Search Results - "stacked sparse denoising autoencoder"

A stacked convolutional sparse denoising autoencoder model for underwater heterogeneous information data by Wang, Xingmei, Zhao, Yixu, Teng, Xuyang, Sun, Weiqi

“…•A novel stacked convolutional sparse denoising autoencoder (SCSDA) model is proposed.•The unrelated dataset was developed to simulate the underwater…”
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Maximal overlap discrete wavelet transform and deep learning for robust denoising and detection of power quality disturbance by Xiao, Fei, Lu, Tianguang, Wu, Mingli, Ai, Qian

“…This study presents a new technique for power quality (PQ) disturbance detection. The technique focuses on voltage sags and interruptions that are related to…”
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Enhanced CNN for Fruit Disease Detection and Grading Classification Using SSDAE-SVM for Postharvest Fruits by Patel, Himanshu B., Patil, Nitin J.

“…In the realm of agriculture, leveraging image processing has become pivotal for robust image analysis, especially in detecting fruit diseases. However,…”
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Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder by Dai, Juying, Tang, Jian, Shao, Faming, Huang, Shuzhan, Wang, Yangyang

“…Effective intelligent fault diagnosis of bearings is important for improving safety and reliability of machine. Benefiting from the training advantages, deep…”
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The optimally designed autoencoder network for compressed sensing by Zhang, Zufan, Wu, Yunfeng, Gan, Chenquan, Zhu, Qingyi

“…Compressed sensing (CS) is a signal processing framework, which reconstructs a signal from a small set of random measurements obtained by measurement matrices…”
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自编码网络在JavaScript恶意代码检测中的应用研究 by 龙廷艳, 万良, 丁红卫

“…TP391; 针对传统机器学习特征提取方法很难发掘JavaScript恶意代码深层次本质特征的问题,提出基于堆栈式稀疏降噪自编码网络(sSDAN)的JavaScript恶意代码检测方法.首先…”
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MOCSC: a multi-omics data based framework for cancer subtype classification by Ma, Yuanling, Guan, Jinting

“…Using multi-omics data to achieve the classification of cancer subtypes from the perspective of machine learning can facilitate the understanding of cancer…”
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Denoising hybrid noises in image with stacked autoencoder by Xiufen Ye, Lin Wang, Huiming Xing, Le Huang

“…A method based on sparse denoising autoencoder for denoising hybrid noises in image is proposed in this paper. The method is experimented on natural images and…”
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