Search Results - "Encoder–decoder neural network"

A Multimodal Encoder–Decoder Neural Network for Forecasting Solar Wind Speed at L1 by Dhuri, Dattaraj B., Hanasoge, Shravan M., Joon, Harsh, SM, Gopika, Das, Dipankar, Kaul, Bharat

“… This work presents an encoder–decoder neural network framework for simultaneously forecasting the daily averaged solar wind speed for the subsequent 4 days. The encoder…”
Get full text

Anomaly Detection and Segmentation for Wafer Defect Patterns Using Deep Convolutional Encoder-Decoder Neural Network Architectures in Semiconductor Manufacturing by Nakazawa, Takeshi, Kulkarni, Deepak V.

“… We present a method for detecting and segmenting abnormal wafer map defect patterns using deep convolutional encoder-decoder neural network architectures…”
Get full text

Effective encoder-decoder neural network for segmentation of orbital tissue in computed tomography images of Graves’ orbitopathy patients by Lee, Seung Hyeun, Lee, Sanghyuck, Lee, Jaesung, Lee, Jeong Kyu, Moon, Nam Ju

“…To propose a neural network (NN) that can effectively segment orbital tissue in computed tomography (CT) images of Graves' orbitopathy (GO) patients. We…”
Get full text

Quantum recurrent encoder–decoder neural network for performance trend prediction of rotating machinery by Chen, Yong, Li, Feng, Wang, Jiaxu, Tang, Baoping, Zhou, Xueming

“…). In view of this, a novel neural network called quantum recurrent encoder–decoder neural network (QREDNN…”
Get full text

A deep encoder-decoder neural network model for total organic carbon content prediction from well logs by Zhang, Wang, Shan, Xiaocai, Fu, Boye, Zou, Xinyu, Fu, Li-Yun

“…•This work proposed a deep encoder-decoder neural network (DEDNN) for predicting TOC contents…”
Get full text

Towards CSI-based diversity activity recognition via LSTM-CNN encoder-decoder neural network by Guo, Linlin, Zhang, Hang, Wang, Chao, Guo, Weiyu, Diao, Guangqiang, Lu, Bingxian, Lin, Chuang, Wang, Lei

“…Human activity recognition using WiFi signals is widespread for smart-environment sensing domain in recent years. Existing researches use learning-based…”
Get full text

An Encoder-Decoder Neural Network With 3D Squeeze-and-Excitation and Deep Supervision for Brain Tumor Segmentation by Liu, Ping, Dou, Qi, Wang, Qiong, Heng, Pheng-Ann

“… To tackle these issues, we proposed an encoder-decoder neural network, i.e. deep supervised 3D Squeeze-and-Excitation V-Net (DSSE-V-Net…”
Get full text

Encoder–decoder neural network for solving the nonlinear Fokker–Planck–Landau collision operator in XGC by Miller, M. A., Churchill, R. M., Dener, A., Chang, C. S., Munson, T., Hager, R.

“…An encoder–decoder neural network has been used to examine the possibility for acceleration of a partial integro-differential equation, the Fokker–Planck…”
Get full text

The local ternary pattern encoder–decoder neural network for dental image segmentation by Salih, Omran, Duffy, Kevin Jan

“…Recent advances in medical imaging analyses, especially the use of deep learning, are helping to identify, detect, classify, and quantify patterns in…”
Get full text

Hydraulic heterogeneity estimation with transient hydraulic tomography and convolutional encoder-decoder neural network by Chen, Yu-Kai, Tsai, Jui-Pin, Wang, Bo-Tsen, Chang, Chia-Hao

“…This study proposes a hydraulic tomography neural network (HT-NN) based on a convolutional encoder-decoder neural network (DenseNet…”
Get full text

A fully-convolutional residual encoder-decoder neural network to localize breast cancer on histopathology images by Farajzadeh, Nacer, Sadeghzadeh, Nima, Hashemzadeh, Mahdi

“…Cancer detection in its early stages may allow patients to receive the proper treatment and save lives along with recovering the routine lifestyles. Breast…”
Get full text

Underwater Acoustic Signal Noise Reduction Based on a Fully Convolutional Encoder-Decoder Neural Network by Song, Yongqiang, Chu, Qian, Liu, Feng, Wang, Tao, Shen, Tongsheng

“… A fully convolutional encoder-decoder neural network (FCEDN) is proposed to address the issue of noise reduction in underwater acoustic signals…”
Get full text

PAPR Reduction of GFDM Signals Using Encoder-Decoder Neural Network (Autoencoder) by Chakravarty, Sumit, Kumar, Arun

“… The PAPR-reducing network (PRNet), also known as the PAPR-reducing method, is based on the encoder-decoder neural network (Autoencoder…”
Get full text

Physics-informed deep convolutional hierarchical encoder-decoder neural network for flow field prediction in wind farms by Hasanpoor, Saeede, Romero, David A., Moran, Joaquin E., Amon, Cristina H.

“…) simulations to calculate the flow field within the farm. In this study, we propose PI-DeepWFLO, a physics-informed deep convolutional hierarchical encoder-decoder neural…”
Get full text

Pattern recognition of soldier uniforms with dilated convolutions and a modified encoder-decoder neural network architecture by Morocho-Cayamcela, Manuel Eugenio, Lim, Wansu

“…In this paper, we study a deep learning (DL)-based multimodal technology for military, surveillance, and defense applications based on a pixel-by-pixel…”
Get full text

Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network by Czerkawski, Mikolaj, Ilioudis, Christos, Clemente, Carmine, Michie, Craig, Andonovic, Ivan, Tachtatzis, Christos

“… Results show that a convolutional encoder-decoder neural network with a variational objective is capable of learning a meaningful representation space of vital sign Doppler-time distribution…”
Get full text

An Encoder-Decoder Neural Network for Indefinite Length Digit Sequences in Natural Scene Recognition by Zhang, Tong, Zhang, Erhan, Zhang, Hanfeng, Shen, Feihong, Guo, Dongwei, Lin, Kaichao

“… In this paper, an encoder-decoder neural network model is proposed to solve the problem of recognition of indefinite length digit sequences in natural scene…”
Get full text

Encoder-Decoder Neural Network with Attention Mechanism for Types Detection in Linked Data by Hamel, Oussama, Fareh, Messaouda

“…With the emergence of use of Linked Data in different application domains, several problems have arisen, such as data incompleteness. Type detection for…”
Get full text

Cost-Effective Foliage Penetration Human Detection Under Severe Weather Conditions Based on Auto-Encoder/Decoder Neural Network by Huang, Yan, Zhong, Yi, Wu, Qiang, Dutkiewicz, Eryk, Jiang, Ting

“…Military surveillance events and rescue activities are vital missions for the Internet-of-Things. To this end, foliage penetration for human detection plays an…”
Get full text

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals by Rey, Samuel, Tenorio, Victor, Rozada, Sergio, Martino, Luca, Marques, Antonio G.

“…Neural networks (NNs) and graph signal processing have emerged as important actors in data-science applications dealing with complex (non-linear,…”
Get full text