1–50 von 153 Ergebnissen
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    GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model

    Guo, Jingqiu / Liu, Yangzexi / Yang, Qingyan (Ken) et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Convolutional neural network for detecting railway fastener defects using a developed 3D laser system

    Zhan, You / Dai, Xianxing / Yang, Enhui et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Real-time traffic incident detection based on a hybrid deep learning model

    Li, Linchao / Lin, Yi / Du, Bowen et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Graph attention temporal convolutional network for traffic speed forecasting on road networks

    Zhang, Ke / He, Fang / Zhang, Zhengchao et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Road Pothole Detection Using Unmanned Aerial Vehicle Imagery and Deep Learning Technique

    Freier Zugriff
    Dana Mohammed Ali / Haval A.Sadeq | DOAJ | 2022
    Schlagwörter: deep learning

    SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection

    Freier Zugriff
    Esra Kavalci Yilmaz / M. Ali Akcayol | DOAJ | 2022
    Schlagwörter: deep learning

    Automatic Road Pavement Distress Recognition Using Deep Learning Networks from Unmanned Aerial Imagery

    Freier Zugriff
    Farhad Samadzadegan / Farzaneh Dadrass Javan / Farnaz Ashtari Mahini et al. | DOAJ | 2024
    Schlagwörter: deep learning network , YOLOv8 Deep Learning Network

    Development of a global road safety performance function using deep neural networks

    Freier Zugriff
    Guangyuan Pan / Liping Fu / Lalita Thakali | DOAJ | 2017
    Schlagwörter: Deep learning

    DLW-Net model for traffic flow prediction under adverse weather

    Yao, Ronghan / Zhang, Wensong / Long, Meng | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Development of a novel engine power model to estimate heavy-duty truck fuel consumption

    Kan, Yuheng / Liu, Hao / Lu, Xiaoyun et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Electric vehicle charging demand forecasting using deep learning model

    Yi, Zhiyan / Liu, Xiaoyue Cathy / Wei, Ran et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information

    Tang, Kun / Chen, Shuyan / Khattak, Aemal J. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

    Kim, Dohoon / Kim, Eungcheol | Taylor & Francis Verlag | 2023
    Schlagwörter: deep-learning

    Characterizing parking systems from sensor data through a data-driven approach

    Arjona Martinez, Jamie / Linares, Maria Paz / Casanovas, Josep | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Video-based trajectory extraction with deep learning for High-Granularity Highway Simulation (HIGH-SIM)

    Freier Zugriff
    Xiaowei Shi / Dongfang Zhao / Handong Yao et al. | DOAJ | 2021
    Schlagwörter: Deep learning

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Automated Agave Detection and Counting Using a Convolutional Neural Network and Unmanned Aerial Systems

    Freier Zugriff
    Donovan Flores / Iván González-Hernández / Rogelio Lozano et al. | DOAJ | 2021
    Schlagwörter: deep learning

    Vehicle detection and masking in UAV images using YOLO to improve photogrammetric products

    Freier Zugriff
    Pargieła Karolina | DOAJ | 2022
    Schlagwörter: deep learning

    Deep Reinforcement Learning for Drone Delivery

    Freier Zugriff
    Guillem Muñoz / Cristina Barrado / Ender Çetin et al. | DOAJ | 2019
    Schlagwörter: deep learning

    Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control

    Freier Zugriff
    Stefano Silvestrini / Michèle Lavagna | DOAJ | 2022
    Schlagwörter: deep learning

    Joint learning of video images and physiological signals for lane-changing behavior prediction

    Gao, Jun / Yi, Jiangang / Murphey, Yi Lu | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Mapping of Glaciers on Horseshoe Island, Antarctic Peninsula, with Deep Learning Based on High-Resolution Orthophoto

    Freier Zugriff
    Mahmut Oğuz Selbesoğlu / Tolga Bakirman / Oleg Vassilev et al. | DOAJ | 2023
    Schlagwörter: deep learning

    Cattle Detection Using Oblique UAV Images

    Freier Zugriff
    Jayme Garcia Arnal Barbedo / Luciano Vieira Koenigkan / Patrícia Menezes Santos | DOAJ | 2020
    Schlagwörter: deep learning

    Traffic sign extraction using deep hierarchical feature learning and mobile light detection and ranging (LiDAR) data on rural highways

    Gouda, Maged / Epp, Alexander / Tilroe, Rowan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Deep learning

    A Middleware Infrastructure for Programming Vision-Based Applications in UAVs

    Freier Zugriff
    Pedro Arias-Perez / Jesús Fernández-Conde / David Martin Gomez et al. | DOAJ | 2022
    Schlagwörter: deep learning

    Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs

    Freier Zugriff
    Wamiq Raza / Anas Osman / Francesco Ferrini et al. | DOAJ | 2021
    Schlagwörter: deep learning

    Drones Chasing Drones: Reinforcement Learning and Deep Search Area Proposal

    Freier Zugriff
    Moulay A. Akhloufi / Sebastien Arola / Alexandre Bonnet | DOAJ | 2019
    Schlagwörter: deep learning

    Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks

    Freier Zugriff
    Ovidiu Csillik / John Cherbini / Robert Johnson et al. | DOAJ | 2018
    Schlagwörter: deep learning

    ARSD: An Adaptive Region Selection Object Detection Framework for UAV Images

    Freier Zugriff
    Yuzhuang Wan / Yi Zhong / Yan Huang et al. | DOAJ | 2022
    Schlagwörter: deep learning

    A Study of Correlation between Fishing Activity and AIS Data by Deep Learning

    Freier Zugriff
    Kuan Yu Shen / Ying Jui Chu / Shwu Jing Chang et al. | DOAJ | 2020
    Schlagwörter: deep learning framework , deep learning

    Vehicle Detection, Counting, and Classification System based on Video using Deep learning Models

    Freier Zugriff
    Tara Saber Ismail / Abbas M. Ali | DOAJ | 2024
    Schlagwörter: deep learning

    A Novel UAV Visual Positioning Algorithm Based on A-YOLOX

    Freier Zugriff
    Ying Xu / Dongsheng Zhong / Jianhong Zhou et al. | DOAJ | 2022
    Schlagwörter: deep learning

    A Simple Vehicle Counting System Using Deep Learning with YOLOv3 Model

    Freier Zugriff
    Muhammad Fachrie | DOAJ | 2020
    Schlagwörter: deep learning

    Deep machine learning for structural health monitoring on ship hulls using acoustic emission method

    Karvelis, Petros / Georgoulas, George / Kappatos, Vassilios et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Multi-Altitude Corn Tassel Detection and Counting Based on UAV RGB Imagery and Deep Learning

    Freier Zugriff
    Shanwei Niu / Zhigang Nie / Guang Li et al. | DOAJ | 2024
    Schlagwörter: deep learning

    A Framework of Grasp Detection and Operation for Quadruped Robot with a Manipulator

    Freier Zugriff
    Jiamin Guo / Hui Chai / Qin Zhang et al. | DOAJ | 2024
    Schlagwörter: deep learning

    A Deep Learning Approach of Intrusion Detection and Tracking with UAV-Based 360° Camera and 3-Axis Gimbal

    Freier Zugriff
    Yao Xu / Yunxiao Liu / Han Li et al. | DOAJ | 2024
    Schlagwörter: deep learning

    U-Net Performance for Beach Wrack Segmentation: Effects of UAV Camera Bands, Height Measurements, and Spectral Indices

    Freier Zugriff
    Edvinas Tiškus / Martynas Bučas / Jonas Gintauskas et al. | DOAJ | 2023
    Schlagwörter: deep learning

    Enhancing Drones for Law Enforcement and Capacity Monitoring at Open Large Events

    Freier Zugriff
    Pablo Royo / Àlex Asenjo / Juan Trujillo et al. | DOAJ | 2022
    Schlagwörter: deep learning

    An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs)

    Freier Zugriff
    Zhiyao Xiao / Guobao Zhang | DOAJ | 2023
    Schlagwörter: deep learning

    Wheat Lodging Segmentation Based on Lstm_PSPNet Deep Learning Network

    Freier Zugriff
    Jun Yu / Tao Cheng / Ning Cai et al. | DOAJ | 2023
    Schlagwörter: deep learning

    A state-of-the-art survey of deep learning models for automated pavement crack segmentation

    Freier Zugriff
    Hongren Gong / Liming Liu / Haimei Liang et al. | DOAJ | 2024
    Schlagwörter: Deep learning

    DRONET: Multi-Tasking Framework for Real-Time Industrial Facility Aerial Surveillance and Safety

    Freier Zugriff
    Simeon Okechukwu Ajakwe / Vivian Ukamaka Ihekoronye / Dong-Seong Kim et al. | DOAJ | 2022
    Schlagwörter: deep learning

    Feature-Enhanced Attention and Dual-GELAN Net (FEADG-Net) for UAV Infrared Small Object Detection in Traffic Surveillance

    Freier Zugriff
    Tuerniyazi Aibibu / Jinhui Lan / Yiliang Zeng et al. | DOAJ | 2024
    Schlagwörter: deep learning

    Application of Image Processing Techniques for UAV Detection Using Deep Learning and Distance-Wise Analysis

    Freier Zugriff
    Vedanshu Dewangan / Aditya Saxena / Rahul Thakur et al. | DOAJ | 2023
    Schlagwörter: deep learning

    A Review on Visual Inspection Methods for Aircraft Maintenance

    Freier Zugriff
    Mustafa BÖYÜK / Ramazan DUVAR / Oğuzhan URHAN | DOAJ | 2021
    Schlagwörter: deep learning

    Machine Learning for Precision Agriculture Using Imagery from Unmanned Aerial Vehicles (UAVs): A Survey

    Freier Zugriff
    Imran Zualkernan / Diaa Addeen Abuhani / Maya Haj Hussain et al. | DOAJ | 2023
    Schlagwörter: deep learning

    A Modified YOLOv8 Detection Network for UAV Aerial Image Recognition

    Freier Zugriff
    Yiting Li / Qingsong Fan / Haisong Huang et al. | DOAJ | 2023
    Schlagwörter: deep learning