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    CNN-Based Multi-Object Detection and Segmentation in 3D LiDAR Data for Dynamic Industrial Environments by Danilo Giacomin Schneider , Marcelo Ricardo Stemmer

    Published 2024-12-01
    “…This paper proposes a novel approach utilizing Convolutional Neural Networks (CNNs) for multi-object detection in 3D space and 2D segmentation using bird’s eye view (BEV) maps derived from 3D Light Detection and Ranging (LiDAR) data. …”
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    Level measurement, regional variations, and the dynamic evolution of active aging in China—analysis based on CHARLS tracking data by Jiru Guo, Xiaoli Zhang, Xiaoli Zhang, Longyin Chen, Hong Yang

    Published 2025-01-01
    “…Exploring the current state and evolutionary trends of active aging over the past decade is a fundamental prerequisite and the primary task for implementing this strategy.MethodsBased on data from the China Health and Retirement Longitudinal Study (2011-2018), this study primarily employs methods such as the entropy method, Gini coefficient, Moran index, and Kernel density estimation to analyze the development level, regional differences, and dynamic evolution of active aging in China.Results(1) From a general point of view, the overall level of active aging in China has not been high in the past decade, but has shown a rising trend year by year. …”
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