Výsledky vyhľadávania - Convolutional autoen-coder*

Deep Learning Approach for Epileptic Focus Localization Autor Daoud, Hisham, Bayoumi, Magdy

“… Our first proposed method is based on semi-supervised learning, in which a deep convolutional autoencoder is trained and then the pre-trained encoder is used with multi-layer perceptron as a classifier…”
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A Method for Power Flow Estimation in Power Systems with Incomplete Data Autor He, Xuzhong, Yin, Yushan, Wang, Yuhong, Zheng, Zongsheng, Zhou, Xu

“… This paper proposes a convolutional autoencoder model to enhance power flow estimation in power systems…”
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Unsupervised Convolutional Autoencoder-Based Feature Learning for Automatic Detection of Plant Diseases Autor Pardede, Hilman F., Suryawati, Endang, Sustika, Rika, Zilvan, Vicky

“… In this paper, we present an unsupervised feature learning algorithm using the convolutional autoencoder for detection of plant diseases…”
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Automatic Mapping of Tropical Cyclone-Induced Coastal Inundation in SAR Imagery Based on Clustering of Deep Features Autor Liu, Bin, Li, Xiaofeng, Zheng, Gang

“… In order to liberate the DL-based inundation mapping from human supervision, we propose to use the clustering of deep convolutional autoencoder-generated features…”
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Clustering Continuous Wavelet Transform Characteristics of Heart Rate Variability through Unsupervised Learning Autor Wachowiak, Mark P., Moggridge, Jason J., Wachowiak-Smolikova, Renata

“… Among the applications of unsupervised learning, clustering is one of the most important. In this paper, an unsupervised autoen-coder architecture, deep…”
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Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper) Autor Alam, Mahabubul, Kundu, Satwik, Topaloglu, Rasit Onur, Ghosh, Swaroop

“…). Quantum machine learning (QML) has the potential to revolutionize image classification. In any typical DL-based image classification, we use convolutional neural network (CNN…”
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Generating Synthetic Short-Range FMCW Range-Doppler Maps Using Generative Adversarial Networks and Deep Convolutional Autoencoders Autor de Oliveira, Marcio L. Lima, Bekooij, Marco J. G.

“…In this paper, we discuss the usage of Generative Adversarial Networks (GANs) and Deep Convolutional Autoen-coders (CAE…”
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Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising Autor Ranganath, Aditya, DeGuchy, Omar, Santiago, Fabian, Singhal, Mukesh, Marcia, Roummel

“… Numerical experiments demonstrate that our proposed RNN approach outperforms convolutional autoen-coder methods for denoising and upsampling low-resolution images…”
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Health indicator construction and status assessment of rotating machinery by spatio-temporal fusion of multi-domain mixed features Autor Duan, Yong, Cao, Xiangang, Zhao, Jiangbin, Xu, Xin

“…•An integrated HI model is constructed by taking advantage of SA, LSTM, and ICAE.•RS is used to exact the multi-domain features of the Fourier transformed…”
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SNR Enhancement for Multi-TE MRSI Using Joint Low-Dimensional Model and Spatial Constraints Autor Li, Yahang, Wang, Zepeng, Lam, Fan

“…) data by integrating learned nonlinear low-dimensional model and spatial constraints. A deep complex convolutional autoencoder (DCCAE…”
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Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening Autor Alaverdyan, Zaruhi, Jung, Julien, Bouet, Romain, Lartizien, Carole

“…•We cast the challenging problem of detecting subtle brain lesions as a per voxel outlier detection problem.•Our brain anomaly detection model is trained on…”
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Enhancing Image Security Using DNA and Deep Steganography Autor K K, Mafnitha, K B, Anju

“… In order to solve the above described problems, this project provide a novel encryption method for color pictures that utilizes convolutional autoen- coder, DNA and steganography…”
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DFD-SS: Document Forgery Detection using Spectral – Spatial Features for Hyperspectral Images Autor Jaiswal, Garima, Sharma, Arun, Kumar Yadav, Sumit

“…In the present era of machines and edge-cutting technologies, still document frauds persist. They are done intuitively by using almost identical inks, that it…”
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A Novel Hybrid Attentive Convolutional Autoencoder (HACA) Framework for Enhanced Epileptic Seizure Detection Autor Vaddi, Venkata Narayana, Sikha, Madhu Babu, Kodali, Prakash

“… This study presents a Hybrid Attentive Convolutional Autoen-coder (HACA) framework designed to address challenges in EEG signal processing for seizure detection…”
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A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer's Disease Autor Martinez-Murcia, F. J., Gorriz, J. M., Ramirez, J., Castillo-Barnes, D., Segovia, F., Salas-Gonzalez, D., Ortiz, A.

“… Convolutional networks, and particularly convolutional autoen-coders are known for providing high-level abstract features that describe the internal distribution of data in high-dimensional manifolds…”
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Denoising Method for Wireless Communication Signals Based on Convolutional AutoEncoder Autor Min, Woonggyu, Kim, Jongseok, Jo, Ohyun

“…In this paper, we propose a method to effectively remove noise from signals by utilizing convolutional autoen-coder…”
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Fully convolutional denoising autoencoder for 3D scene reconstruction from a single depth image Autor Palla, Alessandro, Moloney, David, Fanucci, Luca

“…In this work, we propose a 3D scene reconstruction algorithm based on a fully convolutional 3D denoising autoencoder neural network…”
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Comparative Evaluation of Autoencoders for Semi-Supervised Anomaly Detection on Univariate Time Series Data Autor Markovic, Tijana, Moricz, Sara, Leon, Miguel

“…: Feed-forward Autoencoder (AE), Convolutional Neural Network Autoencoder (CNN-AE), and Long-short Term Memory Autoen-coder (LSTM-AE…”
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Advances in Explainable Artificial Intelligence

“…Machine Learning (ML)-based Artificial Intelligence (AI) algorithms have the capability to learn from known examples, creating various abstract representations…”
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