Verlag Dr. Hut | SLUB | 2021
    Schlagwörter: Maschinelles Lernen

    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

    Gain Customer Insights Using NLP Techniques

    Gokul, K. / Akella, Kanna / Choi, Keunho et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Machine Learning Models for Predicting Grinding Wheel Conditions Using Acoustic Emission Features

    Mouli, D.S.B. / Rameshkumar, K. / Shivith, K. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Predictive Modeling of Aircraft Dynamics Using Neural Networks

    Tullock, Charles / Khosla, Deepak / Hung, Fan et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Preliminary evidence of dynamic muscular synergies in human grasping

    Freier Zugriff
    Castellini, Claudio / van der Smagt, Patrick | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2011
    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

    Multi-part Analysis and Techniques for Air Traffic Speech Recognition

    Srinivasan, Narayanan / Balasundaram, S. R. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona

    Cottam, Adrian / Li, Xiaofeng / Ma, Xiaobo et al. | ASCE | 2024
    Schlagwörter: Machine learning

    Modeling Weather Impact on Ground Delay Programs

    Kulkarni, Deepak / Wang, Yao | SAE Technical Papers | 2011
    Schlagwörter: Machine learning

    Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations

    Shi, Dachuan / Ye, Yunguang / Gillwald, Marco et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm

    Lee, Seok Bong / Suh, Kyung-Duck | Online Contents | 2019
    Schlagwörter: machine learning

    Sensitivity Analysis and Optimization for a Trainer Aircraft Configuration

    Subrahmanya, M. B. / Suman, V. K. / Kaushik, K. N. et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Optimal Impulsive Maneuver Planning for Station Acquisition of Geosynchronous Satellites

    Srivatsa, M. R. / Singh, Gurpreet | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning

    Yoon, Hwan-Sik / Yao, Zhengyu | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    AI-Based Virtual Sensing of Gaseous Pollutant Emissions at the Tailpipe of a High-Performance Vehicle

    Brusa, Alessandro / Petrone, Boris / Giovannardi, Emanuele et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Sensitivity Analysis of Reinforcement Learning-Based Hybrid Electric Vehicle Powertrain Control

    Yoon, Hwan-Sik / Olson, Jordan / Yao, Zhengyu | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty

    Victoria R Rodrigues / Mudit Paliwal / Nicholas J Napoli et al. | NTRS | 2021
    Schlagwörter: machine learning

    A Hybrid System and Method for Estimating State of Charge of a Battery

    Gogate, Aditya / Chakraborty, Debango / Ghivari, Mahesh et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach

    Rameshkumar, K. / Kochukrishnan, Praveen / Srihari, S. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Prognostics and Machine Learning to Assess Embedded Delamination Tolerance in Composites

    Dattaguru, B. / Nambisan, Savitha Narayanan | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine Learning-Aided Management of Motorway Facilities Using Single-Vehicle Accident Data

    Alawad, Hamad / Saito, Motoyasu / Kaewunruen, Sakdirat et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

    Gui, Guoqing / Pan, Hong / Lin, Zhibin et al. | Springer Verlag | 2017
    Schlagwörter: support vector machine learning

      Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

      Gui, Guoqing / Pan, Hong / Lin, Zhibin et al. | Online Contents | 2017
      Schlagwörter: support vector machine learning

    Spreadsheet Calculators for Stability Number of Armor Units Based on Artificial Neural Network Models

    Kim, In-Chul / Suh, Kyung-Duck | Springer Verlag | 2019
    Schlagwörter: machine learning

      Spreadsheet Calculators for Stability Number of Armor Units Based on Artificial Neural Network Models

      Kim, In-Chul / Suh, Kyung-Duck | Online Contents | 2019
      Schlagwörter: machine learning

    Incremental learning for motion prediction of pedestrians and vehicles

    Vasquez Govea, Alejandro Dizan | SLUB | 2010
    Schlagwörter: Maschinelles Lernen

    Analyzing injury severity of motorcycle at-fault crashes using machine learning techniques, decision tree and logistic regression models

    Freier Zugriff
    Mahdi Rezapour / Amirarsalan Mehrara Molan / Khaled Ksaibati | DOAJ | 2020
    Schlagwörter: Machine learning techniques

    A Review of Intelligence-Based Vehicles Path Planning

    Hao, Bing / Zhao, JianShuo / Wang, Qi | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine Learning Tabulation Scheme for Fast Chemical Kinetics Computation

    Ebrahimi, Khashayar / Patidar, Lalit / Fogla, Navin et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Predicting the traction power of metropolitan railway lines using different machine learning models

    Pineda-Jaramillo, J. / Martínez-Fernández, P. / Villalba-Sanchis, I. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Machine Learning

    An optimized metamodel for predicting damage and oil outflow in tanker collision accidents

    Freier Zugriff
    Das, Tanmoy / Goerlandt, Floris / Tabri, Kristjan | SAGE Publications | 2022
    Schlagwörter: machine learning

    An Unsupervised Machine-Learning Technique for the Definition of a Rule-Based Control Strategy in a Complex HEV

    Spessa, Ezio / Venditti, Mattia / Finesso, Roberto | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding

    Rothwell, Benjamin / Rengasamy, Divish / Figueredo, Grazziela P. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Using supervised machine learning algorithms in pavement degradation monitoring

    Freier Zugriff
    Amir Shtayat / Sara Moridpour / Berthold Best et al. | DOAJ | 2023
    Schlagwörter: Machine Learning

    A Machine Learning-Genetic Algorithm (ML-GA) Approach for Rapid Optimization Using High-Performance Computing

    Moiz, Ahmed Abdul / Probst, Daniel / Kodavasal, Janardhan et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Review of Advanced Driver Assistance Systems and Their Applications for Collision Avoidance in Urban Driving Scenario

    Narkhede, Manish M. / Chopade, Nilkanth B. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Machine Learning

    Misfire Detection Technology with Deep Neural Network Based on Ignition Coil Signals

    Jitsu, Hideo / Kumano, Kengo / Amaya, Kenji et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Reduced-Order Modeling Framework for Simulating Signatures of Faults in a Bladed Disk

    Agrawal, Atul / Roy Mahapatra, Debiprosad / Singh, Divya Shyam | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine-Learning-Based Emission Models in Gasoline Powertrains—Part 2: Virtual Carbon Monoxide

    Sharpe, Conner / Kubinski, David / Shahabi, Mehrdad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Automatic clustering-based approach for train wheels condition monitoring

    Mosleh, Araliya / Meixedo, Andreia / Ribeiro, Diogo et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    Supervised Learning Classification Applications in Fault Detection and Diagnosis: An Overview of Implementations in Unmanned Aerial Systems

    Francis, Clovis / Attieh, Hadi / Shraim, Hassan et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Automatic topics extraction from crowdsourced cyclists near-miss and collision reports using text mining and Artificial Neural Networks

    Freier Zugriff
    Keneth Morgan Kwayu / Valerian Kwigizile / Kevin Lee et al. | DOAJ | 2022
    Schlagwörter: Machine learning

    Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem

    Assi, Khaled / Ratrout, Nedal / Nemer, Ibrahim et al. | ASCE | 2023
    Schlagwörter: Machine learning

    Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification

    Aboah, Armstrong / Adu-Gyamfi, Yaw / Gursoy, Senem Velipasalar et al. | ASCE | 2023
    Schlagwörter: Machine learning

    Prediction of lateral confinement coefficient in reinforced concrete columns using M5′ machine learning method

    Naeej, Mojtaba / Bali, Meysam / Naeej, Mohamad Reza et al. | Springer Verlag | 2013
    Schlagwörter: M5’ machine learning method

      Prediction of lateral confinement coefficient in reinforced concrete columns using M5′ machine learning method

      Naeej, Mojtaba / Bali, Meysam / Naeej, Mohamad Reza et al. | Online Contents | 2013
      Schlagwörter: M5’ machine learning method

    A reinforcement learning model for personalized driving policies identification

    Freier Zugriff
    Dimitris M. Vlachogiannis / Eleni I. Vlahogianni / John Golias | DOAJ | 2020
    Schlagwörter: Machine learning

    Machine Learning-Based Turbine Vane Position Estimation for Advanced Engine Airpath Control

    Subramaniam, C.K. / Venkobarao, Vivek / Kopold, Richard et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Time-Saving Methodology for Optimizing a Compression Ignition Engine to Reduce Fuel Consumption through Machine Learning

    Arab, Majid / Rahnama, Pourya / Reitz, Rolf D. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Date Estimation in the Wild Dataset

    Freier Zugriff
    Müller, Eric / Springstein, Matthias / Ewerth, Ralph | DataCite | 2017
    Schlagwörter: Machine Learning

    Vibration-based Damage Detection in Bridges via Machine Learning

    Sun, Shuang / Liang, Li / Li, Ming et al. | Springer Verlag | 2018
    Schlagwörter: machine learning

      Vibration-based Damage Detection in Bridges via Machine Learning

      Sun, Shuang / Liang, Li / Li, Ming et al. | Online Contents | 2018
      Schlagwörter: machine learning

    Self-Learning Control Strategy for Electrified Off-Highway Machines to Optimize Energy Efficiency

    Pohlandt, Christian / Geimer, Marcus | SAE Technical Papers | 2015
    Schlagwörter: Machine learning