Search Results - "Encoder-Decoder model"

A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction by 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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An asymmetric encoder–decoder model for Zn-ion battery lifetime prediction by 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 novel Encoder-Decoder model based on read-first LSTM for air pollutant prediction by Zhang, Bo, Zou, Guojian, Qin, Dongming, Lu, Yunjie, Jin, Yupeng, Wang, Hui

“… A prevalent recent approach to time series prediction is the Encoder-Decoder model, which is based on recurrent neural networks (RNN…”
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CHERRY: a Computational metHod for accuratE pRediction of virus–pRokarYotic interactions using a graph encoder–decoder model by Shang, Jiayu, Sun, Yanni

“…Abstract Prokaryotic viruses, which infect bacteria and archaea, are key players in microbial communities. Predicting the hosts of prokaryotic viruses helps…”
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Halcyon: an accurate basecaller exploiting an encoder–decoder model with monotonic attention by Konishi, Hiroki, Yamaguchi, Rui, Yamaguchi, Kiyoshi, Furukawa, Yoichi, Imoto, Seiya

“…Abstract Motivation In recent years, nanopore sequencing technology has enabled inexpensive long-read sequencing, which promises reads longer than a few…”
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Hourly solar irradiance forecasting based on encoder–decoder model using series decomposition and dynamic error compensation by Tong, Junlong, Xie, Liping, Fang, Shixiong, Yang, Wankou, Zhang, Kanjian

“…Accurate solar irradiance prediction is crucial for harnessing solar energy resources. However, the pattern of irradiance sequence is intricate due to its…”
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Traffic flow prediction based on spatiotemporal encoder-decoder model by Ding, Yuanming, Zhao, Wei, Song, Lin, Jiang, Chen, Tao, Yunrui

“… Spatiotemporal Graph Convolutional Network Encoder-Decoder Model (ESGCN-EDM), is proposed. The model achieves a significant enhancement in prediction accuracy…”
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Enhanced brain tumour segmentation using a hybrid dual encoder–decoder model in federated learning by Narmadha, K., Varalakshmi, P.

“…Brain tumour segmentation is an important task in medical imaging, that requires accurate tumour localization for improved diagnostics and treatment planning…”
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Unsupervised anomaly detection in hourly water demand data using an asymmetric encoder–decoder model by Yan, Jieru, Tao, Tao

“…Water demand forecasting (WDF) is essential for the design and optimal management of water distribution systems (WDS). Historical water demand data contribute…”
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Filling gaps of cartographic polylines by using an encoder-decoder model by 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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Improving soil moisture prediction using a novel encoder-decoder model with residual learning by Li, Qingliang, Li, Zhongyan, Shangguan, Wei, Wang, Xuezhi, Li, Lu, Yu, Fanhua

“…•Skillful prediction of soil moisture (SM) is useful but great challenges exist.•A novel encoder-decoder LSTM model with residual learning (EDR-LSTM) is…”
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Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events by Pan, Deng, Quan, Lijun, Jin, Zhi, Chen, Taoning, Wang, Xuejiao, Xie, Jingxin, Wu, Tingfang, Lyu, Qiang

“… To fill this gap, we propose two attention-mechanism-based encoder-decoder models that incorporate multisource information…”
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TrEnD: A transformer‐based encoder‐decoder model with adaptive patch embedding for mass segmentation in mammograms by Liu, Dongdong, Wu, Bo, Li, Changbo, Sun, Zheng, Zhang, Nan

“… Methods We propose an effective transformer‐based encoder‐decoder model (TrEnD). Firstly…”
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Generating Potential RET-Specific Inhibitors Using a Novel LSTM Encoder–Decoder Model by Liu, Lu, Zhao, Xi, Huang, Xuri

“…The receptor tyrosine kinase RET (rearranged during transfection) plays a vital role in various cell signaling pathways and is a critical factor in the…”
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QMEDNet: A quaternion-based multi-order differential encoder–decoder model for 3D human motion prediction by Cao, Wenming, Li, Shuangshuang, Zhong, Jianqi

“…In order to deal with the sequence information in the task of 3D human motion prediction effectively, many previous methods seek to predict the motion state of…”
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A novel encoder-decoder model based on Autoformer for air quality index prediction by Feng, Huifang, Zhang, Xianghong

“… In this paper, we proposed a novel encoder-decoder model named as Enhanced Autoformer (EnAutoformer) to improve the air quality index…”
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Day-ahead forecasting of residential electric power consumption for energy management using Long Short-Term Memory encoder–decoder model by La Tona, G., Luna, M., Di Piazza, M.C.

“…Energy management in smart buildings and energy communities needs short-term load demand forecasting for optimization-based scheduling, dispatch, and real-time…”
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Characteristics and Prediction of Reservoir Water Quality under the Rainfall-Runoff Impact by Long Short-Term Memory Based Encoder-Decoder Model: Characteristics and Prediction of Reservoir Water Quality under the rainfall-runoff Impact by Long Short-Term Memory Based Encoder-Decoder Model by Sheng, Xiaodan, Tang, Yulan, Yue, Shupeng, Yang, Xu, He, Yating

“… Furthermore, an encoder-decoder model based on Long Short-Term Memory (LSTM-ED) was constructed to predict the water quality indicators, and the response of these indicators to different levels of rainfall-runoff was subsequently explored…”
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A multitask encoder–decoder model for quality prediction in injection moulding by Muaz, Muhammad, Yu, Hanxin, Sung, Wai Lam, Liu, Chang, Drescher, Benny

“…It is desirable in injection moulding that every yielded product is of high quality and precision. Several studies are conducted on modelling the relationship…”
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Plant Disease Identification Based on Encoder–Decoder Model by Feng, Wenfeng, Sun, Guoying, Zhang, Xin

“…Plant disease identification is a crucial issue in agriculture, and with the advancement of deep learning techniques, early and accurate identification of…”
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