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

1–50 von 110 Ergebnissen
|

    Vehicular Networks and Autonomous Driving Cars

    Seon Hong, Choong / Khan, Latif U. / Chen, Mingzhe et al. | Springer Verlag | 2021
    Schlagwörter: Machine Learning

    Vehicle Detection in Indian Traffic Using an Anchor-Free Object Detector

    Deshmukh, Prashant / Kadha, Vijayakumar / Rayasam, Krishna Chaitanya et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Schlagwörter: Unsupervised learning , Machine learning

    UAV Trajectory Optimization and Choice for UAV Placement for Data Collection in Beyond 5G Networks

    Shehzad, Muhammad K. / Hassan, Syed Ali / Luque-Nieto, Miguel Angel et al. | Springer Verlag | 2022
    Schlagwörter: Unsupervised learning

    UAV Trajectory and Phase Shift Design for IRS-Assisted UAV Data Collection: A Deep Reinforcement Learning Approach

    Wang, Zhandong / Peng, Liang / Han, Jinling et al. | Springer Verlag | 2024
    Schlagwörter: Deep reinforcement learning (DRL)

    UAV Path Planning Based on Reinforcement Learning for Fair Resource Allocation in UAV-Relayed Cellular Networks

    Lee, Wooyeob / Park, Gyubong / Joe, Inwhee | Springer Verlag | 2019
    Schlagwörter: Reinforcement learning

    Traffic Sign Detection and Recognition Using Deep Learning Approach

    Rahman, Umma Saima / Maruf | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Traffic Sign Detection and Recognition

    Pillai, Preeti S. / Kinnal, Bhagyashree / Pattanashetty, Vishal et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Traffic Signal Optimization Method for Urban Intersections with Low Fuel Consumption

    Tao, Wusi / Chen, Feng | Springer Verlag | 2023
    Schlagwörter: Q learning

    TrafficNN: CNN-Based Road Traffic Conditions Classification

    Shipu, Monjurur Kader / Mamun, Faisal Al / Razu, Shamim Hossen et al. | Springer Verlag | 2021
    Schlagwörter: Deep learning

    Traffic Lights Control Using Reinforcement Learning: A Comparative Study

    Errajraji, Khalid / Bouayad, Anas / Fardousse, Khalid | Springer Verlag | 2024
    Schlagwörter: Reinforcement learning , Q-learning , Deep Q-learning

    Traffic Light Control and Machine Learning: A Systematic Mapping Review

    Borges, Dimitrius F. / Moreira, Edmilson M. / de Souza, Adler D. et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Reinforcement learning

    Traffic Congestion Prediction and Intelligent Signalling Based on Markov Decision Process and Reinforcement Learning

    Surya, S. / Rakesh, N. | Springer Verlag | 2017
    Schlagwörter: Reinforcement learning , Queue learning

    Track Defect Recognition Algorithm Based on Deep Learning

    Fang, Enquan / Yang, Kunshan / Zeng, Ming | Springer Verlag | 2022
    Schlagwörter: Deep learning

    The Turnout Abnormality Diagnosis with Semi-supervised Learning Method

    Shi, Zeng Shu / Du, Yi Man / Du, Tao et al. | Springer Verlag | 2020
    Schlagwörter: Semi-supervised learning method

    The Radar Equation

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    The Future of Car Automation Field with Smart Driverless Technologies

    Thombare, Shreyas Shivajirao | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    The Development of E-Learning System for Fractal Pine Perspective Graphics Based on Iterated Function System

    You, Fucheng / Liu, Yingjie | Springer Verlag | 2012
    Schlagwörter: E-Learning System

    The Development of E-Learning System for Fractal Fern Graphics Based on Iterated Function System

    You, Fucheng / Liu, Yingjie | Springer Verlag | 2012
    Schlagwörter: E-Learning System

    Target Recognition and Classification Techniques

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Target Filtering and Tracking

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Swin Transformer-Based Positioning Methodology for Catenary Support Components in High-Speed Railway

    Wang, Hui / Guo, Weiping / Zhong, Junping et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning

    Pawłowicz, Bartosz / Salach, Mateusz / Trybus, Bartosz | Springer Verlag | 2018
    Schlagwörter: Machine learning

    Signal Processing for Radar Systems

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Segmentation of Maize Ear Bold Tip Based on U-Net

    Shi, Lijuan / Xie, Xingang / Zhang, Yang | Springer Verlag | 2022
    Schlagwörter: Decay learning rate

    Review of Challenges for Short-Term Vehicular Traffic Forecasting

    Khairnar, Hitendra S. / Sonkamble, B. A. | Springer Verlag | 2021
    Schlagwörter: Deep learning

    Research on Target Tracking Technology of UAV in Distribution Network Based on Deep Learning

    Wan, Dai / Peng, Simin / Zhao, Miao et al. | Springer Verlag | 2023
    Schlagwörter: Deep Learning

    Research on Railway Geological Hazard Detection Method Based on Few-Shot Deep Learning

    Chen, Junming / Xie, Zhengyu / Jia, Limin et al. | Springer Verlag | 2022
    Schlagwörter: Few-shot learning , Transfer learning

    Research of the Evaluation Index System of Learning City–Based on the Data of China’s Four Municipalities

    Yan, Jianyuan / Guo, Hailing / Zhang, Lei | Springer Verlag | 2012
    Schlagwörter: Learning city

    Recognition of UAV Image Transmission Signal via Deep Learning Methods

    Zhang, Shunjie / Wei, Wang / Jun, Zhang | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Recognition of Remote and Small Intrusion Targets Around High-Speed Railway Based on Deep Learning Method

    Lu, Mengting / Xie, Zhengyu | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Receding Horizon Optimal Control of Hybrid Electric Vehicles Using ELM-Based Driver Acceleration Rate Prediction

    Zhang, Jiangyan / Xu, Fuguo / Zhang, Yahui et al. | Springer Verlag | 2019
    Schlagwörter: Extreme learning machine

    Real-Time Train Detection Based on Improved Single Shot MultiBox Detector

    Xu, Yuchuan / Gao, Chunhai / Yuan, Lei et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning

    Real-Time Traffic Sign Detection Under Foggy Condition

    Anthony, Renit / Biswas, Jayanta | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Railway Perimeter Disaster Image Monitoring Method Based on YOLOV4_Lite

    Ren, Weitao / Xie, Zhengyu / Qin, Yong et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Rail Fastener Defect Inspection Based on UAV Images: A Comparative Study

    Chen, Ping / Wu, Yunpeng / Qin, Yong et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning

    Radar Waveforms and Their Mathematical Models

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Radar Target Detection

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Prediction of Subway Interchange Passenger Flow Based on Recurrent Neural Network Time Characteristic Model

    Chen, Xiao / Chen, Junxi / Liu, Yi et al. | Springer Verlag | 2021
    Schlagwörter: Deep learning

    Pioneering Data Quality and Security in Smart Grid

    Roy, Bright / Tripathi, Prashant / Goel, Rahul | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Path Planning Method for Unmanned Aerial Vehicle Based on Signal Reception Strength

    Yan, Yajing / Wu, Bi / Xuan, Yongbo et al. | Springer Verlag | 2024
    Schlagwörter: Q-Learning Algorithm

    Overview of Catenary Detection of Electrified Railways

    Liu, Zhigang / Liu, Wenqiang / Zhong, Junping | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Optimal UAV Caching and Trajectory Design in the AGVN

    Wu, Huaqing / Lyu, Feng / Shen, Xuemin | Springer Verlag | 2021
    Schlagwörter: Deep supervised learning

    Opportunistic Routing with Q-Learning for Marine Wireless Sensor Networks

    Lin, Bin / Duan, Jianli / Han, Mengqi et al. | Springer Verlag | 2022
    Schlagwörter: Q-learning

    Novice Learning in Robot Soccer Calibration

    Jaafar, Maryam / Sheikh Abdullah, Siti Norul Huda / Bokhari, Nur Saadah et al. | Springer Verlag | 2013
    Schlagwörter: Novice Learning

    New Text Detection Technique Using Machine Learning Architecture

    Agarwal, Samriddhi / Rahul, Perepi / Neetu | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning

    Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry

    Schmid, Philipp A. E. / Steinecker, Alexander / Sun, Jianwen et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning , Machine learning

    Multiple Data-Dependent Kernel Learning for Circuit Fault Diagnosis

    Jianfeng, Wang / Meixi, Wu / Hanzhi, Li | Springer Verlag | 2021
    Schlagwörter: Kernel learning

    Multi Agent Reinforcement Learning for Gridworld Soccer Leadingpass

    Sari, Safreni Candra / Prihatmanto, Ary Setijadi / Kuspriyanto | Springer Verlag | 2013
    Schlagwörter: Multiagent learning system , reinforcement learning