Suchergebnisse - Deep Encoder-decoder Neural Network

A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems von Rahman, Md Mijanur, Uzzaman, Ashik, Sami, Sadia Islam, Khatun, Fatema, Bhuiyan, Md Al‐Amin

“… This study introduces a novel encoder–decoder framework based on deep neural networks and provides a thorough investigation into the field of automatic picture captioning systems …”
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An encoder–decoder deep neural network for binary segmentation of seismic facies von Lima, Gefersom, Zeiser, Felipe André, da Silveira, Ariane, Rigo, Sandro, de Oliveira Ramos, Gabriel

“… In particular, we present a Deep Neural Network for Facies Segmentation (DNFS), which builds upon StNet and U-Net with different …”
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Anomaly Detection and Segmentation for Wafer Defect Patterns Using Deep Convolutional Encoder-Decoder Neural Network Architectures in Semiconductor Manufacturing von 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 …”
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Deep encoder–decoder hierarchical convolutional neural networks for conjugate heat transfer surrogate modeling von Ebbs-Picken, Takiah, Romero, David A., Da Silva, Carlos M., Amon, Cristina H.

“… In this work, we develop a modular deep encoder–decoder hierarchical (DeepEDH) convolutional neural network, a novel deep-learning-based surrogate modeling methodology for computationally intensive CHT analyses …”
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Deep Encoder–Decoder Neural Networks for Retinal Blood Vessels Dense Prediction von Zhang, Wenlu, Li, Lusi, Cheong, Vincent, Fu, Bo, Aliasgari, Mehrdad

“… In this study, we propose a novel encoder-decoder architecture based …”
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A deep encoder-decoder neural network model for total organic carbon content prediction from well logs von 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 …”
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Cloud and Snow Segmentation in Satellite Images Using an Encoder–Decoder Deep Convolutional Neural Networks von Zheng, Kai, Li, Jiansheng, Ding, Lei, Yang, Jianfeng, Zhang, Xucheng, Zhang, Xun

“… In this paper, a cloud and snow segmentation method based on a deep convolutional neural network (DCNN …”
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Statistical Post-Processing for Gridded Temperature Prediction Using Encoder–Decoder-Based Deep Convolutional Neural Networks von KUDO, Atsushi

“… has been challenging.In this study, an encoder–decoder-based convolutional neural network has been proposed to predict gridded temperatures at the surface around the Kanto region in Japan …”
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Predicting wind farm wake losses with deep convolutional hierarchical encoder–decoder neural networks von Romero, David A., Hasanpoor, Saeede, Antonini, Enrico G. A., Amon, Cristina H.

“… In this work, we propose DeepWFLO, a deep convolutional hierarchical encoder–decoder neural network architecture, as an image-to-image surrogate model for predicting the wind velocity field for Wind Farm Layout Optimization (WFLO …”
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Deep Convolutional Symmetric Encoder—Decoder Neural Networks to Predict Students’ Visual Attention von Hachaj, Tomasz, Stolińska, Anna, Andrzejewska, Magdalena, Czerski, Piotr

“… of quizzes based on quiz questionnaire images. Our proposal utilizes several deep encoder–decoder symmetric schemas which are trained on a large set of saliency maps generated with eye tracking technology …”
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Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation von Budak, Ümit, Guo, Yanhui, Tanyildizi, Erkan, Şengür, Abdulkadir

“… Two deep encoder-decoder convolutional neural networks (EDCNN) were constructed and trained to cascade segments of both the liver and lesions in CT images with limited image quantity …”
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Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug Design von Shi, Wentao, Singha, Manali, Srivastava, Gopal, Pu, Limeng, Ramanujam, J., Brylinski, Michal

“… In particular, deep neural networks are powerful techniques capable of learning from complex data in order to make informed drug binding predictions …”
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Swarm of MASSs Cyber-Security for Anti-Hijack System Based on Blockchain and Chaotic-Steganography Using VRF-PBFT and Encoder-Decoder Deep Neural Networks von Gao, Miao, Jia, Chuanying, Liu, Jiao, Geng, Xiongfei, Ding, Gege, Shi, Peiru, Xia, Yu, Chen, Shuai, Kang, Zhen, Zhang, Anmin

“… the watermark camouflage image and ensure the security and concealment of important information transmitted in the ship Ad hoc network …”
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Deep Cascade Residual Networks (DCRNs): Optimizing an Encoder-Decoder Convolutional Neural Network for Low-Dose CT Imaging von Huang, Zhenxing, Chen, Zixiang, Quan, Guotao, Du, Yanfeng, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli

“… )-based image restoration methods have been proposed over the past few years. Many of these popular DL-based methods adopt an encoder-decoder framework, for instance, the residual encoder-decoder convolutional neural network …”
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Brain stroke classification and segmentation using encoder-decoder based deep convolutional neural networks von Yalçın, Sercan, Vural, Hüseyin

“… In this study, U-Net, one of the encoder-decoder deep learning-based convolutional neural networks (CNNs …”
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Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media von Mo, Shaoxing, Zhu, Yinhao, Zabaras, Nicholas, Shi, Xiaoqing, Wu, Jichun

“… In this paper, we propose a deep convolutional encoder‐decoder neural network methodology to tackle these issues …”
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A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection von Maneerat, Noppadol, Narkthewan, Athasart, Hamamoto, Kazuhiko

“… +X, and then cropped by a bounding box. Using the cropped lung images, we trained several pre-trained Deep Convolutional Neural Networks (DCNNs …”
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Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals von 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 …”
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Physics-informed deep convolutional hierarchical encoder-decoder neural network for flow field prediction in wind farms von 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 …”
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Deep encoder/decoder dual-path neural network for speech separation in noisy reverberation environments von Wang, Chunxi, Jia, Maoshen, Zhang, Xinfeng

“… Firstly, the time-domain end-to-end network structure of a deep encoder/decoder dual-path neural network is introduced in this paper for speech separation …”
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