Search Results - "Autoencoder denoising"

Efficient Deep-Learning-Based Autoencoder Denoising Approach for Medical Image Diagnosis by El-Shafai, Walid, Abd El-Nabi, Samy, M. El-Rabaie, El-Sayed, M. Ali, Anas, F. Soliman, Naglaa, D. Algarni, Abeer, E. Abd El-Samie, Fathi

“…Effective medical diagnosis is dramatically expensive, especially in third-world countries. One of the common diseases is pneumonia, and because of the…”
Get full text

Wireless recording and autoencoder denoising of intestinal activity in freely moving rats by Ishii, Yamato, Matsumoto, Nobuyoshi, Ikegaya, Yuji, Kashima, Tetsuhiko

“…Conventional wired systems for recording intestinal motility using strain-gauge transducers physically limit animal movement and are not ideal for long-term…”
Get more information

Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a deep convolutional Encoder-Decoder filtering model by Hajeb-M, Shirin, Cascella, Alicia, Valentine, Matt, Chon, K.H.

“…•This is a new filtering technique for AEDs to suppress CPR artifacts from ECG signal.•We demonstrated an application of a deep convolutional encoder-decoder…”
Get full text

Denoising-autoencoder-facilitated MEMS computational spectrometer with enhanced resolution on a silicon photonic chip by Zhou, Jing, Zhang, Hui, Qiao, Qifeng, Chen, Heng, Huang, Qian, Wang, Hanxing, Ren, Qinghua, Wang, Nan, Ma, Yiming, Lee, Chengkuo

“… Here, we propose a distinct paradigm of spectrometers through synergizing an easily-fabricated MEMS-reconfigurable low-loss waveguide coupler on a silicon photonic chip and a convolutional autoencoder denoising (CAED) mechanism…”
Get full text

An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm by Li, Xingqiu, Jiang, Hongkai, Niu, Maogui, Wang, Ruixin

“… Secondly, to ensure the diversity of the base models, sparse autoencoder, denoising autoencoder and linear decoder are used to construct different deep autoencoders…”
Get full text

Anti‐interference lithium‐ion battery intelligent perception for thermal fault detection and localization by Tian, Luyu, Dong, Chaoyu, Wang, Rui, Mu, Yunfei, Jia, Hongjie

“…: autoencoder denoising network, coarse mask generator, and mask precise adjustment. Autoencoder denoising network can reduce data noise during thermal imaging acquisition, improve the anti…”
Get full text

Image Denoising using Autoencoders : Denoising noisy imgaes by removing noisy pixels/grains from natural images using Deep learning and autoencoders techniques by Kulkarni, Uday, Patil, Sachin, E, Vikas, Patil, Rahul, Kulkarni, Bodha, M, Meena S., Shanbhag, Akshay

“…Denoising images is widely used in applications from critical medical systems to software based image enhancement in our cell phones. The natural noise is…”
Get full text

Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study by Li, Deyi, Shukla, Aditi, Chandaka, Sravani, Taylor, Bradley, Xu, Jie, Liu, Mei

“…? This study aims to evaluate the performance of 5 common AE variants-vanilla autoencoder, denoising autoencoder, contractive autoencoder, sparse autoencoder, and robust autoencoder-in retrieving similar patients…”
Get full text

Removal of speckle noises from ultrasound images using five different deep learning networks by Karaoğlu, Onur, Bilge, Hasan Şakir, Uluer, İhsan

“… Five different deep learning networks (Dilated Convolution Autoencoder Denoising Network/Di-Conv-AE-Net, Denoising U-Shaped Net/D-U-Net, BatchRenormalization U-Net…”
Get full text

An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature Fusion Based on Information Entropy by Shang, Zhiwu, Li, Wanxiang, Gao, Maosheng, Liu, Xia, Yu, Yan

“… First, a normal autoencoder, denoising autoencoder, sparse autoencoder, and contractive autoencoder are used in parallel to construct a multi-scale deep neural network feature extraction structure…”
Get full text

Laser stripe image denoising using convolutional autoencoder by Fang, Zhuoqun, Jia, Tong, Chen, Qiusheng, Xu, Ming, Yuan, Xi, Wu, Chengdong

“… In this work, a convolutional autoencoder denoising method is proposed to restore the corrupted laser stripe images of the depth sensor, which directly reduces the external noise of the depth sensor…”
Get full text

Deep autoencoder based image enhancement approach with hybrid feature extraction for plant disease detection using supervised classification by Huddar, Suma, Prabhushetty, Kopparagaon, Jakati, Jagadish, Havaldar, Raviraj, Sirdeshpande, Nandakishor

“… This study presents an innovative approach for plant leaf disease detection by integrating wavelet analysis, color, and texture features, coupled with autoencoder denoising and support vector machine (SVM) classification…”
Get full text

Web Based Anomaly Detection using Zero-Shot Learning with CNN by Demirel, Dilek Yilmazer, Sandikkaya, Mehmet Tahir

“…In recent years, cyberattacks have become a persistent threat, especially for websites. Therefore, web application security has become a significant issue in…”
Get full text

Denoising Raman Spectra Using Autoencoder for Improved Analysis of Contamination in HDD by Gulyanon, Sarun, Deepaisarn, Somrudee, Chokphantavee, Sorawit, Chokphantavee, Sirawit, Prathipasen, Phuriphan, Laitrakun, Seksan, Opaprakasit, Pakorn, Viriyavit, Waranrach, Jaikaew, Narisara, Jindakaew, Jirawan, Rakpongsiri, Pornchai, Meechamnan, Thawanpat, Sompongse, Duangporn

“…Small particles contaminated in hard disk drives (HDD) potentially cause damage to the device, leading to data loss. Hard disk industries, therefore, pay…”
Get full text

GOOSE-Optimized Deep Autoencoder for Intrusion Detection in IoMT Networks: A Scalable and Efficient Approach for Healthcare Security by Priyadarshani, Pooja Puspita, Nayak, Janmenjoy, Dash, Pandit Byomakesha

Get full text

A study on noise reduction for dual-energy CT material decomposition with autoencoder by Li, Mohan, Wang, Zhe, Xu, Qiong, Zhang, Zhidu, Cheng, Zhiwei, Liu, Shuangquan, Liu, Baodong, Wei, Cunfeng, Wei, Long

“…Purpose A major challenge for the material decomposition task of the dual-energy computed tomography (DECT) is the algorithm often suffers from heavy noise in…”
Get full text

Proxy Individual Positioning via IEEE 802.11 Monitor Mode and Fine-Tuned Analytics by You, Myungsung, Park, Soochang, Lee, Sang-Hoon, Yang, Taehun

“…Indoor positioning of individuals is one of the most important technologies in smart home applications for user-customized support. The indoor positioning is…”
Get full text

An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature Fusion Based on Information Entropy by Zhiwu Shang, Wanxiang Li, Maosheng Gao, Xia Liu, Yan Yu

“… entropy.First,a normal autoencoder,denoising autoencoder,sparse autoencoder,and contractive autoencoder are used in parallel to construct a multi-scale deep neural network feature extrac-tion…”
Get full text

Competent Ultra Data Compression By Enhanced Features Excerption Using Deep Learning Techniques by Nagaraj, P., Rao, J. Surendra, Muneeswaran, V., Sudheer Kumar, A., Muthamil sudar, K.

“…%. The Convolutional LSTM model is compared with other models such as autoencoder, denoising autoencoder, convolutional neural network and our present work shows better RMSE compared to the other…”
Get full text

Relational autoencoder for feature extraction by Qinxue Meng, Catchpoole, Daniel, Skillicom, David, Kennedy, Paul J.

“… We also extend it to work with other major autoencoder models including Sparse Autoencoder, Denoising Autoencoder and Variational Autoencoder…”
Get full text