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Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure

IEEE transaction on neural networks and learning systems, 2020-04, Vol.31 (4), p.1297-1309

2020

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Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

IEEE transactions on geoscience and remote sensing, 2020-04, Vol.58 (4), p.2848-2864

2020

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Spatial-Temporal Recurrent Neural Network for Emotion Recognition

IEEE transactions on cybernetics, 2019-03, Vol.49 (3), p.839-847

2019

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Pixel-Level Remote Sensing Image Recognition Based on Bidirectional Word Vectors

IEEE transactions on geoscience and remote sensing, 2020-02, Vol.58 (2), p.1281-1293

2020

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A novel framework for wind speed prediction based on recurrent neural networks and support vector machine

Energy conversion and management, 2018-12, Vol.178, p.137-145

2018

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Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks

Sensors (Basel, Switzerland), 2021-07, Vol.21 (15), p.4953

2021

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Fuzzy Multiple Hidden Layer Recurrent Neural Control of Nonlinear System Using Terminal Sliding-Mode Controller

IEEE transactions on cybernetics, 2022-09, Vol.52 (9), p.9519-9534

2022

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Heart Sound Segmentation-An Event Detection Approach Using Deep Recurrent Neural Networks

IEEE transactions on biomedical engineering, 2018-09, Vol.65 (9), p.1964-1974

2018

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Recurrent inception convolution neural network for multi short-term load forecasting

Energy and buildings, 2019-07, Vol.194, p.328-341

2019

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Predicting concentration levels of air pollutants by transfer learning and recurrent neural network

Knowledge-based systems, 2020-03, Vol.192, p.105622, Article 105622

2020

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Identifying Protein Subcellular Locations With Embeddings-Based node2loc

IEEE/ACM transactions on computational biology and bioinformatics, 2022-03, Vol.19 (2), p.666-675

2022

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Novel Neural Network Fractional-Order Sliding-Mode Control With Application to Active Power Filter

IEEE transactions on systems, man, and cybernetics. Systems, 2022-06, Vol.52 (6), p.3508-3518

2022

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Macromodeling of Nonlinear High-Speed Circuits Using Novel Hybrid Bidirectional High-Order Deep Recurrent Neural Network

IEEE transactions on circuits and systems. I, Regular papers, 2024-08, Vol.71 (8), p.3740-3753

2024

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Global and Local Knowledge-Aware Attention Network for Action Recognition

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.334-347

2021

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A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation

IEEE transactions on industrial informatics, 2021-10, Vol.17 (10), p.7050-7059

2021

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The social media sentiment analysis framework: deep learning for sentiment analysis on social media

International journal of electrical and computer engineering (Malacca, Malacca), 2024-06, Vol.14 (3), p.3394

2024

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Finite-Time Projective Synchronization of Hyperjerk Systems Modeled With Fuzzy Recurrent Neural Networks

IEEE transactions on fuzzy systems, 2024-08, Vol.32 (8), p.4482-4495

2024

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Tuned weighted feature fusion with hybridized DNN-RNN framework for plant disease detection and classification

International journal of remote sensing, 2024-03, Vol.45 (5), p.1608-1639

2024

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Spatio-Temporal-Spectral Collaborative Learning for Spatio-Temporal Fusion with Land Cover Changes

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-1

2022

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ESLO: Enhanced sea lion optimization based bi‐directional CNN‐RNN for accurate detection of diabetic retinopathy

Concurrency and computation, 2023-01, Vol.35 (1), p.n/a

2023

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Early straggler tasks detection by recurrent neural network in a heterogeneous environment

Applied intelligence (Dordrecht, Netherlands), 2023-04, Vol.53 (7), p.7369-7389

2023

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Battery Health Prognosis Based on Sliding Window Sampling of Charging Curves and Independently Recurrent Neural Network

IEEE transactions on instrumentation and measurement, 2024-01, Vol.73, p.1-1

2024

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A Deep Domain Adaptative Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions and Fault Modes

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-14

2021

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Physics-Based Self-Learning Recurrent Neural Network enhanced time integration scheme for computing viscoplastic structural finite element response

Computer methods in applied mechanics and engineering, 2022-11, Vol.401, p.115668, Article 115668

2022

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DynaLAP: Human Activity Recognition in Fixed Protocols via Semi-Supervised Variational Recurrent Neural Networks With Dynamic Priors

IEEE sensors journal, 2022-09, Vol.22 (18), p.17963-17976

2022

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Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure

Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

Spatial-Temporal Recurrent Neural Network for Emotion Recognition

Pixel-Level Remote Sensing Image Recognition Based on Bidirectional Word Vectors

A novel framework for wind speed prediction based on recurrent neural networks and support vector machine

Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks

Fuzzy Multiple Hidden Layer Recurrent Neural Control of Nonlinear System Using Terminal Sliding-Mode Controller

Heart Sound Segmentation-An Event Detection Approach Using Deep Recurrent Neural Networks

Recurrent inception convolution neural network for multi short-term load forecasting

Predicting concentration levels of air pollutants by transfer learning and recurrent neural network

Identifying Protein Subcellular Locations With Embeddings-Based node2loc

Novel Neural Network Fractional-Order Sliding-Mode Control With Application to Active Power Filter

Macromodeling of Nonlinear High-Speed Circuits Using Novel Hybrid Bidirectional High-Order Deep Recurrent Neural Network

Global and Local Knowledge-Aware Attention Network for Action Recognition

A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation

The social media sentiment analysis framework: deep learning for sentiment analysis on social media

Finite-Time Projective Synchronization of Hyperjerk Systems Modeled With Fuzzy Recurrent Neural Networks

Tuned weighted feature fusion with hybridized DNN-RNN framework for plant disease detection and classification

Spatio-Temporal-Spectral Collaborative Learning for Spatio-Temporal Fusion with Land Cover Changes

ESLO: Enhanced sea lion optimization based bi‐directional CNN‐RNN for accurate detection of diabetic retinopathy

Early straggler tasks detection by recurrent neural network in a heterogeneous environment

Battery Health Prognosis Based on Sliding Window Sampling of Charging Curves and Independently Recurrent Neural Network

A Deep Domain Adaptative Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions and Fault Modes

Physics-Based Self-Learning Recurrent Neural Network enhanced time integration scheme for computing viscoplastic structural finite element response

DynaLAP: Human Activity Recognition in Fixed Protocols via Semi-Supervised Variational Recurrent Neural Networks With Dynamic Priors

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