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Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

BS-LSTM: An Ensemble Recurrent Approach to Forecasting Soil Movements in the Real World

Frontiers in earth science (Lausanne), 2021-08, Vol.9

2021

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Prediction of Real-World Slope Movements via Recurrent and Non-recurrent Neural Network Algorithms: A Case Study of the Tangni Landslide

Indian Geotechnical Journal, 2021-08, Vol.51 (4), p.788-810

2021

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Deep Learning-Based Models for Predicting Poorly Damped Low-Frequency Modes of Oscillations

IEEE transactions on power systems, 2024-03, Vol.39 (2), p.3257-3270

2024

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Financial time series forecasting model based on CEEMDAN and LSTM

Physica A, 2019-04, Vol.519, p.127-139

2019

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Host-Parasite: Graph LSTM-in-LSTM for Group Activity Recognition

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.663-674

2021

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A hybrid deep learning method for an hour ahead power output forecasting of three different photovoltaic systems

Applied energy, 2022-02, Vol.307, p.118185, Article 118185

2022

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EEG-based emotion classification based on Bidirectional Long Short-Term Memory Network

Procedia computer science, 2020, Vol.174, p.491-504

2020

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Air quality index forecast in Beijing based on CNN-LSTM multi-model

Chemosphere (Oxford), 2022-12, Vol.308, p.136180-136180, Article 136180

2022

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Facial expression recognition using bidirectional LSTM - CNN

Procedia computer science, 2023, Vol.216, p.39-47

2023

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Unlocking the potential of RNN and CNN models for accurate rehabilitation exercise classification on multi-datasets

Multimedia tools and applications, 2024-04

2024

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Time-series learning of latent-space dynamics for reduced-order model closure

Physica. D, 2020-04, Vol.405 (C), p.132368, Article 132368

2020

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Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults

International journal of electrical power & energy systems, 2022-02, Vol.135, p.107563, Article 107563

2022

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Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model

Sensors (Basel, Switzerland), 2020-09, Vol.20 (19), p.5606

2020

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Examination of the Bi-LSTM Based 5G-OFDM Wireless Network Over Rayleigh Fading Channel Conditions

Journal of mobile multimedia, 2023-05

2023

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Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

IEEE transactions on industrial electronics (1982), 2021-05, Vol.68 (5), p.4404-4414

2021

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A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

IEEE transactions on intelligent transportation systems, 2021-11, Vol.22 (11), p.6910-6920

2021

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Assamese Fake News Detection: A Comprehensive Exploration of LSTM and Bi-LSTM Techniques

Procedia computer science, 2024, Vol.235, p.2167-2177

2024

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Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant

Desalination, 2021-09, Vol.512, p.115107, Article 115107

2021

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Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

IEEE transactions on industrial informatics, 2020-05, Vol.16 (5), p.3168-3176

2020

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Photovoltaic power forecasting based LSTM-Convolutional Network

Energy (Oxford), 2019-12, Vol.189, p.116225, Article 116225

2019

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Multi-dimensional prediction method based on Bi-LSTMC for ship roll

Ocean engineering, 2021-12, Vol.242, p.110106, Article 110106

2021

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LSTM variants meet graph neural networks for road speed prediction

Neurocomputing (Amsterdam), 2020-08, Vol.400, p.34-45

2020

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Deep learning for predicting respiratory rate from physiological signals

Procedia computer science, 2024, Vol.237, p.759-766

2024

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Human action recognition using convolutional LSTM and fully-connected LSTM with different attentions

Neurocomputing (Amsterdam), 2020-10, Vol.410, p.304-316

2020

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A supervised deep learning-based sentiment analysis by the implementation of Word2Vec and GloVe Embedding techniques

Multimedia tools and applications, 2024-04

2024

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BS-LSTM: An Ensemble Recurrent Approach to Forecasting Soil Movements in the Real World

Prediction of Real-World Slope Movements via Recurrent and Non-recurrent Neural Network Algorithms: A Case Study of the Tangni Landslide

Deep Learning-Based Models for Predicting Poorly Damped Low-Frequency Modes of Oscillations

Financial time series forecasting model based on CEEMDAN and LSTM

Host-Parasite: Graph LSTM-in-LSTM for Group Activity Recognition

A hybrid deep learning method for an hour ahead power output forecasting of three different photovoltaic systems

EEG-based emotion classification based on Bidirectional Long Short-Term Memory Network

Air quality index forecast in Beijing based on CNN-LSTM multi-model

Facial expression recognition using bidirectional LSTM - CNN

Unlocking the potential of RNN and CNN models for accurate rehabilitation exercise classification on multi-datasets

Time-series learning of latent-space dynamics for reduced-order model closure

Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults

Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model

Examination of the Bi-LSTM Based 5G-OFDM Wireless Network Over Rayleigh Fading Channel Conditions

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

Assamese Fake News Detection: A Comprehensive Exploration of LSTM and Bi-LSTM Techniques

Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

Photovoltaic power forecasting based LSTM-Convolutional Network

Multi-dimensional prediction method based on Bi-LSTMC for ship roll

LSTM variants meet graph neural networks for road speed prediction

Deep learning for predicting respiratory rate from physiological signals

Human action recognition using convolutional LSTM and fully-connected LSTM with different attentions

A supervised deep learning-based sentiment analysis by the implementation of Word2Vec and GloVe Embedding techniques

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