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A Review of Deep Learning-Based Semantic Segmentation for Point Cloud

IEEE access, 2019, Vol.7, p.179118-179133

2019

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Fault Diagnosis Framework of Rolling Bearing Using Adaptive Sparse Contrative Auto-Encoder With Optimized Unsupervised Extreme Learning Machine

IEEE access, 2020, Vol.8, p.99154-99170

2020

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Thermal Characteristic and Analysis of Electro-Hydrostatic Actuator

IEEE access, 2024-01, Vol.12, p.1-1

2024

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A High Mobility of Up to 13 cm²V−1s−1 in Dinaphttho-Thieno-Thiophene Single-Crystal Field-Effect Transistors via Self-Assembled Monolayer Selection

IEEE electron device letters, 2020-05, Vol.41 (5), p.757-760

2020

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Online Fault Diagnosis Method for High-Performance Converters Using Inductor Voltage Polar Signatures

IEEE access, 2020, Vol.8, p.179778-179788

2020

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Photolithography-Compatible Flexible Electrodes Conformed Onto an Organic Bulk Crystal for Fabrication of Large-Scale Organic Transistor Array

IEEE electron device letters, 2019-05, Vol.40 (5), p.788-791

2019

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Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data

IEEE transactions on industrial informatics, 2021-08, Vol.17 (8), p.5450-5460

2021

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Semisupervised Deep Sparse Auto-Encoder With Local and Nonlocal Information for Intelligent Fault Diagnosis of Rotating Machinery

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-13

2021

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The Detecting of Irrigated Croplands Changes in 1987-2015 in Zhangjiakou

IEEE access, 2021, Vol.9, p.96076-96091

2021

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Organic Single-Crystal Nanowire Transistor Fabricated by Glass Fiber Mask Method

IEEE transactions on electron devices, 2016-02, Vol.63 (2), p.787-792

2016

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Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.6339-6353

2023

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Weighting Quantization Matrices for HEVC/H.265-Coded RGB Videos

IEEE access, 2019, Vol.7, p.36019-36032

2019

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Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation

IEEE/ASME transactions on mechatronics, 2022-10, Vol.27 (5), p.4143-4152

2022

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Incremental learning for remaining useful life prediction via temporal cascade broad learning system with newly acquired data

IEEE transactions on industrial informatics, 2023-04, Vol.19 (4), p.1-11

2023

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Health Assessment of Rotating Equipment With Unseen Conditions Using Adversarial Domain Generalization Toward Self-Supervised Regularization Learning

IEEE/ASME transactions on mechatronics, 2022-12, Vol.27 (6), p.4675-4685

2022

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Intelligent Thermal Error Prognostics of Gear Grinding Machine Spindle Based on Model-Data Fusion Approach

IEEE sensors journal, 2024-09, Vol.24 (18), p.29074-29085

2024

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Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions

IEEE transactions on industrial informatics, 2023-01, Vol.19 (1), p.166-176

2023

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Intelligent Fault Diagnosis of Multichannel Motor-Rotor System Based on Multimanifold Deep Extreme Learning Machine

IEEE/ASME transactions on mechatronics, 2020-10, Vol.25 (5), p.2177-2187

2020

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A Novel Multisensor Fusion Transformer and Its Application Into Rotating Machinery Fault Diagnosis

IEEE transactions on instrumentation and measurement, 2023, Vol.72, p.1-12

2023

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Analysis of Hydrogen Energy Storage Location and Capacity Determination and Power Grid Planning Suitable for Renewable Energy Large-Scale Development

IEEE access, 2024-08, p.1-1

2024

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Adaptive Multiscale Convolution Manifold Embedding Networks for Intelligent Fault Diagnosis of Servo Motor-Cylindrical Rolling Bearing Under Variable Working Conditions

IEEE/ASME transactions on mechatronics, 2024-06, Vol.29 (3), p.2230-2240

2024

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Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-12

2021

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A Novel Multi-sensor Fusion Transformer and Its Application into Rotating Machinery Fault Diagnosis

IEEE transactions on instrumentation and measurement, 2023-02, p.1-1

2023

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Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-12

2021

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Machinery Probabilistic Few-Shot Prognostics Considering Prediction Uncertainty

IEEE/ASME transactions on mechatronics, 2024-02, Vol.29 (1), p.106-118

2024

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A Review of Deep Learning-Based Semantic Segmentation for Point Cloud

Fault Diagnosis Framework of Rolling Bearing Using Adaptive Sparse Contrative Auto-Encoder With Optimized Unsupervised Extreme Learning Machine

Thermal Characteristic and Analysis of Electro-Hydrostatic Actuator

A High Mobility of Up to 13 cm²V−1s−1 in Dinaphttho-Thieno-Thiophene Single-Crystal Field-Effect Transistors via Self-Assembled Monolayer Selection

Online Fault Diagnosis Method for High-Performance Converters Using Inductor Voltage Polar Signatures

Photolithography-Compatible Flexible Electrodes Conformed Onto an Organic Bulk Crystal for Fabrication of Large-Scale Organic Transistor Array

Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data

Semisupervised Deep Sparse Auto-Encoder With Local and Nonlocal Information for Intelligent Fault Diagnosis of Rotating Machinery

The Detecting of Irrigated Croplands Changes in 1987-2015 in Zhangjiakou

Organic Single-Crystal Nanowire Transistor Fabricated by Glass Fiber Mask Method

Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network

Weighting Quantization Matrices for HEVC/H.265-Coded RGB Videos

Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation

Incremental learning for remaining useful life prediction via temporal cascade broad learning system with newly acquired data

Health Assessment of Rotating Equipment With Unseen Conditions Using Adversarial Domain Generalization Toward Self-Supervised Regularization Learning

Intelligent Thermal Error Prognostics of Gear Grinding Machine Spindle Based on Model-Data Fusion Approach

Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions

Intelligent Fault Diagnosis of Multichannel Motor-Rotor System Based on Multimanifold Deep Extreme Learning Machine

A Novel Multisensor Fusion Transformer and Its Application Into Rotating Machinery Fault Diagnosis

Analysis of Hydrogen Energy Storage Location and Capacity Determination and Power Grid Planning Suitable for Renewable Energy Large-Scale Development

Adaptive Multiscale Convolution Manifold Embedding Networks for Intelligent Fault Diagnosis of Servo Motor-Cylindrical Rolling Bearing Under Variable Working Conditions

Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing

A Novel Multi-sensor Fusion Transformer and Its Application into Rotating Machinery Fault Diagnosis

Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data

Machinery Probabilistic Few-Shot Prognostics Considering Prediction Uncertainty

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