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

351–400 von 698 Ergebnissen
|

    Planning Flexible Maintenance for Heavy Trucks using Machine Learning Models, Constraint Programming, and Route Optimization

    Biteus, Jonas / Lindgren, Tony | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Machine Learning Approach to Predict Bead Height and Width in Wire Arc Additive Manufacturing Sample

    Vincent, Akash / Natarajan, Harshavardhana | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Machine Learning with Decision Trees and Multi-Armed Bandits: An Interactive Vehicle Recommender System

    Meroux, Dominique / Mengshoel, Ole / Yu, Tong et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Control Model of Automated Driving Systems Based on SOTIF Evaluation

    Haifeng, Cui / Yu, Fan / Zhang, Kaijiong et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Distilled Routing Transformer for Driving Behavior Prediction

    Yi, Jiangang / Gao, Jun / Murphey, Yi Lu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Emotion Analytics for Advanced Driver Monitoring System

    Bhushan, Chandra / K, Gayathri / Manalikandy, Mithun et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Data-Driven Set Based Concurrent Engineering Method for Multidisciplinary Design Optimization

    Abe, Atsuji / Shintani, Kohei / Tsuchiyama, Minoru | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Fahrerverhaltensvorhersage an Kreisverkehren

    Freier Zugriff
    Zhao, Min / Käthner, David / Jipp, Meike | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2016
    Schlagwörter: Machine Learning

    Pedestrian Detection Method Based on Roadside Light Detection and Ranging

    Zhou, Bin / Liu, Pengfei / Liu, Wentao et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Multi-Modal Neural Feature Fusion for Pose Estimation and Scene Perception of Intelligent Vehicle

    Zhou, Aiguo / Pu, Jiakun / Yu, Jiangyang et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Reinforcement Learning Based Energy Management of Hybrid Energy Storage Systems in Electric Vehicles

    Hegde, Bharatkumar / Chang, Chen-Fang / Haskara, Ibrahim | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Surface EMG for Force Control of Mechanical Hands

    Freier Zugriff
    Castellini, Claudio / Smagt van der, Patrick / Sandini, Giulio et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2008
    Schlagwörter: machine learning

    MTCNN-KCF-deepSORT:Driver Face Detection and Tracking Algorithm Based on Cascaded Kernel Correlation Filtering and Deep SORT

    liao, Jiacai / Xia, Jiahao / Cao, Libo et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    “Fitting Data”: A Case Study on Effective Driver Distraction State Classification

    Zrazhevsky, Alexey / Kaber, David / Uryasev, Stan et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Predictive Gearbox Oil Temperature Using Machine Learning

    Gandi, Varaprasad | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Vehicle-Integrated Camera Based Rider Helmet Detection & Warning System

    Kishor, Kaushal / Tarte, Malay / Joshi, Umita | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Multi-Objective Bayesian Optimization Supported by Deep Gaussian Processes

    Tovar, Andres / Valladares, Homero | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Prediction of Optimized Design Under Dynamic Loads Using Kriging Metamodel

    Freiman, David / S, Siddesh / Nayak, Swarnendu Bikash | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Plenum Performance Predictive and Prescriptive Analytics Using Machine Learning and Meta-Heuristic Optimization

    Shanmugam, Balasubramanian / Tripathy, Biswajit / Garcia, Omar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Driver’s Response Prediction Using Naturalistic Data Set

    Guenther, Dennis / Heydinger, Gary / Lanka, Venkata Raghava Ravi | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Prediction of NOx Emissions from Compression Ignition Engines Using Ensemble Learning-Based Models with Physical Interpretability

    Panneer Selvam, Harish / Shekhar, Shashi / Northrop, William F. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Toward a Machine Learning Development Lifecycle for Product Certification and Approval in Aviation

    Brown, Barclay / Travers, Christophe / Gingins, Corinne et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Handling Deviation for Autonomous Vehicles after Learning from Small Dataset

    Peng, Gaoliang / Guo, Longxiang / Wang, Weitian et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Engine Combustion Hardware Diagnostics in an End-of-Line Cold Test Stand

    Guardiola, Carlos / Manzaneda, David / Baron, Pol et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction

    Borkar, Brijesh / Maria Francis, John Bosco / Arora, Pankaj | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    A Supervisory Learning Based Two-Wheeler Drive Pattern

    Ganesan, Anand / Jasti, Kiran / Banerjee, Soham et al. | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    Implementation and Validation of Behavior Cloning Using Scaled Vehicles

    Raman, Adhiti / Verma, Ankit / Schmid, Matthias et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Automated Expert Knowledge-Based Deep Reinforcement Learning Warm Start via Decision Tree for Hybrid Electric Vehicle Energy Management

    Xu, Bin / Wang, Hanchen / Zhang, Jiangfeng et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Design and Implementation of Digital Twin for Predicting Failures in Automobiles Using Machine Learning Algorithms

    Naiju, Chooriyaparambil Damodaran / Ramesh Babu, Kalivaradhan / Madiajagan, Muthaiyan et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Weighted Distance Metrics for Data Association Problem in Multi-Sensor Fusion

    Wang, Daihan / Zhang, Darui / Yang, Hang et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Policies to Maximize Fuel Economy of Plug-In Hybrids in a Rental Fleet

    Meroux, Dominique / Tal, Gil | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Multivariate Analysis and Index Forecast of Influencing Factors of Shanghai Municipal Domestic Waste Generation

    Shen, Na / Tu, Yun / Xiao, Zi Xin | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Building Responsibility in AI: Transparent AI for Highly Automated Vehicle Systems

    Minarcin, Monika | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Gesture Recognition in an IoT environment: a Machine Learning-based Prototype

    Freier Zugriff
    Fugini M. / Finocchi J. | BASE | 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

    Vehicle Forward Collision Warning Based on Improved Deep Neural Network

    Xue, Bingying / Zhou, Guilin / Li, Jie et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Localization of Intelligent Vehicles Based on LiDAR: A Review

    Zhang, Hongbin / Xue, Jinyin / Mao, Peipei et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Methodology to Recognize Vehicle Loading Condition - An Indirect Method Using Telematics and Machine Learning

    Raj Bob, Paul / Venugopal, Vaisakh / Nair, Vipin | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Machine Learning Based Instrument Cluster Inspection Using Camera

    Bose, Indranil / Bobade, Saloni / Anilkumar, Sandhya et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Material Recognition Technology of Internal Loose Particles in Sealed Electronic Components Based on Random Forest

    Jiang, Aiping / Wang, Guotao / Yan, Huizhen et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Personalized Human-Machine Cooperative Lane-Changing Based on Machine Learning

    Zhu, Bing / Zhao, Jian / Han, Jiayi | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Rain-Adaptive Intensity-Driven Object Detection for Autonomous Vehicles

    Radha, Hayder / Hnewa, Mazin | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Towards Self-Learning Energy Management for Optimal PHEV Operation Around Zero Emission Zones

    Lazovik, Elena / Kupper, Frank / Willems, Frank et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Neural Network Model to Predict the Thermal Operating Point of an Electric Vehicle

    Malik, Hafiz / Kolachalama, Srikanth | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Renewal Fuzzy Logic Energy Management System

    Ouyang, Qianyu | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    CAE Performance Prediction Using Machine Learning Model Based On Historical Data

    Rongali, Praveen / Tangudu, Srinivas Patro | SAE Technical Papers | 2021
    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

    A Real-Time Intelligent Speed Optimization Planner Using Reinforcement Learning

    Rousseau, Aymeric / Karbowski, Dominik / Han, Jihun et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning