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1–50 von 258 Ergebnissen
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    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

    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

    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

    Artificial Intelligence-Based Field-Programmable Gate Array Accelerator for Electric Vehicles Battery Management System

    Patil , B. P. / Nagarale, Satyashil D. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    An Energy Management Strategy for Traction Substation with ESS Based on Reinforcement Learning

    Luo, Jiaming / Wei, Xiaoguang / Gao, Shibin et al. | Springer Verlag | 2024
    Schlagwörter: Reinforcement 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)

    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 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

    Interactive Energy Management Between Electric Vehicle Charging Stations and Electricity Distribution System

    Ge, Leijiao / Li, Yuanzheng | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Coupled Multi-network Constrained Planning of Energy Supplying Facilities for Hybrid Hydrogen-Electric Vehicles

    Ge, Leijiao / Li, Yuanzheng | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Resilience Assessment Framework: Assessing Commercial Contributions to U.S. SpaceForce Mission Resilience

    O. Osoba / G. Nacouzi / J. Hagen et al. | NTIS | 2023
    Schlagwörter: Machine learning , Supervised machine learning

    Improving Unmanned Panoramic Perception Algorithm of DAFPN-YOLO

    Wu, Xiru / Lin, Yurui / Liu, Chao | Springer Verlag | 2023
    Schlagwörter: Multi-task 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

    Overview of Catenary Detection of Electrified Railways

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

    Driving Behavior Analysis Using Deep Learning on GPS Data

    Singh, Saurabh Kumar / Anand, Utkarsh / Patel, Anurag et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Traffic Signal Optimization Method for Urban Intersections with Low Fuel Consumption

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

    Catenary Support Components and Their Characteristics in High-Speed Railways

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

    A Novel Air-Ground Coordinated Approach for UAV Autonomous Landing on a Mobile Platform

    Wang, Jiaqing / Wei, Changyun | Springer Verlag | 2023
    Schlagwörter: Deep reinforcement 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

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

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

    Recognition of UAV Image Transmission Signal via Deep Learning Methods

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

    Intelligent System for Railway Joint Diagnostics

    Efimushkin, N. / Efimushkina, N. / Orlov, S. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically

    Rakesh, S. / Hegde, Nagaratna P. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways

    Liu, Zhigang / Liu, Wenqiang / Zhong, Junping | TIBKAT | 2023
    Schlagwörter: Machine learning , Maschinelles Lernen

    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

    Traffic Sign Detection and Recognition Using Deep Learning Approach

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

    Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting

    Bansal, Nishu / Bali, Rasmeet Singh | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Management of Electric Vehicles Using Automatic Learning Algorithms: Application in Office Buildings

    Rodriguez, Andres Alonso / Perdomo, Luis / Al‐sumaiti, Ameena et al. | Wiley | 2022
    Schlagwörter: A utomatic learning

    Intelligent Unmanned Air Vehicles for Public Safety Networks: Emerging Technologies and Research Directions

    Kaleem, Zeeshan / Ahmad, Ishtiaq / Duong, Trung Q. | Springer Verlag | 2022
    Schlagwörter: Federated learning , Machine learning

    A Novel Intelligent Route Planning Framework for Electric Vehicles with Consideration of Waiting Time in Delhi

    Lokesh Kumar, Panwar | Wiley | 2022
    Schlagwörter: R einforcement learning , distributed learning

    Artificial Intelligence Empowered Models for UAV Communications

    Pradhan, Nilanjana / Sille, Roohi / Sagar, Shrddha | Springer Verlag | 2022
    Schlagwörter: Machine learning , Deep learning

    New Text Detection Technique Using Machine Learning Architecture

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

    Smart IoT‐Enabled Traffic Sign Recognition With High Accuracy (TSR‐HA) Using Deep Learning

    Pradeep, Kumar S. / Jayanthi, K. / Selvakumari, S. | Wiley | 2022
    Schlagwörter: deep 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

    Real-Time Traffic Sign Detection Under Foggy Condition

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

    Location Prediction and Trajectory Optimization in Multi-UAV Application Missions

    Singh, Rounak / Qu, Chengyi / Esquivel Morel, Alicia et al. | Springer Verlag | 2022
    Schlagwörter: Deep reinforcement 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

    Track Defect Recognition Algorithm Based on Deep Learning

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

    Fast Obstacle Detection Platform Based on Yolo

    Ma, Wenhua / Wang, Xin / Wang, Baohua | Springer Verlag | 2022
    Schlagwörter: Deep 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

    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

    Segmentation of Maize Ear Bold Tip Based on U-Net

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

    Detection Approach Based on an Improved Yolov5 for Catenary Support Components

    Zhao, Ranran / Han, Zhiwei / Liu, Zhigang | Springer Verlag | 2022
    Schlagwörter: Deep 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

    An Online Prediction Method for Axle Temperature of High-Speed Train Based on RNN-EWC

    Liu, Yinyue / Dong, Honghui / Jia, Limin et al. | Springer Verlag | 2022
    Schlagwörter: Continuous learning

    Fault Diagnosis of Train Wheelset Bearings Based on Improved Joint Distribution Adaptation

    Ding, Yifan / Xin, Ge / Li, Zhe et al. | Springer Verlag | 2022
    Schlagwörter: Transfer learning