Suchergebnisse - Encoder–Decoder model~

A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction von 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 …”
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An asymmetric encoder–decoder model for Zn-ion battery lifetime prediction von Lu, Siyu, Yin, Zhengtong, Liao, Shengjun, Yang, Bo, Liu, Shan, Liu, Mingzhe, Yin, Lirong, Zheng, Wenfeng

“… As a means of improving the machine learning model’s accuracy and generalization …”
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Hourly solar irradiance forecasting based on encoder–decoder model using series decomposition and dynamic error compensation von Tong, Junlong, Xie, Liping, Fang, Shixiong, Yang, Wankou, Zhang, Kanjian

“… In this paper, a deep hybrid model based on encoder–decoder is proposed to cope with the complex pattern for hourly irradiance forecasting …”
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CHERRY: a Computational metHod for accuratE pRediction of virus–pRokarYotic interactions using a graph encoder–decoder model von 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 von Konishi, Hiroki, Yamaguchi, Rui, Yamaguchi, Kiyoshi, Furukawa, Yoichi, Imoto, Seiya

“… Our model employs monotonic-attention mechanisms to learn semantic correspondences between nucleotides and signal levels without any pre-segmentation against input signals …”
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Enhanced brain tumour segmentation using a hybrid dual encoder–decoder model in federated learning von Narmadha, K., Varalakshmi, P.

“… To address these drawbacks, we propose a Hybrid Dual Encoder–Decoder Segmentation Model in Federated Learning, that integrates EfficientNet with Swin Transformer as encoders and BASNet …”
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Unsupervised anomaly detection in hourly water demand data using an asymmetric encoder–decoder model von Yan, Jieru, Tao, Tao

“… To fill the gap, we propose an unsupervised anomaly detection method based on an asymmetric encoder–decoder (asyED) model …”
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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 von 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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Filling gaps of cartographic polylines by using an encoder-decoder model von Yu, Wenhao, Chen, Yujie

“… In this paper, we propose an effective framework for vector-structured polyline completion using a generative model …”
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Generating Potential RET-Specific Inhibitors Using a Novel LSTM Encoder–Decoder Model von Liu, Lu, Zhao, Xi, Huang, Xuri

“… ) and a long short-term memory (LSTM) encoder–decoder structure to generate receptor-specific molecules with novel scaffolds …”
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Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events von 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 …”
Weitere Angaben

TrEnD: A transformer‐based encoder‐decoder model with adaptive patch embedding for mass segmentation in mammograms von 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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QMEDNet: A quaternion-based multi-order differential encoder–decoder model for 3D human motion prediction von Cao, Wenming, Li, Shuangshuang, Zhong, Jianqi

“… recurrent neural network in Euclidean space. However human motion representation in Euclidean space has high distortion and shows a weak semantic expression when using deep learning models …”
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Day-ahead forecasting of residential electric power consumption for energy management using Long Short-Term Memory encoder–decoder model von La Tona, G., Luna, M., Di Piazza, M.C.

“… from statistical compensation of errors. This paper presents a day-ahead forecasting technique for individual residential load demand that is based on the Long Short-Term Memory encoder …”
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A multitask encoder–decoder model for quality prediction in injection moulding von Muaz, Muhammad, Yu, Hanxin, Sung, Wai Lam, Liu, Chang, Drescher, Benny

“… , weight, dimensions, and warpage. To build a more comprehensive/generalized quality prediction model with online learning, this study for the first time takes time series process parameters from 2 pairs of in-mould pressure …”
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Plant Disease Identification Based on Encoder–Decoder Model von Feng, Wenfeng, Sun, Guoying, Zhang, Xin

“… We designed a model with an encoder–decoder architecture to efficiently classify plant diseases using a transfer learning approach, which effectively recognizes a large number of plant diseases in multiple crops …”
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An efficient encoder–decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data von Khan, Faisal, Hussain, Shahid, Basak, Shubhajit, Lemley, Joseph, Corcoran, Peter

“… Furthermore, an improved encoder–decoder based neural network is presented. This network …”
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Character-level arabic text generation from sign language video using encoder–decoder model von Boukdir, Abdelbasset, Benaddy, Mohamed, Meslouhi, Othmane El, Kardouchi, Mustapha, Akhloufi, Moulay

“… The video sequence was encoded by a spatiotemporal feature extraction using pose estimation models, while the label text of the video is transmitted to a sequence of representative vectors …”
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Code generation from a graphical user interface via attention-based encoder–decoder model von Chen, Wen-Yin, Podstreleny, Pavol, Cheng, Wen-Huang, Chen, Yung-Yao, Hua, Kai-Lung

“… –decoder framework represents one of the possible ways to tackle code generation tasks. Our model implements the encoder …”
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Triple confidence-aware encoder–decoder model for commonsense knowledge graph completion von Chen, Hongzhi, Zhang, Fu, Li, Qinghui, Li, Xiang, Ding, Yifan, Zhang, Daqing, Cheng, Jingwei, Wang, Xing

“… However, we found that the existing models only pay attention to entities …”
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