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1–50 von 698 Ergebnissen
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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

    3D vehicle sensor based on monocular vision

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

    Acceptance of Smart Automated Comfort Functionalities in Vehicles

    Guinea, Maria / Stang, Marco / Nitsche, Irma et al. | TIBKAT | 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 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 Recurrent Neural Network Architectures for Battery Voltage Prediction

    ZHU, DI / Cho, Gyouho / Campbell, Jeffrey | SAE Technical Papers | 2021
    Schlagwörter: Machine 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 Between a Two-Feedback Control Loop and a Reinforcement Learning Algorithm for Compliant Low-Cost Series Elastic Actuators

    Freier Zugriff
    Sanfilippo, Filippo / Tuan Minh, Hua / Bos, Steven | BASE | 2020
    Schlagwörter: machine learning , reinforcement 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 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

    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 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

    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

    Adaptive Deep Learning through Visual Domain Localization

    Freier Zugriff
    Gabriele Angeletti / Barbara Caputo / Tatiana Tommasi | BASE | 2018
    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

    A Decision-Making Method for Connected Autonomous Driving Based on Reinforcement Learning

    Zhang, Mingheng / Lv, Xinfei / Wan, Xing et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Deep Ensemble Network Model for Refined Traffic Volume Prediction Considering Spatial-Temporal Features

    Tao, Lu / Zhou, Tian / Liu, Wan et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Deep Learning-Based Strategy to Initiate Diesel Particle Filter Regeneration

    Roettger, Daniel / De Smet, Frederik / Fan, Ke et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Diagnostic Technology of Powertrain Parts that Cause Abnormal Noises Using Artificial Intelligence

    Lee, Dongchul / Yoo, Dongkyu / Jung, Insoo et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Digital Forensic Method to Detect Object based Video Forgery Security Attacks on Surround View ADAS Camera System

    Karki, Maya / S M, Sarala | SAE Technical Papers | 2021
    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

    Adjoint-Based Model Tuning and Machine Learning Strategy for Turbulence Model Improvement

    Ren, Chao / Wu, Haibo / Zhou, Hua et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Adult2child: Motion Style Transfer using CycleGANs

    Freier Zugriff
    Yuzhu Dong / Andreas Aristidou / Ariel Shamir et al. | BASE | 2020
    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

    Advanced Modelling of Frequency Dependent Damper Using Machine Learning Approach for Accurate Prediction of Ride and Handling Performances

    Thanapati, Alok Ranjan / Anthonysamy, Baskar / Deshmukh, Chandrakant Ramrao et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Aeroengine Gas Path Parameter Trend Prediction Based on LSTM

    Zhou, Qifeng / Chen, Xiaonan / Qing, Xinlin et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A European Study to identify Key Operational Parameters for ATFM Routing Decisions

    Freier Zugriff
    Derra, Manuel / Lau, Alexander / Gollnick, Volker | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Machine Learning

    A Forward Collision Warning System Using Deep Reinforcement Learning

    Dargahi, Javad / Zadeh, Mehrdad / Fekri, Pedram et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Framework for Benchmarking Feedback-Based Dynamic Data Collection Methods in Connected Vehicle Networks

    Sahin, Alp / Zeng, Xiangrui | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Fuzzy System for Automotive Fault Diagnosis

    Hamilton, Brennan / Chen, Tie-Qi / Lu, Yi | SAE Technical Papers | 1998
    Schlagwörter: Machine learning

    A hierarchical AI-based control plane solution for multi-technology deterministic networks

    Freier Zugriff
    Pietro G. Giardina / Giacomo Bernini / Jose Luis Carcel et al. | BASE | 2023
    Schlagwörter: Machine Learning

    A Hybrid Classification of Driver’s Style and Skill Using Fully-Connected Deep Neural Networks

    Hu, Hongyu / Liu, Jiarui / Hu, Ruofei | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Hybrid Method for Automotive Entity Recognition

    Manalikandy, Mithun / Sivaraman, Navya K / Koduri, Rajesh | SAE Technical Papers | 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

    A Hyper-solution Framework for SVM Classification: Improving Damage Detection on Helicopter Fuselage Panels

    Candelieri, Antonio / Sormani, Raul / Arosio, Gaia et al. | Tema Archiv | 2013
    Schlagwörter: maschinelles Lernen

    AI-Based Rotation Aware Detection of Aircraft and Identification of Key Features for Collision Avoidance Systems (SAE Paper 2022-01-0036)

    Kwasniewska, Alicja / MacAllister, Anastacia / Gamba, David et al. | SAE Technical Papers | 2022
    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

    AI, Robotics and Automation meet Archaeology

    Freier Zugriff
    Verhoeven, Geert Julien | BASE | 2018
    Schlagwörter: Deep learning , Machine learning

    Algorithms storage system

    Lopera, L.I. | Tema Archiv | 2007
    Schlagwörter: Lernen , maschinelles Lernen , verstärktes Lernen

    A Machine Learning Approach for Automating Software Code Review

    Taggarsi, Bhavana Mohan / Kameshwari Prasad Dev, M / Hossain, Shadab | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A Machine Learning Approach for Hydrogen Internal Combustion (H2ICE) Mixture Preparation

    Jose, Alen / Probst, Daniel / Biware, Mukul | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    A Machine Learning Approach for Tracking the Torque Losses in Internal Gear Pump - AC Motor Units

    Freier Zugriff
    Ali, Emad / Weber, Jürgen / Wahler, Matthias | BASE | 2016
    Schlagwörter: Machine learning algorithms

    A Machine Learning Approach for Vibration Signal Based Fault Classification on Hydraulic Braking System through C4.5 Decision Tree Classifier and Logistic Model Tree Classifier

    A, Joshuva / Subramaniam, Mohankumar / Selvaraju, Nandakumar et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Machine Learning Approach in the Design of Friction Materials for Automotive Applications: Correlation among Composition, Process Parameters and Functional Characteristics

    Portesani, Alberto / Busso, Massimo / Regis, Pierluigi et al. | SAE Technical Papers | 2006
    Schlagwörter: Machine learning