Search Results - neural network with encoder-decoder architecture*

An intelligent speech enhancement model using enhanced heuristic-based residual convolutional neural network with encoder-decoder architecture by Balasubrahmanyam, M., Valarmathi, R. S.

“…As the listening capacity exists in humans, they are facing the critical issues of understanding the speeches even in the presence of some background or other…”
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Analysis of the effectiveness of two different loss functions in training a neural network in lung image reconstruction using impedance tomography by Lalak-Dybała, Małgorzata, Stefaniak, Barbara, Olszewski, Paweł

“… The authors of the article compared the effectiveness of two different loss functions in training a neural network, which is tasked with accurately replicating the lung structure based on electrical…”
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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…”
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Trichomonas vaginalis Detection Using Two Convolutional Neural Networks with Encoder-Decoder Architecture by Wang, Xiangzhou, Du, Xiaohui, Liu, Lin, Ni, Guangming, Zhang, Jing, Liu, Juanxiu, Liu, Yong

“… In order to solve this problem, we propose two convolutional neural networks based on an encoder-decoder architecture…”
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New encoder–decoder convolutional LSTM neural network architectures for next-day global ionosphere maps forecast by de Paulo, M. C. M., Marques, H. A., Feitosa, R. Q., Ferreira, M. P.

“…). Here, we propose convolutional recurrent neural network architectures to forecast VTEC based on global ionosphere maps (GIMs…”
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Signal-to-Noise Ratio Improvement for Multiple-Pinhole Imaging Using Supervised Encoder–Decoder Convolutional Neural Network Architecture by Danan, Eliezer, Shabairou, Nadav, Danan, Yossef, Zalevsky, Zeev

“… In this research, a supervised encoder–decoder convolution neural network was used to fix image distortion stemming from the limited accuracy of inverse filter methods (Wiener filter, Lucy–Richardson deconvolution, etc.). Particularly, we will correct image degradation that mainly stems from duplications arising from multiple-pinhole array imaging…”
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Convolutional neural network based encoder-decoder architectures for semantic segmentation of plants by Kolhar, Shrikrishna, Jagtap, Jayant

“… We design and implement convolutional neural network (CNN) based modified residual U-Net for semantic segmentation of plants from the background…”
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Pattern recognition of soldier uniforms with dilated convolutions and a modified encoder-decoder neural network architecture by Morocho-Cayamcela, Manuel Eugenio, Lim, Wansu

“… The soldier detection is achieved by training a convolutional neural network to learn the patterns of the soldier's uniforms…”
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Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder–decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates by Tandale, Saurabh Balkrishna, Stoffel, Marcus

“…The aim of the present study is to analyse and predict the structural deformations occurring during shock tube experiments with a series of recurrent and temporal convolutional neural networks…”
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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…”
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MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis by Aboutalebi, Hossein, Pavlova, Maya, Gunraj, Hayden, Shafiee, Mohammad Javad, Sabri, Ali, Alaref, Amer, Wong, Alexander

“… While self-attention deep convolutional neural network architectures in existing literature center around the notion of multiple isolated lightweight attention mechanisms with limited individual…”
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Attention-based deep learning models for predicting anomalous shock of wastewater treatment plants by Zhang, Yituo, Wang, Jihong, Li, Chaolin, Duan, Hengpan, Wang, Wenhui

“…•Propose attention-based deep learning models to predict abnormal influent of WWTP.•Feature-temporal attention-based LSTM has the best accuracy (0–85 % higher…”
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PolypSegNet: A modified encoder-decoder architecture for automated polyp segmentation from colonoscopy images by Mahmud, Tanvir, Paul, Bishmoy, Fattah, Shaikh Anowarul

“… In this paper, an encoder-decoder based modified deep neural network architecture is proposed, named as PolypSegNet, to overcome…”
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Encoder-Decoder Neural Network Architecture for solving Job Shop Scheduling Problems using Reinforcement Learning by Magalhaes, Ricardo, Martins, Miguel, Vieira, Susana, Santos, Filipe, Sousa, Joao

“…This paper proposes an Encoder-Decoder neural network architecture with Attention Mechanism for solving the DRC-FJSSP using Deep Q-Learning…”
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WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects by Nag, Subhrajit, Makwana, Dhruv, R, Sai Chandra Teja, Mittal, Sparsh, Mohan, C.Krishna

“… In this paper, we present WaferSegClassNet (WSCN), a novel network based on encoder-decoder architecture…”
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Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis by Gao, Fei, Wu, Teresa, Chu, Xianghua, Yoon, Hyunsoo, Xu, Yanzhe, Patel, Bhavika

“… In this research, we propose a new architecture of residual inception encoder- decoder neural network (RIED-Net…”
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation by Badrinarayanan, Vijay, Kendall, Alex, Cipolla, Roberto

“…We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet…”
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T-Net: Nested encoder–decoder architecture for the main vessel segmentation in coronary angiography by Jun, Tae Joon, Kweon, Jihoon, Kim, Young-Hak, Kim, Daeyoung

“…In this paper, we proposed nested encoder–decoder architecture named T-Net. T-Net consists of several small encoder…”
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Modifying the U-Net’s Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images by Derakhshandeh, Sina, Mahloojifar, Ali

“…Segmentation is one of the most significant steps in image processing. Segmenting an image is a technique that makes it possible to separate a digital image…”
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A Deep Learning-Based Chemical System for QSAR Prediction by Hu, ShanShan, Chen, Peng, Gu, Pengying, Wang, Bing

“… This article proposes a novel deep-learning-based method to implement QSAR prediction by the concatenation of end-to-end encoder-decoder model and convolutional neural network (CNN) architecture…”
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