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

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

    An automatic gait analysis pipeline for wearable sensors:a pilot study in parkinson’s disease

    Freier Zugriff
    Peraza, Luis R. / Kinnunen, Kirsi M. / McNaney, Roisin et al. | BASE | 2021
    Schlagwörter: Deep learning

    An effective spatial-temporal attention based neural network for traffic flow prediction

    Do, Loan N.N. / Vu, Hai L. / Vo, Bao Q. et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    An Efficient Adjacent Frame Fusion Mechanism for Airborne Visual Object Detection

    Freier Zugriff
    Zecong Ye / Yueping Peng / Wenchao Liu et al. | DOAJ | 2024
    Schlagwörter: deep learning

    An efficient realization of deep learning for traffic data imputation

    Duan, Yanjie / Lv, Yisheng / Liu, Yu-Liang et al. | Elsevier | 2016
    Schlagwörter: Deep learning

    An ensemble deep learning based shoreline segmentation approach (WaterNet) from Landsat 8 OLI images

    Erdem, Firat / Bayram, Bulent / Bakirman, Tolga et al. | Elsevier | 2020
    Schlagwörter: Ensemble deep learning

    An Estimation Method for Scramjet Inlet Mach Number and Mass Flow Rate Based on Deep Learning

    Kong, Chen / Liu, Hao / Xu, Cheng et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability

    Han, Yafei / Pereira, Francisco Camara / Ben-Akiva, Moshe et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture

    Freier Zugriff
    Kucherenko Taras / Jonas Beskow / Hedvig Kjellström | BASE | 2018
    Schlagwörter: Deep learning

    A new deep learning approach for hyperspectral image classification based on multifeature local kernel descriptors

    Asghari Beirami, Behnam / Mokhtarzade, Mehdi | Elsevier | 2023
    Schlagwörter: Deep learning

    A new deep reinforcement learning architecture for autonomous UAVs

    Freier Zugriff
    Muñoz Ferran, Guillem | BASE | 2018
    Schlagwörter: Deep Learning

    A New Framework for Regional Traffic Volumes Estimation with Large-Scale Connected Vehicle Data and Deep Learning Method

    Khadka, Swastik / Wang, Peirong “Slade” / Li, Pengfei “Taylor” et al. | ASCE | 2023
    Schlagwörter: Deep learning

    An experimental study on visual tracking based on deep learning

    A, Krishna Mohan / PVN, Reddy / K, Satya Prasad | Emerald Group Publishing | 2021
    Schlagwörter: Deep learning

    Animal Detection and Counting from UAV Images Using Convolutional Neural Networks

    Freier Zugriff
    Kristina Rančić / Boško Blagojević / Atila Bezdan et al. | DOAJ | 2023
    Schlagwörter: deep learning

    An Implementation of Traffic Signs and Road Objects Detection Using Faster R-CNN

    Freier Zugriff
    Cüneyt Bayılmış / Emin Güney | DOAJ | 2022
    Schlagwörter: deep learning

    An Improved SSD and Its Application in Train Bolt Detection

    Zhang, Jiabing / Su, Zhouyi / Xing, Zongyi | Springer Verlag | 2020
    Schlagwörter: Deep learning

    An Incremental Learning Framework for Human-like Redundancy Optimization of Anthropomorphic Manipulators

    Freier Zugriff
    Su H. / Qi W. / Hu Y. et al. | BASE | 2022
    Schlagwörter: deep Learning

    An innovative vision system for floor-cleaning robots based on YOLOv5

    Freier Zugriff
    Canedo, Daniel / Fonseca, Pedro / Georgieva, Petia et al. | BASE | 2023
    Schlagwörter: Deep learning

    An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning

    Freier Zugriff
    Zhu, T / Li, K / Kuang, L et al. | BASE | 2020
    Schlagwörter: deep learning

    An Integrated Robotic System for Autonomous Brake Bleeding in Rail Yards

    Tan, Huan / Sen, Shiraj / Jain, Arpit et al. | Springer Verlag | 2017
    Schlagwörter: Deep learning

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