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Climate and environmental data contribute to the prediction of grain commodity prices using deep learning

Journal of sustainable agriculture and environment, 2023-09, Vol.2 (3), p.251-265

2023

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Heterogeneous computing model for post‐injury walking pattern restoration and postural stability rehabilitation exercise recognition

Expert systems, 2022-07, Vol.39 (6), p.n/a

2022

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Forecasting carbon price in China unified carbon market using a novel hybrid method with three-stage algorithm and long short-term memory neural networks

Energy (Oxford), 2024-02, Vol.288, p.129761, Article 129761

2024

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Comparative study of machine learning methods for COVID-19 transmission forecasting

Journal of biomedical informatics, 2021-06, Vol.118, p.103791-103791, Article 103791

2021

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Urban population density estimation based on spatio‐temporal trajectories

Concurrency and computation, 2020-07, Vol.32 (14), p.n/a

2020

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News-driven stock market index prediction based on trellis network and sentiment attention mechanism

Expert systems with applications, 2024-09, Vol.250, p.123966, Article 123966

2024

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Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence

Advanced engineering informatics, 2021-01, Vol.47, p.101238, Article 101238

2021

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Deep learning-based method for sentiment analysis for patients' drug reviews

PeerJ. Computer science, 2024-04, Vol.10, p.e1976-e1976, Article e1976

2024

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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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CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.901

2023

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A Novel Gait Pattern Recognition Method Based on LSTM-CNN for Lower Limb Exoskeleton

Journal of bionics engineering, 2021-09, Vol.18 (5), p.1059-1072

2021

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HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation

Neural processing letters, 2023-02, Vol.55 (1), p.279-298

2023

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Justifying the selection of a neural network linguistic classifier

Sučasnij stan naukovih doslìdženʹ ta tehnologìj v promislovostì (Online), 2023-11 (3(25)), p.5-14

2023

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Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price

Energy economics, 2024-04, Vol.132, p.107459, Article 107459

2024

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Justifying the selection of a neural network linguistic classifier

Sučasnij stan naukovih doslìdženʹ ta tehnologìj v promislovostì (Online), 2023-09 (3 (25))

2023

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AN LSTM BASED CNN MODEL FOR POMEGRANATE FRUIT CLASSIFICATION WITH WEIGHT OPTIMIZATION USING DRAGONFLY TECHNIQUE

Indian journal of computer science and engineering, 2021-04, Vol.12 (2), p.371-384

2021

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A Novel Gait Phase Recognition Method Based on DPF-LSTM-CNN Using Wearable Inertial Sensors

Sensors (Basel, Switzerland), 2023-06, Vol.23 (13), p.5905

2023

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Parallel LSTM-CNN Network With Radar Multispectrogram for Human Activity Recognition

IEEE sensors journal, 2023-01, Vol.23 (2), p.1308-1317

2023

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A Combined Model of Convolutional Neural Network and Bidirectional Long Short-Term Memory with Attention Mechanism for Load Harmonics Forecasting

Energies (Basel), 2024-06, Vol.17 (11), p.2658

2024

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Remaining Useful Life Prediction of High-Speed Railroad Contact Network Based on Stacking Integrated Attention-LSTM-CNN Deep Learning

Arabian journal for science and engineering (2011), 2024-03

2024

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NeuroWave-Net: Enhancing epileptic seizure detection from EEG brain signals via advanced convolutional and long short-term memory networks

AIMS bioengineering, 2024-01, Vol.11 (1), p.85-109

2024

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Enhancing EEG signals classification using LSTM‐CNN architecture

Engineering reports (Hoboken, N.J.), 2023-12

2023

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Long short-term memory and convolutional neural network for abnormal driving behaviour recognition

IET intelligent transport systems, 2020-05, Vol.14 (5), p.306-312

2020

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Coupling LSTM and CNN Neural Networks for Accurate Carbon Emission Prediction in 30 Chinese Provinces

Sustainability, 2023-09, Vol.15 (18), p.13934

2023

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Hybrid Lightweight Deep Learning-Based Error Detection Model on Edge Computing Devices

2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), 2023, p.1-4

2023

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IEEE_Xplore

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Climate and environmental data contribute to the prediction of grain commodity prices using deep learning

Heterogeneous computing model for post‐injury walking pattern restoration and postural stability rehabilitation exercise recognition

Forecasting carbon price in China unified carbon market using a novel hybrid method with three-stage algorithm and long short-term memory neural networks

Comparative study of machine learning methods for COVID-19 transmission forecasting

Urban population density estimation based on spatio‐temporal trajectories

News-driven stock market index prediction based on trellis network and sentiment attention mechanism

Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence

Deep learning-based method for sentiment analysis for patients' drug reviews

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

CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany

A Novel Gait Pattern Recognition Method Based on LSTM-CNN for Lower Limb Exoskeleton

HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation

Justifying the selection of a neural network linguistic classifier

Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price

Justifying the selection of a neural network linguistic classifier

AN LSTM BASED CNN MODEL FOR POMEGRANATE FRUIT CLASSIFICATION WITH WEIGHT OPTIMIZATION USING DRAGONFLY TECHNIQUE

A Novel Gait Phase Recognition Method Based on DPF-LSTM-CNN Using Wearable Inertial Sensors

Parallel LSTM-CNN Network With Radar Multispectrogram for Human Activity Recognition

A Combined Model of Convolutional Neural Network and Bidirectional Long Short-Term Memory with Attention Mechanism for Load Harmonics Forecasting

Remaining Useful Life Prediction of High-Speed Railroad Contact Network Based on Stacking Integrated Attention-LSTM-CNN Deep Learning

NeuroWave-Net: Enhancing epileptic seizure detection from EEG brain signals via advanced convolutional and long short-term memory networks

Enhancing EEG signals classification using LSTM‐CNN architecture

Long short-term memory and convolutional neural network for abnormal driving behaviour recognition

Coupling LSTM and CNN Neural Networks for Accurate Carbon Emission Prediction in 30 Chinese Provinces

Hybrid Lightweight Deep Learning-Based Error Detection Model on Edge Computing Devices

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