Výsledky vyhledávání - "Encoder-Decoder Neural Network"

Gamma ray spectrum inversion based on master-secondary encoder-decoder network Autor Hu, Rundu, Liu, Jian, Zhou, Ruijie, Hu, Liqun

“…Gamma-ray diagnosis can detect the energy and spatial distribution of fast ions, as well as identify disruption signs. The detector's response to the gamma-ray…”
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Tensor Completion Network for Visual Data Autor Wang, Xiang-Yu, Li, Xiao-Peng, Sidiropoulos, Nicholas D., So, Hing Cheung

“…Tensor completion aims at filling in the missing elements of an incomplete tensor based on its partial observations, which is a popular approach for image…”
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Capturing the dynamics of microbial interactions through individual-specific networks Autor Yousefi, Behnam, Melograna, Federico, Galazzo, Gianluca, van Best, Niels, Mommers, Monique, Penders, John, Schwikowski, Benno, Van Steen, Kristel

“…Longitudinal analysis of multivariate individual-specific microbiome profiles over time or across conditions remains dauntin. Most statistical tools and…”
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DeepLib: Machine translation techniques to recommend upgrades for third-party libraries Autor Nguyen, Phuong T., Di Rocco, Juri, Rubei, Riccardo, Di Sipio, Claudio, Di Ruscio, Davide

“…To keep their code up-to-date with the newest functionalities as well as bug fixes offered by third-party libraries, developers often need to replace an old…”
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A deep encoder-decoder neural network model for total organic carbon content prediction from well logs Autor 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.•The DEDNN model shows more accurate and sensitive than ΔLogR…”
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MCSDNet: Mesoscale Convective System Detection Network via Multiscale Spatiotemporal Information Autor Zhang, Baoquan, Liang, Jiajun, Ye, Rui, Luo, Chuyao, Li, Xutao, Ye, Yunming, Fu, Xukai

“…The accurate detection of mesoscale convective systems (MCSs) is crucial for meteorological monitoring due to their potential to cause significant destruction…”
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FIACCEL: Memory Efficient Frame Interpolation Accelerator for Full-HD Video Autor Jeong, Min Wu, Rhee, Chae Eun

“…Frame interpolation (FI) is a challenging task that involves generating intermediate frames between two consecutive frames of a video to achieve smooth motion…”
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DRL-based Optimal Scheduling for On-orbit Service with the Encoder-decoder network Autor Zhang, Jierui, Si, Chaoming, Ma, Changbo, Chen, Ting, Xia, Hongwei, Ma, Guangcheng

“…In this paper, we present a deep reinforcement learning (DRL) based strategy for optimizing the scheduling of satellite on-orbit services. The orbital…”
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Quantum recurrent encoder–decoder neural network for performance trend prediction of rotating machinery Autor Chen, Yong, Li, Feng, Wang, Jiaxu, Tang, Baoping, Zhou, Xueming

“…Traditional neural networks generally neglect the primary and secondary relationships of input information and process the information indiscriminately, which…”
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A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring Autor Liu, Yinyan, Qiu, Jing, Lu, Junda, Wang, Wei, Ma, Jin

“…As one of the most important smart grid features, non-intrusive load monitoring (NILM) has become a practical technology for identifying the users' energy…”
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Underwater Acoustic Signal Noise Reduction Based on a Fully Convolutional Encoder-Decoder Neural Network Autor Song, Yongqiang, Chu, Qian, Liu, Feng, Wang, Tao, Shen, Tongsheng

“…Noise reduction analysis of signals is essential for modern underwater acoustic detection systems. The traditional noise reduction techniques gradually lose…”
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Panda: Reinforcement Learning-Based Priority Assignment for Multi-Processor Real-Time Scheduling Autor Lee, Hyunsung, Lee, Jinkyu, Yeom, Ikjun, Woo, Honguk

“…Recently, deep reinforcement learning (RL) technologies have been considered as a feasible solution for tackling combinatorial problems in various research and…”
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Semantic segmentation of oblique UAV video based on ConvLSTM in complex urban area Autor Majidizadeh, Abbas, Hasani, Hadiseh, Jafari, Marzieh

“…Semantic segmentation of UAV data has been one of the research hotspots in recent years. Many applications, such as the aerial mapping of urban–rural areas,…”
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Comparative Study of Encoder-decoder-based Convolutional Neural Networks in Cartilage Delineation from Knee Magnetic Resonance Images Autor Yong, Ching Wai, Lai, Khin Wee, Murphy, Belinda Pingguan, Hum, Yan Chai

“…Osteoarthritis (OA) is a common degenerative joint inflammation that may lead to disability. Although OA is not lethal, this disease will remarkably affect…”
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Natural Language Processing: Emerging Neural Approaches and Applications

“…This Special Issue highlights the most recent research being carried out in the NLP field to discuss relative open issues, with a particular focus on both…”
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Reliable Classification of FAQs with Spelling Errors Using an Encoder-Decoder Neural Network in Korean Autor Jang, Youngjin, Kim, Harksoo

“…To resolve lexical disagreement problems between queries and frequently asked questions (FAQs), we propose a reliable sentence classification model based on an…”
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Delaunay Triangulation Data Augmentation Guided by Visual Analytics for Deep Learning Autor Peixinho, Alan Zanoni, Benato, Barbara Caroline, Nonato, Luis Gustavo, Falcao, Alexandre Xavier

“…It is well known that image classification problems can be effectively solved by Convolutional Neural Networks (CNNs). However, the number of supervised…”
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Comparison between Adam, AdaMax and Adam W optimizers to implement a Weather Forecast based on Neural Networks for the Andean city of Quito Autor Llugsi, Ricardo, Yacoubi, Samira El, Fontaine, Allyx, Lupera, Pablo

“…The main function of an optimizer is to determine in what measure to change the weights and the learning rate of the neural network to reduce losses. One of…”
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A 307-fps 351.7-GOPs/W Deep Learning FPGA Accelerator for Real-Time Scene Text Recognition Autor Zhao, Shirui, An, Fengwei, Yu, Hao

“…FPGA-based deep learning accelerator has become important for high throughput and low power inference at edges. In this paper, we have developed a…”
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Thermal colorization using deep neural network Autor Qayynm, Usman, Ahsan, Qaisar, Mahmood, Zahid, Chcmdary, M. Ali

“…Visual and thermal cameras have large modality gap while providing different information of the same scene. The spectral mapping of thermal imagery into color…”
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