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

1–50 von 121 Ergebnissen
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    Visual recognition of hexagonal headed bolts by comparing ICA to wavelets

    Mazzeo, P.L. / Ancona, N. / Stella, E. et al. | Tema Archiv | 2003
    Schlagwörter: maschinelles Sehen , Lernen

    Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking

    Salvi, Ameya / Buzhardt, Jake / Smereka, Jonathon M. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Vibration Rating Prediction Using Machine Learning in a Dynamic Skip Fire Engine

    Mandal, Aditya / Arvanitis, Anastasios / Chien, Li-Chun et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems

    Börger, Joachim / Häring, Jürgen / Palm, Günther | Tema Archiv | 2010
    Schlagwörter: maschinelles Lernen

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archiv | 2002
    Schlagwörter: Lernen , maschinelles Lernen

    Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors

    Pasqualon, Aurélie / Facteau, Elizabeth / Bultel, Etienne et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Unsettled Technology Opportunities for Vehicle Health Management and the Role for Health-Ready Components

    Holland, Steve | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Unconstrained licence plate and text localization and recognition

    Matas, J. / Zimmermann, K. | Tema Archiv | 2005
    Schlagwörter: Lernen , maschinelles Lernen

    Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation

    Ayyad, Ahmed / Prohm, Christopher / Hilbert, Marc et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Topological Optimization of Non-Pneumatic Unique Puncture-Proof Tire System Spoke Design for Tire Performance

    Rai, Beena / Dhrangdhariya, Priyankkumar / Maiti, Soumyadipta | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Tire Track Identification: A Method for Drivable Region Detection in Conditions of Snow-Occluded Lane Lines

    Goberville, Nicholas A. / Kadav, Parth / Asher, Zachary D. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    The role of autonomy in space exploration

    Smith, Benjamin D. | NTRS | 2001
    Schlagwörter: machine learning systems

    The Path to Safe Machine Learning for Automotive Applications

    Burton, Simon | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    The Missing Link: Developing a Safety Case for Perception Components in Automated Driving

    Huang, Chengjie / Kuwajima, Hiroshi / Yasuoka, Hirotoshi et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    THC Concentration Estimation Model using FTIR Spectrum

    Yabushita, Hirotaka / Nagaoka, Makoto / Yoshioka, Masaya et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Sustainable Aviation Operations and the Role of Information Technology and Data Science: Background, Current Status and Future Directions

    Banavar Sridhar / David Bell | NTRS | 2022
    Schlagwörter: Sustainable Aviation, Data Science, Machine Learning Techniques, Trustworthy AI

    Survey of learning control systems for space vehicle applications.

    Mendel, J. M. | NTRS | 1966
    Schlagwörter: LEARNING SYSTEM , MACHINE LEARNING

    Smart OTA Scheduling for Connected Vehicles using Prescriptive Analytics and Deep Reinforcement Learning

    Mohd Azmin, Farraen / Mustafa, Kenan | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Simulation of Telemetry Signals of a Car Using Machine Learning

    Revi, Krishna / Munet, Rahul / Vijaya Kumar, Santhosh Kumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Safety Assurance for Automated Driving Systems: Open Problems and Learnings from a Review of Other Domains

    Sarvi, Majid / Sweatman, Peter / Ballingall, Stuart | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Safety Assurance Concepts for Automated Driving Systems

    Sarvi, Majid / Sweatman, Peter / Ballingall, Stuart | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    RouteE: A Vehicle Energy Consumption Prediction Engine

    Holden, Jacob / Cappellucci, Jeff / Reinicke, Nicholas | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Robust servo-control for underwater robots using banks of visual filters

    Sattar, J. / Dudek, G. | Tema Archiv | 2009
    Schlagwörter: Lernen , maschinelles Sehen

    Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles

    Lv, Chen / Chen, Hao / He, Xiangkun | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Ride Comfort Improvement with Preview Control Semi-active Suspension System Based on Supervised Deep Learning

    Gu, Cansong / Shi, Chenlu / Su, Lili et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Research on Semi-active Air Suspensions of Heavy Trucks Based on a Combination of Machine Learning and Optimal Fuzzy Control

    Yuan, Huan / Zhou, Huaxiang / Nguyen, Vanliem | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Recurrent Neural Network Model for On-Board Estimation of the Side-Slip Angle in a Four-Wheel Drive and Steering Vehicle

    King, Julian / Fainello, Marco / Ballesio, Stefano et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning – A Statistical Approach

    V, Muralidharan / D, Pradeep Kumar / Santhanam, Ravikumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute

    Sarah Youlton / Alexandre Amblard / William J Coupe | NTRS
    Schlagwörter: Machine Learning

    Prognostics for Aerospace Propulsion Systems

    SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Prediction of Weather Impacted Airport Capacity using Ensemble Learning

    Wang, Yao Xun | NTRS | 2011
    Schlagwörter: Machine learning

    Prediction of Vehicle Cabin Occupant Thermal Comfort Using Deep Learning and Computational Fluid Dynamics

    Warey, Alok / Khalighi, Bahram / Venkatesan, Ganesh et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport

    Lee, Hanbong / Coupe, William J. / Jung, Yoon C. | NTRS | 2019
    Schlagwörter: machine learning

    Prediction of Engine-Out Emissions Using Deep Convolutional Neural Networks

    Warey, Alok / Gao, Jian / Grover, Ronald | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Prediction of Aircraft Estimated Time of Arrival Using A Supervised Learning Approach

    James Z Wells / Tejas G Puranik / Krishna M Kalyanam et al. | NTRS
    Schlagwörter: Machine learning

    Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning

    Adiel Felsen / Julie Nicely / Bryan Duncan | NTRS
    Schlagwörter: machine learning

    Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning

    Tejas G Puranik / Milad Memarzadeh / Krishna M Kalyanam | NTRS
    Schlagwörter: machine learning

    Physics-Based Misbehavior Detection System for V2X Communications

    Andrade Salazar, Alejandro Antonio / Petit, Jonathan / McDaniel, Patrick Drew et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Performance of the Machine Learning on Controlling the Pneumatic Suspension of Automobiles on the Rigid and Off-Road Surfaces

    Shiming, Li / Dengke, Ni / Nguyen, Vanliem et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Pattern recognition for nondestructive evaluation

    Amirfathi, M.M. / Morris, S. / O'Rorke, P. et al. | Tema Archiv | 1991
    Schlagwörter: SYMBOLIC MACHINE LEARNING ALGORITHM

    Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers

    Reddy, C. J. / Karuppuswami, Saranraj | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation

    Adler, Aviv / Miculescu, David / Karaman, Sertac | TIBKAT | 2020
    Schlagwörter: Machine learning

    Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose

    Pan, Haining / Lei, Zhenwu / Cui, Pingyuan et al. | Tema Archiv | 2009
    Schlagwörter: Lernen , maschinelles Sehen

    Next-Gen Maintenance Framework for Urban Air Mobility Vehicles

    Elahi, Imtiaz / Kadeppagari, Murali / Panicker, Renju et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Neurons that know how to drive

    Rosenblum, M. | Tema Archiv | 2000
    Schlagwörter: maschinelles Sehen , Lernen

    Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving

    Zhang, Dong / Wang, Guojun / Ni, Hailong et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Multi-Objective Classification of Three-Dimensional Imaging Radar Point Clouds: Support Vector Machine and PointNet

    Bai, Jie / Long, Kai / Dong, Lianfei et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Multi-agent Decision-Making Framework Based on Value Decomposition for Connected Automated Vehicles at Highway On-Ramps

    Wang, Jinzhu / Zhu, Xichan / Ma, Zhixiong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning