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

1–50 von 367 Ergebnissen
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    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 camera self-health-maintenance system based on sensor artificial intelligence

    Freier Zugriff
    Wischow, Maik / Gallego, Guillermo / Ernst, Ines et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning

    Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network

    Ma, Di / Zhang, Linxi / Yan, Xuke | SAE Technical Papers | 2022
    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 comprehensive review of trip generation models based on land use characteristics

    Mukherjee, Jaideep / Raghuram Kadali, B. | Elsevier | 2022
    Schlagwörter: Machine learning approaches

    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

    Adaptive human-robot policy blending for shared control teleoperation

    Freier Zugriff
    Oh, Yoojin | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Adaptive navigation of automated vehicles by image analysis techniques

    Tsai, W. / Chen, Y. | Tema Archiv | 1986
    Schlagwörter: MASCHINELLES SEHEN , PATH NETWORK LEARNING

    Adaptive Robotic Carving: Training Methods for the Integration of Material Performances in Timber Manufacturing

    Freier Zugriff
    Brugnaro, G / Hanna, S | BASE | 2019
    Schlagwörter: Machine Learning

    A Data Driven Simulation Model for Investigating Collision Avoidance Behavior of Pedestrians in Subway Stations

    Zhang, Zhe / Yan, ShuRong / Guo, JianYuan | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Adhering to Terrain Characteristics for Position Estimation of Mobile Robots

    Brunner, Michael / Schulz, Dirk / Cremers, Armin B. | Springer Verlag | 2011
    Schlagwörter: Machine learning

    A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop

    Ruperez lng, Adrián / Martinez, Aitor / Lopez, Blanca et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Advanced driver assistance system supporting routing and navigation for fully electric vehicles

    Demestichas, K. / Adamopoulou, E. / Masikos, M. et al. | Tema Archiv | 2012
    Schlagwörter: maschinelles Lernen

    Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches

    Wang, Chen / Atkison, Travis / Duan, Qiuhua | Springer Verlag | 2024
    Schlagwörter: Deep Learning , Machine Learning

    A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning

    Yi Lu / Tie Qi Chen / Hamilton, B. | Tema Archiv | 2000
    Schlagwörter: maschinelles Lernen

    AI/Ml Assurance

    G. Brat / K. Ellis / S. Brandt | NTIS | 2024
    Schlagwörter: Machine learning

    AI/Ml Assurance

    G. Brat / K. Ellis / S. Brandt | NTRS
    Schlagwörter: Machine Learning

    Airborne Systems and Underwater Monitoring

    Basha, Elizabeth / To‐Tran, Jason / Young, Davis et al. | Wiley | 2021
    Schlagwörter: machine learning

    A Machine Learning Approach to Predict Aircraft Landing Times using Mediated Predictions from Existing Systems

    Dan Wesely / Andrew Churchill / John Slough et al. | NTRS | 2021
    Schlagwörter: Machine learning

    A Machine Learning Approach to Predict Aircraft Landing Times using Mediated Predictions from Existing Systems

    Dan Wesely / Andrew Churchill / John Slough et al. | NTRS | 2021
    Schlagwörter: Machine learning

    A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

    Liu, Ruoqian | Online Contents | 2015
    Schlagwörter: Machine learning

    A methodology for photometric validation in vehicles visual interactive systems

    Faria, A.W.C. / Menotti, D. / Pappa, G.L. et al. | Tema Archiv | 2012
    Schlagwörter: Lernen , maschinelles Lernen

    A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything

    Liu, Sheng / Elangovan, Vivekanandh / Xiang, Weidong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Analysis and estimation of energy consumption of electric buses using real-world data

    Zhang, Zhaosheng / Ye, Baolin / Wang, Shuai et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Analysis and Interpretation of Data-Driven Closure Models for Large Eddy Simulation of Internal Combustion Engine

    Daly, Conor / Schmidt, David / Haghshenas, Majid et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Analysis of Direct Interplanetary Transfers Using Solar-Electric Propulsion

    Choudhury, Suchismita / Dutt, Pooja / Negi, Deepak et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    An architectural framework for self-configuration and self-improvement at runtime

    Tomforde, Sven | Tema Archiv | 2011
    Schlagwörter: maschinelles Lernen

    An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms

    Arthur D. Wiedemann / Christopher Fuller / Kyle Pascioni | NTRS
    Schlagwörter: machine learning

    An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection

    Sai Charan, Kovuru | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    An Electric Vehicle Transitioning Framework for Public Fleet Planning

    Er Raqabi, El Mehdi / Li, Wenkai | Elsevier | 2023
    Schlagwörter: Machine Learning

    An Evaluation of an Unhealthy Part Identification Using a 0D-1D Diesel Engine Simulation Based Digital Twin

    Sureka, Britant / Saurabh, Shakti | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A New Optimal Design of Stable Feedback Control of Two-Wheel System Based on Reinforcement Learning

    Zhu, Xuebin / Yu, Zhenghong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A new scheme for vision based flying vehicle detection using motion flow vectors classification

    Taimori, Ali / Behrad, Alireza / Sabouri, Samira | Tema Archiv | 2009
    Schlagwörter: maschinelles Sehen , Lernen

    An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network

    Bharathi, S. / Durgadevi, P. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments

    Timothy Darrah / Jeremy Frank / Marcos Quiñones-Grueiro et al. | NTRS | 2024
    Schlagwörter: Machine Learning

    A Novel Approach to Light Detection and Ranging Sensor Placement for Autonomous Driving Vehicles Using Deep Deterministic Policy Gradient Algorithm

    Berens, Felix / Ambs, Jordan / Reischl, Markus et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Application of a Digital Twin Virtual Engineering Tool for Ground Vehicle Maintenance Forecasting

    Wagner, Adam / Eddy, Conner / Wagner, JOHN et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Applications of Machine Learning to Flight Dynamics Operations

    Slojkowski, Steven / Getchius, Joel / Michaels, Adam et al. | NTRS | 2018
    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

    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

    A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents

    Liao, Xishun / Wu, Guoyuan / Yang, Lan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    A Review and Outlook on Energy Consumption Estimation Models for Electric Vehicles

    Dubey, Abhishek / Laszka, Aron / Wu, Guoyuan et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning