Synonyme wurden verwendet für: learning  deep learning
Suche ohne Synonyme: keywords:( deep learning)

1–20 von 768 Ergebnissen
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    YOLO-Based Object Detection and Tracking for Autonomous Vehicles Using Edge Devices

    Azevedo, Pedro / Santos, Vítor | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Wire Databases Generation Using Deep Learning Methods for Rotorcraft Wire Strike Prevention

    Achour, Gabriel / Harris, Caleb / Payan, Alexia P. et al. | AIAA | 2024
    Schlagwörter: Deep Learning

    WilDa - Dynamische Wildunfallwarnung unter Verwendung heterogener Verkehrs-, Unfall- und Umweltdaten sowie Big Data Ansätze : Abschlussbericht aller Partner : im Rahmen der Fördermaßnahme: Modernitätsfonds/mFUND/Förderlinie 2 des BMI : Berichtszeitraum: 01.04.2017-30.09.2020

    Technische Hochschule Deggendorf, Institut für Angewandte Informatik / Albert-Ludwigs-Universität Freiburg, Professur für Wildtierökologie und Wildtiermanagement / Technische Hochschule Deggendorf, Institut für Existenzgründung | TIBKAT | 2021
    Schlagwörter: Deep learning

    What is the Impact of COVID-19 on Residential Water Use?

    Sung, Jang Hyun / Chung, Eun-Sung | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Walking Motion Generation of Bipedal Robot Based on Planar Covariation Using Deep Reinforcement Learning

    Yamano, Junsei / Kurokawa, Masaki / Sakai, Yuki et al. | Springer Verlag | 2024
    Schlagwörter: Deep reinforcement learning

    Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning

    Liu, HaiLong | Online Contents | 2017
    Schlagwörter: deep learning , Machine learning

    Vision-Based Irregular Car Parking Behaviors Detection in the Underground Garage

    Wang, Pengfei / Xu, Zhenyuan / Cen, Libin et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning

    Vision-Based Autonomous Landing Solution of UAVs in Dimming Light Environment

    Zuo, Shiyu / Dong, Xin / Tu, Zhan et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Vietnam Vehicle Number Recognition Based on an Improved CRNN with Attention Mechanism

    Dang, Le Tran Anh / Ngoc, Vong Duong / Thien Vu, Pham Cung Le et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Vehicle Pollution Detection from Images Using Deep Learning

    Kundu, Srimanta / Maulik, Ujjwal | Springer Verlag | 2020
    Schlagwörter: Transfer learning , Deep learning

    Vehicle License Plates Recognition Using Object Detection and Classification Algorithms

    Cam, Nguyen Tan / Tram, Dong Thi Ngoc / Nguyen, Duy | Springer Verlag | 2023
    Schlagwörter: Deep 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

    Vehicle Counting System Based on Vehicle Type Classification Using Deep Learning Method

    Awang, Suryanti / Azmi, Nik Mohamad Aizuddin Nik | Springer Verlag | 2017
    Schlagwörter: Deep learning

    Vehicle Color Recognition With Spatial Pyramid Deep Learning

    Hu, Chuanping | Online Contents | 2015
    Schlagwörter: deep learning

    Vehicle Classification for Autonomous Vehicles Using Transfer Deep Learning

    Chhabra, Rishu / Khullar, Vikas / Singh, Saravjeet | Springer Verlag | 2023
    Schlagwörter: Deep learning , Transfer learning

    Variance-based global sensitivity analysis for rear-end crash investigation using deep learning

    Moussa, Ghada S. / Owais, Mahmoud / Dabbour, Essam | Elsevier | 2021
    Schlagwörter: Deep learning

    Validation Environment for Deep Reinforcement Learning Based Gear Shift Controllers

    Altenburg, Stefan / Bause, Katharina / Albers, Albert | Springer Verlag | 2022
    Schlagwörter: Deep Reinforcement Learning

    Using open data and deep learning to explore walkability in Shenzhen, China

    He, Xuan / He, Sylvia Y. | Elsevier | 2023
    Schlagwörter: Deep learning

    Using Affordances to Improve Robotic Understanding Based on Deep Learning

    Yi, Chang’an / Chen, Haotian / Zhong, Jingtang et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning