Results 1 to 10 of about 27,158 (119)
Deep Medical Image Reconstruction with Autoencoders using Deep Boltzmann Machine Training [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2020 INTRODUCTION: Deep learning-based Image compression achieves a promising result in recent years as compared with the traditional transform coding methodology.
Saravanan. S, Sujitha Juliet
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Abnormal Network Traffic Detection Method Combining Mahalanobis Distance and Autoencoder [PDF]
Jisuanji gongcheng, 2022 The existing abnormal traffic detection methods are limited in the accuracy due to the large scale of network traffic data and its imbalanced distribution.To address the problem, a method combining Mahalanobis distance and autoencoder is proposed to ...
LI Beibei, PENG Li, DAI Feifei
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Dual Autoencoder Network with Separable Convolutional Layers for Denoising and Deblurring Images
Journal of Imaging, 2022 A dual autoencoder employing separable convolutional layers for image denoising and deblurring is represented. Combining two autoencoders is presented to gain higher accuracy and simultaneously reduce the complexity of neural network parameters by using ...
Elena Solovyeva, Ali Abdullah
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Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder
Frontiers in Genetics, 2022 The last decades have witnessed a vast amount of interest and research in feature representation learning from multiple disciplines, such as biology and bioinformatics.
Yishuai Geng +3 more
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Autoencoder untuk Sistem Prediksi Berat Lahir Bayi
Jurnal Teknologi Informasi dan Ilmu Komputer, 2022 Salah satu ukuran terpenting saat awal persalinan adalah keakuratan prediksi berat lahir. Dengan menggunakan metode prediksi yang tepat, perkiraan ekstrim berat lahir bayi dapat dideteksi lebih atau kurang sehingga beberapa tindakan pencegahan dapat ...
Fitra Septia Nugraha +1 more
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RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data
Journal of Biological Engineering, 2023 Background In the current genomic era, gene expression datasets have become one of the main tools utilized in cancer classification. Both curse of dimensionality and class imbalance problems are inherent characteristics of these datasets.
Ahmed Arafa +3 more
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Anomaly Detection for Agricultural Vehicles Using Autoencoders
Sensors, 2022 The safe in-field operation of autonomous agricultural vehicles requires detecting all objects that pose a risk of collision. Current vision-based algorithms for object detection and classification are unable to detect unknown classes of objects. In this
Esma Mujkic +4 more
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Extended Autoencoder for Novelty Detection with Reconstruction along Projection Pathway
Applied Sciences, 2020 Recently, novelty detection with reconstruction along projection pathway (RaPP) has made progress toward leveraging hidden activation values. RaPP compares the input and its autoencoder reconstruction in hidden spaces to detect novelty samples ...
Seung Yeop Shin, Han-joon Kim
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Review on autoencoder and its application
Tongxin xuebao, 2021 As a typical deep unsupervised learning model, autoencoder can automatically learn effective abstract features from unlabeled samples.In recent years, autoencoder has been widely used in target recognition, intrusion detection, fault diagnosis and many ...
Jie LAI +4 more
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Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2023 This paper presents a new hybrid algorithm using multiple Support Vector Machines models with convolutional autoencoder to Electrical Impedance Tomography, and Ultrasound Computed Tomography image reconstruction.
Łukasz Maciura +3 more
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