Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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    1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks

    Koushik Chennakesavan / Magnus A. Haw / Alexandre Quintart | NTRS
    Schlagwörter: Machine learning

      1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks

      Koushik Chennakesavan / Magnus A. Haw / Alexandre Quintart | NTRS
      Schlagwörter: Machine learning

    1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks

    Koushik Chennakesavan / Magnus A Haw / Alexandre Quintart | NTRS
    Schlagwörter: Machine learning

    3D Reconstruction by Pretrained Features and Visual-Inertial Odometry

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

    3D vehicle sensor based on monocular vision

    Ponsa, D. / Lopez, A. / Lumbreras, F. et al. | Tema Archiv | 2005
    Schlagwörter: maschinelles Sehen , Lernen

    1995 Science Information Management and Data Compression Workshop

    J. C. Tilton | NTIS | 1995
    Schlagwörter: Machine 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 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 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 BO-LSTM-Based Rapid Evaluation Method of PCCP Structural Safety under Falling Rock Impacts

    Cheng, Lin / Mao, Haoran / Zhang, Yuheng et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    A Brief Survey of Sim2Real Methods for Robot Learning

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

    Abschlussbericht zum Projekt: Hybride Statistische Lernmethoden für die Embedded-Umsetzung von Sicherheitsfunktionen im Fahrzeug (HySLEUS) der Technischen Hochschule Ingolstadt : Projektlaufzeit: 17.11.2014-31.01.2018

    Botsch, Michael / Chaulwar, Amit / Technische Hochschule Ingolstadt, Zentrum für Angewandte Forschung | TIBKAT | 2018
    Schlagwörter: Maschinelles Lernen

    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

    Acceptance of Smart Automated Comfort Functionalities in Vehicles

    Guinea, Maria / Stang, Marco / Nitsche, Irma et al. | TIBKAT | 2021
    Schlagwörter: Machine 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

    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 Combined Markov Chain and Reinforcement Learning Approach for Powertrain-Specific Driving Cycle Generation

    Dietrich, Maximilian / Sarkar, Mouktik / Chen, Xi | SAE Technical Papers | 2020
    Schlagwörter: Machine 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 Longitudinal Vehicle Control Systems in Vehicle-to-Infrastructure Connected Corridor

    Fitzpatrick, Benjamin / King, Brian / Yoon, Hwan-Sik et al. | SAE Technical Papers | 2023
    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 Classification for Color-based Safety Vest Detection on Construction-Site Images

      Seong, Hyeonwoo / Son, Hyojoo / Kim, Changwan | Online Contents | 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 of Recurrent Neural Network Architectures for Battery Voltage Prediction

    ZHU, DI / Cho, Gyouho / Campbell, Jeffrey | SAE Technical Papers | 2021
    Schlagwörter: Machine 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

    A Comparative Study with J48 and Random Tree Classifier for Predicting the State of Hydraulic Braking System through Vibration Signals

    Gopalan, Anitha / Arockia Dhanraj, Joshuva / Subramaniam, Mohankumar et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Comparison Study of Font Reconstruction Using Differential Evolution

    Yahya, N. Roslan. Z. R. / Muhamad, W. Z. A. W. / Rusdi, N. A. | TIBKAT | 2021
    Schlagwörter: Machine 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 Comparison Study on Control Strategies for Optimization of an Anti-Lock Brake System Algorithm Based on Tire Force Measurement in Pure and Combined Slip Conditions of an Automobile

    Mehta, Harshal Piyush / Maurya, Mithilesh / Shaikh, Parvez Shagir et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Comprehensive Analysis of Methods to Write Requirements for Machine Learning Components used in Autonomous Vehicles

    Gil Batres, Andrea / Avalos Gonzalez, Carlos / Krishnamoorthy, Jayalekshmi et al. | SAE Technical Papers | 2023
    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 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

    Acoustic Model Reduction for the Design of Acoustic Treatments

    Poulos, Athanasios / Jacqmot, Jonathan / Kayvantash, Kambiz et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Acoustic Monitoring of Rail Faults in the German Railway Network

    Pieringer, Astrid / Stangl, Matthias / Rothhämel, Jörg et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Acoustic sleepiness analysis - using speech input from driver assistance systems for the phonetic detection of critical driver states

    Krajewski, J. / Sommer, D. / Schupp, T. et al. | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

    A Crack Detection Method for Self-Piercing Riveting Button Images through Machine Learning

    Freis, Amanda / Huff, Garret / Huang, Li et al. | SAE Technical Papers | 2020
    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

    A critical review on the state-of-the-art and future prospects of machine learning for Earth observation operations

    Miralles, Pablo / Thangavel, Kathiravan / Fulvio Scannapieco, Antonio et al. | Elsevier | 2023
    Schlagwörter: Machine Learning , Deep Learning , Reinforcement Learning , Learning Vector Quantization , DEpendable and Expandable Learning , Deep Reinforcement Learning

    Active-Learning Method: An Effective Way to Generate Ground Truth Data to Test & Validate ADAS Function Development

    Kumari, Anita / Katariya, Rashmi | SAE Technical Papers | 2024
    Schlagwörter: Machine learning