本文针对无人机LiDAR点云地物分类问题，提出了一种基于改进的卷积神经网络模型，通过对四川某地区采集的点云数据进行人工标注，实现了地面、建筑和植被三种地物的点云分类。利用所设计的CNN模型对人工构建的数据集进行模型训练及测试，并不断对模型参数进行优化，总体分类精度 (OA)可达93.6599%。实验结果表明，本文所设计的改进CNN能够自动学习点云的空间分布特征和形状模式，减少了人工特征设计的工作量 ...

Aim: This study aims to explore the effect of umbilical cord cutting experience on fathers’ emotional bonding with their ...

The study is to explore the effects of development interventions on Rangeland and implications case study of Burder landscape, by assessing the LULC form 1986-2022. The findings are used to examine ...

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Sharing Initiatives, Multi-Agency Collaboration, Cybercrime Prevention Share and Cite: Ogutu, K.O. , Obosi, J.O. and Odongo, H.A. (2025) Strengthening Cyber Defenses: The Impact of Multi-Agency ...

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Zhai, T. (2025) An Analysis of Japanese Majors’ Cognition on Academic Paper Writing Courses and Academic Ability Cultivation. Open Journal of Social Sciences, 13, 555-570. doi: 10.4236/jss.2025.138036 ...

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From the previous discussion, it can be seen that the heat of metamorphism mainly comes from magma. The formation of UHP is closely related to both the stress formed by arch tectonics and the thermal ...