Suchergebnisse - "Encoder-Decoder ConvLSTM"

An Optimized Model With Encoder-Decoder ConvLSTM for Global Ionospheric Forecasting von Wang, Cheng, Xue, Kaiyu, Shi, Chuang

“… The encoder-decoder ConvLSTM-B model achieves the best performance, lowering RMSE by 2.031%-8.547% compared to the ConvLSTM-A model …”
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Advancing spatiotemporal forecasts of CO2 plume migration using deep learning networks with transfer learning and interpretation analysis von Fan, Ming, Wang, Hongsheng, Zhang, Jing, Hosseini, Seyyed A., Lu, Dan

“… Accurate and timely forecasts of CO2 plume distribution throughout the injection and post-injection phases are crucial for detecting plume migration, assessing …”
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Forecasting Stock Market Using Machine Learning Approach Encoder-Decoder ConvLSTM von Iqbal, Khurum, Hassan, Ali, Hassan, Syed Shah Mir Ul, Iqbal, Shuaib, Aslam, Faheem, Mughal, Khurrum S

“… The goal of this study is to create a hybrid Deep Learning model (Encoder-Decoder ConvLSTM …”
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PDED-ConvLSTM: Pyramid Dilated Deeper Encoder–Decoder Convolutional LSTM for Arctic Sea Ice Concentration Prediction von Zhang, Deyu, Wang, Changying, Huang, Baoxiang, Ren, Jing, Zhao, Junli, Hou, Guojia

“… Arctic sea ice concentration plays a key role in the global ecosystem. However, accurate prediction of Arctic sea ice concentration remains a challenging task …”
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A multi-embedding neural model for incident video retrieval von Chiang, Ting-Hui, Tseng, Yi-Chun, Tseng, Yu-Chee

“… We propose an encoder-decoder ConvLSTM model that explores multiple embeddings of a video to facilitate comparison of similarity between a pair of videos …”
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An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions von Adeli, Ehsan, Sun, Luning, Wang, Jianxun, Taflanidis, Alexandros A.

“… In this research paper, we study the capability of artificial neural network models to emulate storm surge based on the storm track/size/intensity history, …”
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Multi-Scale Attention and Encoder-Decoder Network for Video Saliency Object Detection von Bi, Hongbo, Zhu, Huihui, Yang, Lina, Wu, Ranwan

“… — In recent years, video saliency object detection has received more and more attention, and many excellent algorithms have been proposed. In the paper, we …”
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Multivariate Multi-Step Agrometeorological Forecast Model for Rapid Spray von Shi, Guobin, Wang, Chun

“… In this paper, a Convolutional-LSTM encoder-decoder (ConvLSTM-AE) hybrid model for multivariate output and multi-step prediction with short time intervals is proposed to predict these three agrometeorological variables in advance …”
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An Unsupervised Framework for Anomaly Detection in a Water Treatment System von Macas, Mayra, Wu, Chunming

“… Current Cyber-Physical Systems (CPSs) are sophisticated, complex, and equipped with networked sensors and actuators. As such, they have become further exposed …”
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Deep Learning and Kinect Skeleton-based Approach for Fall Prediction of Elderly Physically Disabled von Nouisser, Raoudha, Kammoun Jarraya, Salma, Hammami, Mohamed

“… Within our approach, we propose a novel implementation of Encoder-Decoder ConvLSTM (Convolutional Long Short-Term Memory …”
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Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM von Muthukumar, Pratyush, Pathak, Shaurya, Nagrecha, Kabir, Hosseini, Hirad, Comer, Dawn, Amini, Navid, Holm, Jeanne, Pourhomayoun, Mohammad

“… We propose a novel sequential encoder-decoder ConvLSTM architecture capable of predicting hourly CO, NO, NO_{2}, O_{3} , and PM …”
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A Multi-Embedding Architecture for Incident Video Retrieval von Tseng, Yi-Chun

“… We propose an encoder-decoder ConvLSTM model that explores multiple embeddings of a video to facilitate comparing the similarity between a pair of videos …”
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An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions von Adeli, Ehsan, Sun, Luning, Wang, Jianxun, Taflanidis, Alexandros A

“… In this research paper, we study the capability of artificial neural network models to emulate storm surge based on the storm track/size/intensity history, …”
Volltext