Výsledky vyhľadávania - "encoder-decoder model"

CNN-based encoder-decoder networks for salient object detection: A comprehensive review and recent advances Autor Ji, Yuzhu, Zhang, Haijun, Zhang, Zhao, Liu, Ming

“…•A comprehensive literature review and recent advances are provided for SOD.•A thoroughly empirical study on baseline encoder-decoder models is presented.•New…”
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An asymmetric encoder–decoder model for Zn-ion battery lifetime prediction Autor Lu, Siyu, Yin, Zhengtong, Liao, Shengjun, Yang, Bo, Liu, Shan, Liu, Mingzhe, Yin, Lirong, Zheng, Wenfeng

“…As the battery cycles between charging and discharging, the working conditions or improper operations such as overcharge and over discharge will aggravate the…”
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A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction Autor Li, Fa, Gui, Zhipeng, Zhang, Zhaoyu, Peng, Dehua, Tian, Siyu, Yuan, Kunxiaojia, Sun, Yunzeng, Wu, Huayi, Gong, Jianya, Lei, Yichen

“…•A hierarchical temporal attention based model is proposed to support short-term and long-term human mobility sequence prediction.•The proposed hierarchical…”
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Chaotic time series prediction of nonlinear systems based on various neural network models Autor Sun, Ying, Zhang, Luying, Yao, Minghui

“…This paper discusses the chaos prediction of nonlinear systems using various neural networks based on the modified substructure data-driven modeling…”
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Deep learning-based concrete defects classification and detection using semantic segmentation Autor Arafin, Palisa, Billah, Ahm Muntasir, Issa, Anas

“…Visual damage detection of infrastructure using deep learning (DL)-based computational approaches can facilitate a potential solution to reduce subjectivity…”
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Salient object detection via multi-scale attention CNN Autor Ji, Yuzhu, Zhang, Haijun, Jonathan Wu, Q.M.

“…Fully convolutional network (FCN) based semantic segmentation models have largely inspired most recent works in the field of salient object detection. However,…”
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A novel Encoder-Decoder model based on read-first LSTM for air pollutant prediction Autor Zhang, Bo, Zou, Guojian, Qin, Dongming, Lu, Yunjie, Jin, Yupeng, Wang, Hui

“…Accurate air pollutant prediction allows effective environment management to reduce the impact of pollution and prevent pollution incidents. Existing studies…”
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Spatial-Temporal Context-Aware Online Action Detection and Prediction Autor Huang, Jingjia, Li, Nannan, Li, Thomas, Liu, Shan, Li, Ge

“…Spatial-temporal action detection in videos is a challenging problem that has attracted considerable attention in recent years. Most current approaches address…”
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Filling gaps of cartographic polylines by using an encoder-decoder model Autor Yu, Wenhao, Chen, Yujie

“…Geospatial studies must address spatial data quality, especially in data-driven research. An essential concern is how to fill spatial data gaps (missing data),…”
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SED: Searching Enhanced Decoder with switchable skip connection for semantic segmentation Autor Zhang, Xian, Quan, Zhibin, Li, Qiang, Zhu, Dejun, Yang, Wankou

“…Neural architecture search (NAS) has shown excellent performance. However, existing semantic segmentation models rely heavily on pre-training on Image-Net or…”
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85-GHz photonics W-band IM/DD PAM4 wireless transmission over 300 m based on nonlinear U-net symmetrical encoder-decoder equalizer Autor Zhang, Jie, Zhou, Wen, Bian, Chengzhen, Ge, Jingtao, Xu, Sicong, Ma, Yuan, Wang, Qihang, Wang, Siqi, Ou, Zhihang, Hu, Sheng

“…We propose a nonlinear U-Net equalizer based on a fully convolutional neural network for radio-over-fiber (ROF) communication systems. The U-Net encoder…”
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Unsupervised feature selection using orthogonal encoder-decoder factorization Autor Mozafari, Maryam, Seyedi, Seyed Amjad, Pir Mohammadiani, Rojiar, Akhlaghian Tab, Fardin

“…Unsupervised feature selection (UFS) is a fundamental task in machine learning and data analysis, aimed at identifying a subset of non-redundant and relevant…”
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A deep learning approach to impact localization and uncertainty assessment in CFRP composites using sparse PZTs: Integrating experiments and simulations Autor Yan, Huai, Xie, Weihua, Gao, Bo, Yang, Fan, Meng, Songhe

“…•A DL model with encoder-decoder architecture was developed for impact localization of CFRP.•The model can learn shared features between simulation and…”
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Multi-step prediction model enhanced by adaptive denoising and encoder-decoder for shield machine cutterhead torque in complex conditions Autor Xu, Deming, Wang, Yuan, Huang, Jingqi, Xu, Shujun, Zhou, Kun

“…•A multi-step prediction model for cutterhead torque is proposed.•Adaptive denoising and encoder-decoder are used to improve the model performance.•The model…”
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Grade prediction of zinc tailings using an encoder-decoder model in froth flotation Autor Zhang, Hu, Tang, Zhaohui, Xie, Yongfang, Luo, Jin, Chen, Qing, Gui, Weihua

“…•An encoder-decoder-based network predicts the zinc tailings grade in advance.•The feature time series of the first rougher is extracted automatically.•The…”
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Enhancing lane changing trajectory prediction on highways: A heuristic attention-based encoder-decoder model Autor Xiao, Xue, Bo, Peng, Chen, Yingda, Chen, Yili, Li, Keping

“…Accurate prediction of lane changing (LC) trajectories plays a vital role in ensuring safe and efficient traffic flow on highways. This paper proposes a LC…”
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An encoder-decoder model based on deep learning for state of health estimation of lithium-ion battery Autor Gong, Qingrui, Wang, Ping, Cheng, Ze

“…•The estimation model of SOH is established by deep learning method.•Extracting feature information by using CNN module and ULSAM module.•Encoding feature…”
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Pedestrian Trajectory Prediction in Extremely Crowded Scenarios Autor Shi, Xiaodan, Shao, Xiaowei, Guo, Zhiling, Wu, Guangming, Zhang, Haoran, Shibasaki, Ryosuke

“…Pedestrian trajectory prediction under crowded circumstances is a challenging problem owing to human interaction and the complexity of the trajectory pattern…”
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Transformer model with external token memories and attention for PersonaChat Autor Sun, Taize, Fujita, Katsuhide

“…Many existing studies aim to develop a dialog system capable of acting as efficiently and accurately as humans. The prevailing approach involves using large…”
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A knowledge-based deep learning method for ECG signal delineation Autor Wang, Jilong, Li, Renfa, Li, Rui, Fu, Bin

“…The delineation of electrocardiograms (ECG) is a crucial step designed to extract signal characteristics and assist cardiologists in diagnosing certain…”
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