Filtering Method for Feature Maps from Convolutional Neural Network for Thermal Imaging Data [PDF]
Commonly used visible light image data may fail because of harsh weather or poor light conditions; however, infrared thermal imaging data can effectively complement visible light image data.
Lei ZHANG, Guochen SHEN, Dongxiu OU
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Short-Term Wind Power Prediction Method Based on Multimodal Feature Extraction-Convolutional Neural Network-Long-Short Term Memory Network [PDF]
ObjectivesWeather and random factors can alter the statistical characteristics of errors. Therefore, this study considers feature extraction of various climate factors that affect wind power.
GUO Qian, KUANG Honghai
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Image data-driven intelligent recognition of permafrost strength and feature visualization based analysis [PDF]
Ensuring the stability of the frozen wall is critical in freezing construction, but traditional onsite detection methods, due to their intermittent nature, fail to provide real-time monitoring, limiting timely responses to potential catastrophic events ...
Hang WEI +3 more
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Review of Deep Learning Applications in Unmanned Aerial Vehicle Remote Sensing Images of Grass Plants [PDF]
The invasion of grass species competes for resources necessary for the growth of crops, significantly affecting crop yield and quality. Grasses such as the Artemisia genus release allergenic pollen, causing allergic reactions and impacting human health ...
LI Shaobo, WANG Xiaoqiang, GUO Libiao, HONG Ying, WANG Zhiguo
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[Alzheimer's disease classification based on nonlinear high-order features and hypergraph convolutional neural network]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2023 Zeng A +8 more
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[Diagnosis of nasopharyngeal carcinoma with convolutional neural network on narrowband imaging]. [PDF]
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi, 2023 Weng J +9 more
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Zhendong Ceshi yu Zhenduan针对实车旋转车轮动平衡状态难以实时监测及预判的问题，提出了一种融合注意力机制的抗噪一维卷积神经网络（noise resistant 1D convolutional neural network， 简称NRCNN）的旋转车轮动平衡健康状态监测方法。首先，构建NRCNN模型，以在实车车轮上添加3种不同质量平衡块的方式获得3种不同速度下对应的旋转车轮动不平衡状态下的振动信息；其次，以高斯白噪声为噪声输入，对所测旋转车轮不同动平衡状态的振动信息进行处理，获得试验样本数据，并用其进行模型训练；然后 ...
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Dianxin kexue现有基于深度学习的调制识别在训练阶段需要大量IQ信号样本，而复杂电磁环境中很难获取大量样本，导致基于深度学习的调制识别算法泛化性能下降。针对网络泛化能力差的问题，提出了一种基于信号增强的调制识别（signal enhancement based modulation recognition，SEBMR）算法。首先，设计了捕获IQ信号全局特征的特征提取及重构模块；其次，提出了基于辅助分类生成对抗网络（auxiliary classifier generative adversarial network ...
程风云, 周金
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[Research on classification method of multimodal magnetic resonance images of Alzheimer's disease based on generalized convolutional neural networks]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2023 Qin Z, Liu Z, Lu Y, Zhu P.
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智能科学与技术学报, 2020 针对水泥烧成过程的资源浪费以及难以建立有效数学机理模型的问题，提出一种基于水泥工业烧成系统动态能耗优化方法。该方法利用卷积神经网络构建了烧成系统电耗与煤耗的目标函数，利用差分进化算法对运行指标进行反向求解，得到符合当前工况的较优的运行指标。由于实际生产工况会随着时间变化，所以将未来时刻的运行指标与电耗、煤耗保存下来，再次输入神经网络中进行训练，并通过当前时刻的实际运行指标值确定运行指标的约束范围，使优化值可以满足实际运行指标的调整要求。该方法实现了水泥烧成过程动态能耗的目标优化 ...
郝晓辰 +4 more
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