Showing 481 - 500 results of 20,691 for search 'detection process', query time: 0.23s Refine Results
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    Implementation of Machine Vision Methods for Cattle Detection and Activity Monitoring by Roman Bumbálek, Tomáš Zoubek, Jean de Dieu Marcel Ufitikirezi, Sandra Nicole Umurungi, Radim Stehlík, Zbyněk Havelka, Radim Kuneš, Petr Bartoš

    Published 2025-03-01
    “…The goal of this research was to implement machine vision algorithms in a cattle stable to detect cattle in stalls and determine their activities. …”
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    Scene classification-assisted deep learning for crack detection in asphalt pavements by Hiromu Tanaka, Kazuma Shibano, Tetsuya Suzuki

    Published 2025-12-01
    “…The highest F-measure of 0.784 is obtained when both training and test data are unified through image processing. The composite model combining scene classification and crack detection effectively reduces false detections in noisy areas and enables accurate detection across different lighting conditions. …”
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    Automatic detection and extraction of key resources from tables in biomedical papers by Ibrahim Burak Ozyurt, Anita Bandrowski

    Published 2025-03-01
    “…Conclusions Our pipelines allow the detection and extraction of key resources from tables with much higher accuracy, enabling the deployment of automated research resource extraction tools on BioRxiv to help authors correct unidentifiable key resources detected in their articles and improve the reproducibility of their findings. …”
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    Knee Osteoarthritis Detection and Classification Using Autoencoders and Extreme Learning Machines by Jarrar Amjad, Muhammad Zaheer Sajid, Ammar Amjad, Muhammad Fareed Hamid, Ayman Youssef, Muhammad Irfan Sharif

    Published 2025-07-01
    “…Background/Objectives: Knee osteoarthritis (KOA) is a prevalent disorder affecting both older adults and younger individuals, leading to compromised joint function and mobility. Early and accurate detection is critical for effective intervention, as treatment options become increasingly limited as the disease progresses. …”
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    Technology and Method Optimization for Foot–Ground Contact Force Detection in Wheel-Legged Robots by Chao Huang, Meng Hong, Yaodong Wang, Hui Chai, Zhuo Hu, Zheng Xiao, Sijia Guan, Min Guo

    Published 2025-06-01
    “…Subsequently, under dynamic gait conditions, data collected from the PVDF sensor array are used to predict three-dimensional contact forces through Gaussian process regression (GPR) and artificial neural network (ANN) models. …”
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