Výsledky vyhledávání - LSTM encoder-decoder model

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…”
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Generating Potential RET-Specific Inhibitors Using a Novel LSTM Encoder–Decoder Model Autor 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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Condition assessment and predictive maintenance for contact probe using health index and encoder‐decoder LSTM model Autor Luk, Shun‐Sun, Jin, Yanwen, Zhang, Xiaoge, Ng, Vincent To‐Yee, Huang, Jingyuan, Wong, Chak‐Nam

“…Contact probe is broadly used for the continuous monitoring of microelectronic components in manufacturing industries. False rejection of fine product due to…”
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CGM-Based Blood Glucose Prediction Model With LSTM Encoder-Decoder Architecture Autor Xu, He, Zhang, Yi, Liu, Sixing, Ji, Yimu, Lv, Ming, Li, Peng

“… This study proposes a blood glucose prediction model based on an improved attention mechanism within a long short-term memory (LSTM) encoder-decoder (Att-E-D…”
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Generalization of an Encoder-Decoder LSTM model for flood prediction in ungauged catchments Autor Zhang, Yikui, Ragettli, Silvan, Molnar, Peter, Fink, Olga, Peleg, Nadav

“…•Flood prediction in ungauged catchments using an ED-LSTM model is presented.•The ED-LSTM is applied and tested as a local and regional model…”
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Power optimization of a single-core processor using LSTM based encoder–decoder model for online DVFS Autor Thethi, Sukhmani Kaur, Kumar, Ravi

“… that the application involved. This is done using Dynamic Voltage and Frequency Scaling (DVFS) technique. A novel DVFS technique is proposed in this paper which models frequency scaling as a recurrent network problem…”
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Pedestrian behavior prediction model with a convolutional LSTM encoder–decoder Autor Chen, Kai, Song, Xiao, Han, Daolin, Sun, Jinghan, Cui, Yong, Ren, Xiaoxiang

“… network with long short-term memory (LSTM) is a one-dimensional vector, which destroys the spatial information around a pedestrian…”
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Development and implementation of real-time anomaly detection on tool wear based on stacked LSTM encoder-decoder model Autor Oshida, Taisuke, Murakoshi, Tomohiro, Zhou, Libo, Ojima, Hirotaka, Kaneko, Kazuki, Onuki, Teppei, Shimizu, Jun

“… In this study, we proposed a stacked LSTM encoder-decoder model for tool wear anomaly detection…”
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Assessing the Impact of Rainfall Nowcasts on an Encoder-Decoder LSTM Model for Short-Term Flash Flood Prediction Autor Mhedhbi, Rim, Erechtchoukova, Marina G.

“… In this study, we propose an Encoder-Decoder LSTM-based model architecture for short-term flash flood prediction, which incorporates short-term rainfall forecasts and evaluates the influence…”
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Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer Autor Karbasi, Masoud, Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Yaseen, Zaher Mundher

“…•A novel deep learning-based machine learning model is proposed for weekly evapotranspiration forecasting…”
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Improving heat demand forecasting with feature reduction in an Encoder–Decoder LSTM model Autor Darbandi, Amin, Brockmann, Gerrid, Kriegel, Martin

“… This study proposes an Encoder–Decoder (ED) Long Short-Term Memory (LSTM) architecture emphasizing input feature reduction to enhance robustness and accuracy…”
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A Novel Dynamic Attack on Classical Ciphers Using an Attention-Based LSTM Encoder-Decoder Model Autor Ahmadzadeh, Ezat, Kim, Hyunil, Jeong, Ongee, Moon, Inkyu

“… Recently, long short-term memory (LSTM) networks have shown promising performance in sequential data processing by modeling the dependencies and data dynamics…”
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Applying an Encoder-Decoder LSTM Model for Short-Term Photovoltaic Power Forecasting in Subtropical Region Autor de Arruda, Fernando Vasconde, Pinho Almeida, Marcelo, Martins, Fernando Ramos

“…One of the pillars of technological development in modern society is electricity, with an ever growing demand f motivated by technological advances. Much of…”
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Regional ship collision risk prediction: An approach based on encoder-decoder LSTM neural network model Autor Lin, Chenyan, Zhen, Rong, Tong, Yanting, Yang, Shenhua, Chen, Shengkai

“… In order to solve the problem of ship collision risk prediction, this study proposes a regional ship collision risk prediction model based on the Encoder-decoder LSTM neural network…”
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A CNN encoder decoder LSTM model for sustainable wind power predictive analytics Autor Garg, Sherry, Krishnamurthi, Rajalakshmi

“… Long Short-Term Memory (LSTM) involves prediction using temporal relationships of data points collected over a period of time…”
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A CNN encoder decoder LSTM model for sustainable wind power predictive analytics Autor Garg, S, Krishnamurthi, R

“… Long short-term memory (LSTM) involves prediction using temporal relationships of data points collected over a period of time…”
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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

“… 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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A Comparison of Transformer and LSTM Encoder Decoder Models for ASR Autor Zeyer, Albert, Bahar, Parnia, Irie, Kazuki, Schluter, Ralf, Ney, Hermann

“…We present competitive results using a Transformer encoder-decoder-attention model for end-to-end speech recognition needing less training time compared to a similarly performing LSTM model…”
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Mutation prediction and phylogenetic analysis of SARS-CoV2 protein sequences using LSTM based encoder-decoder model Autor Sah, Sweeti, Surendiran, B., Dhanalakshmi, R., Mohanty, Sachi Nandan

“… Specifically, Long Short-Term Memory (LSTM) is utilized to predict protein sequences from aligned input sequences, with a bioinformatic…”
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Encoder-Decoder Based LSTM Model to Advance User QoE in 360-Degree Video Autor Usman Younus, Muhammad, Shafi, Rabia, Rafiq, Ammar, Rizwan Anjum, Muhammad, Afridi, Sharjeel, Aleem Jamali, Abdul, Ali Arain, Zulfiqar

“… Looking into the problem definition, we propose an Encoder-Decoder based Long-Short Term…”
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