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The Photogrammetric Record, Volume 37, Issue 180, Page 385-409, December 2022., 2022 Among all stereo matching methods End‐to‐End (E2E) learning methods show that they can achieve the lowest and most frequent minimum errors, however, their performance drastically changes across different test‐sites, which indicates poor generalisation capabilities.
Hessah Albanwan, Rongjun Qin
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The Photogrammetric Record, Volume 36, Issue 174, Page 77-103, June 2021., 2021 A workflow is proposed for a completely automatic orientation of historical terrestrial urban images. For such images, automatic SfM packages often fail due to large radiometric and geometric differences causing challenges with feature extraction and reliable matching.
Ferdinand Maiwald, Hans‐Gerd Maas
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Journal of Mathematics, Volume 2021, Issue 1, 2021., 2021 Fractional order research has interdisciplinary characteristics and has been widely used in the field of natural sciences. Therefore, fractional order research has become an important area of concern for scholars. This paper used 2854 literatures collected from China National Knowledge Infrastructure (CNKI) database from 2001 to 2020 as the data source
Yunfei Yang +4 more
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Short wave protocol signals recognition based on Swin-Transformer [PDF]
, 2022 Aiming at the problem that it is difficult to identify the protocol to which the signal belongs in the complex SW channel environment, a SW protocol signal recognition algorithm based on Swin-Transformer neural network model was proposed.Firstly, the ...
Di WU +5 more
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Intrusion detection model of random attention capsule network based on variable fusion [PDF]
, 2020 In order to enhance the accuracy and generalization of the detection model,an intrusion detection model of random attention capsule network with variable fusion was proposed.Through dynamic feature fusion,the model could better capture data features.At ...
Shenglin YIN, Xinglan ZHANG
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Elevator Group Control Algorithm Research and Control Program Implementation Based on Fuzzy Neural Network with Four-layer Structure [PDF]
, 2017 为提高电梯群控系统的载客效率,减少系统运行能耗,提高运行稳定性,在传统模糊神经网络算法的原理上,设计了基于电梯群控模糊规则的四层模糊神经网络算法,确定四层模糊神经网络结构,定义模糊规则,测算隶属数值,推导隶属度函数,并且基于Matlab提出算法检验方案,给出验证结果。最后采用结构化编程思路在PLC中实现控制程序,并提出可变响应闭环的程序实现方式。In order to improve passenger carrying efficiency of the elevator group control ...
潘廷哲 +3 more
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A Morphological Analyzer for Rice Shape Based on CNN Method [PDF]
, 2021 A morphological analyzer for rice shape with gray and convolution processing of collected images was developed in this article based on embedded hardware platform of charge coupled device (CCD) camera and algorithm principle of convolutional neural ...
BU Dong-wei
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PINN-type algorithm for shock capturing of hyperbolic equations(双曲型方程激波捕捉的物理信息神经网络（PINN）算法)
Zhejiang Daxue xuebao. Lixue ban, 2023 双曲型方程的数值求解算法研究一直是偏微分方程研究的热点，其中，双曲型方程的间断捕捉是难点。受物理信息神经网络（physics-informed neural networks，PINN）启发，构造了改进的PINN算法，近似求解双曲型方程的间断问题。将坐标构造的数据集作为神经网络的输入，将PINN算法中的损失函数作为训练输出值与参考解（基于细网格的熵相容格式数据）或准确解的误差值，通过网络优化，最小化损失函数，得到最优网络参数。最后用数值算例验证了算法的可行性，数值结果表明，本文算法能捕捉激波，分辨率高 ...
郑素佩(ZHENG Supei) +3 more
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Applying deep learning to right whale photo identification
Conservation Biology, Volume 33, Issue 3, Page 676-684, June 2019., 2019 Abstract Photo identification is an important tool for estimating abundance and monitoring population trends over time. However, manually matching photographs to known individuals is time‐consuming. Motivated by recent developments in image recognition, we hosted a data science challenge on the crowdsourcing platform Kaggle to automate the ...
Robert Bogucki +5 more
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Dizhen xuebao, 2022 探讨了基于差分进化-人工神经网络构建沉积河谷地震响应代理模型的可行性。首先建立沉积河谷对地震波散射的求解方法，以半圆形、V形沉积河谷为例，以入射波条件、沉积内外介质属性、场地形状为特征参数，以沉积河谷地震动放大系数为预测目标参数，构建数据集；其次，建立沉积河谷地震动放大效应人工神经网络、差分进化-人工神经网络算法预测模型，对比两种算法计算精度和稳定性，并进行了特征参数敏感性分析。结果表明：人工神经网络能较好地预测沉积河谷地震动放大效应，使差分进化-人工神经网络预测模型的精度和稳定性显著提高 ...
Sibo Meng, Jiawei Zhao, Zhongxian Liu
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