Search Results - LSTM 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…”
Get full text

Generating Potential RET-Specific Inhibitors Using a Novel LSTM Encoder–Decoder Model by Liu, Lu, Zhao, Xi, Huang, Xuri

“…) and a long short-term memory (LSTM) encoder–decoder structure to generate receptor-specific molecules with novel scaffolds…”
Get full text

Condition assessment and predictive maintenance for contact probe using health index and encoder‐decoder LSTM model by 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…”
Get full text

CGM-Based Blood Glucose Prediction Model With LSTM Encoder-Decoder Architecture by 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…”
Get full text

Generalization of an Encoder-Decoder LSTM model for flood prediction in ungauged catchments by 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…”
Get full text

Power optimization of a single-core processor using LSTM based encoder–decoder model for online DVFS by 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…”
Get full text

Pedestrian behavior prediction model with a convolutional LSTM encoder–decoder by 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…”
Get full text

Development and implementation of real-time anomaly detection on tool wear based on stacked LSTM encoder-decoder model by 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…”
Get full text

Assessing the Impact of Rainfall Nowcasts on an Encoder-Decoder LSTM Model for Short-Term Flash Flood Prediction by 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…”
Get full text

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer by 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…”
Get full text

A Novel Dynamic Attack on Classical Ciphers Using an Attention-Based LSTM Encoder-Decoder Model by 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…”
Get full text

Applying an Encoder-Decoder LSTM Model for Short-Term Photovoltaic Power Forecasting in Subtropical Region by 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…”
Get full text

Regional ship collision risk prediction: An approach based on encoder-decoder LSTM neural network model by 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…”
Get full text

A CNN encoder decoder LSTM model for sustainable wind power predictive analytics by Garg, Sherry, Krishnamurthi, Rajalakshmi

“… Long Short-Term Memory (LSTM) involves prediction using temporal relationships of data points collected over a period of time…”
Get full text

A CNN encoder decoder LSTM model for sustainable wind power predictive analytics by Garg, S, Krishnamurthi, R

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

A Comparison of Transformer and LSTM Encoder Decoder Models for ASR by 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…”
Get full text

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…”
Get full text

Mutation prediction and phylogenetic analysis of SARS-CoV2 protein sequences using LSTM based encoder-decoder model by 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…”
Get full text

Encoder-Decoder Based LSTM Model to Advance User QoE in 360-Degree Video by 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…”
Get full text

Wind turbine frequent principal fault detection based on a self-attentive LSTM encoder-decoder model by JIANG, Na, LI, Ning

“… Additionally, to retain more necessary information hidden in the wind power time series, which is too long to make the performance of the LSTM model poor, we propose a novel self-attentive LSTM encoder-decoder(SALSTMED…”
Get full text