Search Results - autoencoder convolutional neural network

CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA–Disease Associations by Xuan, Ping, Sheng, Nan, Zhang, Tiangang, Liu, Yong, Guo, Yahong

“…-source data and to learn the low-dimensional feature representations from these data. We propose a method based on the convolutional neural network with the attention…”
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Network traffic classification using deep convolutional recurrent autoencoder neural networks for spatial–temporal features extraction by D’Angelo, Gianni, Palmieri, Francesco

“… For this purpose, a novel autoencoder-based deep neural network architecture…”
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Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network by Bedi, Punam, Gole, Pushkar

“… This paper proposes a novel hybrid model based on Convolutional Autoencoder (CAE) network and Convolutional Neural Network (CNN…”
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CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network by Zhang, Yongqing, Qiao, Shaojie, Zeng, Yuanqi, Gao, Dongrui, Han, Nan, Zhou, Jiliu

“…•Integrate the unsupervised and supervised method to predict the TF binding site.•CAE-CNN share the parameters, so the training time can be significantly…”
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CAD-Skin: A Hybrid Convolutional Neural Network–Autoencoder Framework for Precise Detection and Classification of Skin Lesions and Cancer by Khan, Abdullah, Sajid, Muhammad Zaheer, Khan, Nauman Ali, Youssef, Ayman, Abbas, Qaisar

“… neural networks and autoencoders to improve the classification efficiency of skin cancer…”
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Characterization of $S_1$ and $S_2$ Heart Sounds Using Stacked Autoencoder and Convolutional Neural Network by Mishra, Madhusudhan, Menon, Hrishikesh, Mukherjee, Anirban

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Within-project and cross-project just-in-time defect prediction based on denoising autoencoder and convolutional neural network by Zhu, Kun, Zhang, Nana, Ying, Shi, Zhu, Dandan

“… Therefore, the authors propose a novel just-in-time defect prediction model named DAECNN-JDP based on denoising autoencoder and convolutional neural network in this study, which has three main advantages…”
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Indoor Localization with an Autoencoder based Convolutional Neural Network by Arslantas, Hatice, Okdem, Selcuk

“… In this study, we propose a method and training strategy that is entirely based on a Convolutional Neural Network (CNN…”
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Rapid and Accurate Prediction of Soil Texture Using an Image-Based Deep Learning Autoencoder Convolutional Neural Network Random Forest (DLAC-CNN-RF) Algorithm by Zhao, Zhuan, Feng, Wenkang, Xiao, Jinrui, Liu, Xiaochu, Pan, Shusheng, Liang, Zhongwei

“… This study proposed a flexible smartphone-based machine vision system using a deep learning autoencoder convolutional neural network random forest (DLAC-CNN-RF…”
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Fault Diagnosis of Rotating Machinery under Noisy Environment Conditions Based on a 1-D Convolutional Autoencoder and 1-D Convolutional Neural Network by Liu, Xingchen, Zhou, Qicai, Zhao, Jiong, Shen, Hehong, Xiong, Xiaolei

“…) and a 1-D convolutional neural network (CNN) is proposed to address this problem, whereby the former is used for noise reduction of raw vibration signals and the latter for fault…”
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DOA estimation method for sparse arrays based on deep convolutional autoencoder and deep convolutional neural network by Guo, Shuhan, Zhang, Qin, Fu, Xiaolong, Zheng, Guimei, Zhou, Hao

“…This paper proposes a Direction-of-Arrival (DOA) estimation method based on Deep Convolutional Autoencoder (DCAE…”
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A shallow network for hyperspectral image classification using an autoencoder with convolutional neural network by Patel, Heena, Upla, Kishor P.

“… In the proposed approach, we use an autoencoder with convolutional neural network (AECNN) for the classification of HS images…”
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Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network by Chen, Min, Shi, Xiaobo, Zhang, Yin, Wu, Di, Guizani, Mohsen

“… Therefore, this paper proposes a convolutional autoencoder deep learning framework to support unsupervised image features learning for lung nodule through unlabeled data, which only needs a small…”
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Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Denoising Autoencoder and Deep Convolutional Neural Network by Qu, Zhiyu, Wang, Wenyang, Hou, Changbo, Hou, Chenfan

“…) and deep convolutional neural network (DCNN) is proposed in this paper. First, we use Cohen's time-frequency distribution to convert radar signals into time-frequency images (TFIs…”
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Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder by Jung, Yuyeon, Kim, Taewan, Han, Mi-Ryung, Kim, Sejin, Kim, Geunyoung, Lee, Seungchul, Choi, Youn Jin

“…Discrimination of ovarian tumors is necessary for proper treatment. In this study, we developed a convolutional neural network model with a convolutional autoencoder (CNN-CAE…”
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Seismic random noise suppression using deep convolutional autoencoder neural network by Song, Hui, Gao, Yang, Chen, Wei, Xue, Ya-juan, Zhang, Hua, Zhang, Xiang

“… Contaminated seismic data seriously affect subsequent seismic data processing and imaging. In this paper, we propose a deep convolutional autoencoder neural network for denoising, which consists of encoding and decoding frameworks…”
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Vibration‐based structural health monitoring exploiting a combination of convolutional neural networks and autoencoders for temperature effects neutralization by Parziale, Marc, Lomazzi, Luca, Giglio, Marco, Cadini, Francesco

“…Summary Damage diagnosis in the structural field (mechanical, civil, aerospace, etc.) is a topic of active development and research. In recent years,…”
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Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2 Architectures by Dutta, Monoronjon, Islam Sujan, Md Rashedul, Mojumdar, Mayen Uddin, Chakraborty, Narayan Ranjan, Marouf, Ahmed Al, Rokne, Jon G., Alhajj, Reda

“…) and the Peak Signal-to-Noise Ratio (PSNR). Following this, this work employed advanced neural network architectures for classification, including Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net…”
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Classification of Atypical White Blood Cells in Acute Myeloid Leukemia Using a Two-Stage Hybrid Model Based on Deep Convolutional Autoencoder and Deep Convolutional Neural Network by Elhassan, Tusneem A., Mohd Rahim, Mohd Shafry, Siti Zaiton, Mohd Hashim, Swee, Tan Tian, Alhaj, Taqwa Ahmed, Ali, Abdulalem, Aljurf, Mahmoud

“…Recent advancements in artificial intelligence (AI) have led to numerous medical discoveries. The field of computer vision (CV) for medical diagnosis has…”
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Model order reduction of building energy simulation models using a convolutional neural network autoencoder by Banihashemi, Farzan, Weber, Manuel, Lang, Werner

“… This paper introduces a novel approach to model order reduction (MOR) of BES models. The approach utilizes a deep learning-based unsupervised convolutional neural network autoencoder (CNN-AE…”
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