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Joint Distance Maps Based Action Recognition With Convolutional Neural Networks

IEEE signal processing letters, 2017-05, Vol.24 (5), p.624-628

2017

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Independently convolutional gated recurrent neural unit for space-based ADS-B signal separation with single antenna

EURASIP journal on advances in signal processing, 2023-12, Vol.2023 (1), p.127-12, Article 127

2023

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LHPP exerts a tumor-inhibiting role in glioblastoma via the downregulation of Akt and Wnt/β-catenin signaling

Journal of bioenergetics and biomembranes, 2021-02, Vol.53 (1), p.61-71

2021

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A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition

Sensors (Basel, Switzerland), 2020-12, Vol.20 (23), p.6984

2020

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ConvNets-based action recognition from skeleton motion maps

Multimedia tools and applications, 2020, Vol.79 (3-4), p.1707-1725

2020

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Identification of abnormal conditions in high-dimensional chemical process based on feature selection and deep learning

Chinese journal of chemical engineering, 2020-07, Vol.28 (7), p.1875-1883

2020

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Multi-Scale Convolutional Network for Space-Based ADS-B Signal Separation with Single Antenna

Applied sciences, 2022-09, Vol.12 (17), p.8816

2022

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Single Image De-Raining via Improved Generative Adversarial Nets

Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1591

2020

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Retraction notice to “MicroRNA-613 impedes the proliferation and invasion of glioma cells by targeting cyclin-dependent kinase 14” [Biomed. Pharmacother. 98 (2018) 636–642]

Biomedicine & pharmacotherapy, 2024-04, Vol.173, p.116383-116383, Article 116383

2024

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Fault diagnosis for distillation process based on CNN–DAE

Chinese journal of chemical engineering, 2019-03, Vol.27 (3), p.598-604

2019

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A fault diagnosis method for complex chemical process based on multi-model fusion

Chemical engineering research & design, 2022-08, Vol.184, p.662-677

2022

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A Deep Attention Model for Environmental Sound Classification from Multi-Feature Data

Applied sciences, 2022-06, Vol.12 (12), p.5988

2022

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Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images

Remote sensing (Basel, Switzerland), 2024-08, Vol.16 (16), p.2978

2024

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Domain-Specific Entity Recognition as token-pair relation classification

IEEE access, 2023-01, Vol.11, p.1-1

2023

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A Fast Identification Method of Gunshot Types Based on Knowledge Distillation

Applied sciences, 2022-06, Vol.12 (11), p.5526

2022

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CDC7-dependent transcriptional regulation of RAD54L is essential for tumorigenicity and radio-resistance of glioblastoma

Translational oncology, 2018-04, Vol.11 (2), p.300-306

2018

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A Deep Attention Model for Action Recognition from Skeleton Data

Applied sciences, 2022-02, Vol.12 (4), p.2006

2022

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Variable Rate Independently Recurrent Neural Network (IndRNN) for Action Recognition

Applied sciences, 2022-04, Vol.12 (7), p.3281

2022

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Dynamic alarm prediction for critical alarms using a probabilistic model

Chinese journal of chemical engineering, 2016-07, Vol.24 (7), p.881-885

2016

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A Combination of Dynamic Simulation and Dynamic Time Warping for Fault Diagnosis of Chemical Process Startups

Chemical engineering transactions, 2020-08, Vol.81

2020

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Action recognition based on joint trajectory maps with convolutional neural networks

Knowledge-based systems, 2018-10, Vol.158, p.43-53

2018

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Skeleton-based action recognition using LSTM and CNN

2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2017, p.585-590

2017

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Optimized principal component analysis and multi-state Bayesian network integrated method for chemical process monitoring and variable state prediction

Chemical engineering journal (Lausanne, Switzerland : 1996), 2022-02, Vol.430, p.132617, Article 132617

2022

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An intelligent quantitative risk assessment method for ammonia synthesis process

Chemical engineering journal (Lausanne, Switzerland : 1996), 2021-09, Vol.420, p.129893, Article 129893

2021

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DFN: A deep fusion network for flexible single and multi-modal action recognition

Expert systems with applications, 2024-07, Vol.245, p.123145, Article 123145

2024

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Joint Distance Maps Based Action Recognition With Convolutional Neural Networks

Independently convolutional gated recurrent neural unit for space-based ADS-B signal separation with single antenna

LHPP exerts a tumor-inhibiting role in glioblastoma via the downregulation of Akt and Wnt/β-catenin signaling

A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition

ConvNets-based action recognition from skeleton motion maps

Identification of abnormal conditions in high-dimensional chemical process based on feature selection and deep learning

Multi-Scale Convolutional Network for Space-Based ADS-B Signal Separation with Single Antenna

Single Image De-Raining via Improved Generative Adversarial Nets

Retraction notice to “MicroRNA-613 impedes the proliferation and invasion of glioma cells by targeting cyclin-dependent kinase 14” [Biomed. Pharmacother. 98 (2018) 636–642]

Fault diagnosis for distillation process based on CNN–DAE

A fault diagnosis method for complex chemical process based on multi-model fusion

A Deep Attention Model for Environmental Sound Classification from Multi-Feature Data

Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images

Domain-Specific Entity Recognition as token-pair relation classification

A Fast Identification Method of Gunshot Types Based on Knowledge Distillation

CDC7-dependent transcriptional regulation of RAD54L is essential for tumorigenicity and radio-resistance of glioblastoma

A Deep Attention Model for Action Recognition from Skeleton Data

Variable Rate Independently Recurrent Neural Network (IndRNN) for Action Recognition

Dynamic alarm prediction for critical alarms using a probabilistic model

A Combination of Dynamic Simulation and Dynamic Time Warping for Fault Diagnosis of Chemical Process Startups

Action recognition based on joint trajectory maps with convolutional neural networks

Skeleton-based action recognition using LSTM and CNN

Optimized principal component analysis and multi-state Bayesian network integrated method for chemical process monitoring and variable state prediction

An intelligent quantitative risk assessment method for ammonia synthesis process

DFN: A deep fusion network for flexible single and multi-modal action recognition

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