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Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning

IEEE access, 2019, Vol.7, p.110895-110904

2019

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DeepSeqPan, a novel deep convolutional neural network model for pan-specific class I HLA-peptide binding affinity prediction

Scientific reports, 2019-01, Vol.9 (1), p.794, Article 794

2019

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Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation

Applied sciences, 2018-12, Vol.8 (12), p.2416

2018

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A survey of unmanned aerial vehicle flight data anomaly detection: Technologies, applications, and future directions

Science China. Technological sciences, 2023-04, Vol.66 (4), p.901-919

2023

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A Novel Bearing Fault Diagnosis Method Based on Few-Shot Transfer Learning across Different Datasets

Entropy (Basel, Switzerland), 2022-09, Vol.24 (9), p.1295

2022

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Dynamic scheduling for dual-objective job shop with machine breakdown by reinforcement learning

Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture, 2024-01, Vol.238 (1-2), p.3-17

2024

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Data-driven unsupervised anomaly detection and recovery of unmanned aerial vehicle flight data based on spatiotemporal correlation

Science China. Technological sciences, 2023-05, Vol.66 (5), p.1304-1316

2023

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Trajectory Planning of Robot Manipulator Based on RBF Neural Network

Entropy (Basel, Switzerland), 2021-09, Vol.23 (9), p.1207

2021

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Exploring Semantic Information Extraction From Different Data Forms in 3D Point Cloud Semantic Segmentation

IEEE access, 2023, Vol.11, p.61929-61949

2023

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A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles

Journal of Computational Design and Engineering , 2022, 9(4), , pp.1511-1524

2022

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Digital twin-enabled adaptive scheduling strategy based on deep reinforcement learning

Science China. Technological sciences, 2023-07, Vol.66 (7), p.1937-1951

2023

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Nonlinear Hyperparameter Optimization of a Neural Network in Image Processing for Micromachines

Micromachines (Basel), 2021-11, Vol.12 (12), p.1504

2021

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A Siamese Vision Transformer for Bearings Fault Diagnosis

Micromachines (Basel), 2022-09, Vol.13 (10), p.1656

2022

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Deep learning assisted prediction of retained austenite in the carburized layer for evaluating the wear resistance of mild steel

Journal of materials research and technology, 2022-11, Vol.21, p.353-362

2022

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Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm

IET collaborative intelligent manufacturing, 2024-09, Vol.6 (3), p.n/a

2024

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Circle-U-Net: An Efficient Architecture for Semantic Segmentation

Algorithms, 2021, Vol.14 (6), p.159

2021

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A Novel Method of Bearing Fault Diagnosis in Time-Frequency Graphs Using InceptionResnet and Deformable Convolution Networks

IEEE access, 2020, Vol.8, p.92743-92753

2020

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Meta-learning for few-shot bearing fault diagnosis under complex working conditions

Neurocomputing (Amsterdam), 2021-06, Vol.439, p.197-211

2021

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FW-UAV fault diagnosis based on knowledge complementary network under small sample

Mechanical systems and signal processing, 2024-06, Vol.215, p.111418, Article 111418

2024

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Spatio-temporal correlation-based multiple regression for anomaly detection and recovery of unmanned aerial vehicle flight data

Advanced engineering informatics, 2024-04, Vol.60, p.102440, Article 102440

2024

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Effect of pins and exit-step on thermal performance and energy efficiency of hydrogen-fueled combustion for micro-thermophotovoltaic

Energy (Oxford), 2022-01, Vol.239, p.122341, Article 122341

2022

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Investigation on hydrogen-fueled combustion characteristics and thermal performance in a micro heat-recirculation combustor inserted with block

International journal of hydrogen energy, 2021-10, Vol.46 (73), p.36515-36527

2021

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Deeply Integrated Autoencoder-Based Anomaly Detection and Critical Parameter Identification for Unmanned Aerial Vehicle Actuators

IEEE sensors journal, 2024-08, Vol.24 (15), p.24905-24920

2024

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Multi-Head multimodal deep interest recommendation network

Knowledge-based systems, 2023-09, Vol.276, p.110689, Article 110689

2023

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Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.8025730-8025730

2021

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Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning

DeepSeqPan, a novel deep convolutional neural network model for pan-specific class I HLA-peptide binding affinity prediction

Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation

A survey of unmanned aerial vehicle flight data anomaly detection: Technologies, applications, and future directions

A Novel Bearing Fault Diagnosis Method Based on Few-Shot Transfer Learning across Different Datasets

Dynamic scheduling for dual-objective job shop with machine breakdown by reinforcement learning

Data-driven unsupervised anomaly detection and recovery of unmanned aerial vehicle flight data based on spatiotemporal correlation

Trajectory Planning of Robot Manipulator Based on RBF Neural Network

Exploring Semantic Information Extraction From Different Data Forms in 3D Point Cloud Semantic Segmentation

A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles

Digital twin-enabled adaptive scheduling strategy based on deep reinforcement learning

Nonlinear Hyperparameter Optimization of a Neural Network in Image Processing for Micromachines

A Siamese Vision Transformer for Bearings Fault Diagnosis

Deep learning assisted prediction of retained austenite in the carburized layer for evaluating the wear resistance of mild steel

Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm

Circle-U-Net: An Efficient Architecture for Semantic Segmentation

A Novel Method of Bearing Fault Diagnosis in Time-Frequency Graphs Using InceptionResnet and Deformable Convolution Networks

Meta-learning for few-shot bearing fault diagnosis under complex working conditions

FW-UAV fault diagnosis based on knowledge complementary network under small sample

Spatio-temporal correlation-based multiple regression for anomaly detection and recovery of unmanned aerial vehicle flight data

Effect of pins and exit-step on thermal performance and energy efficiency of hydrogen-fueled combustion for micro-thermophotovoltaic

Investigation on hydrogen-fueled combustion characteristics and thermal performance in a micro heat-recirculation combustor inserted with block

Deeply Integrated Autoencoder-Based Anomaly Detection and Critical Parameter Identification for Unmanned Aerial Vehicle Actuators

Multi-Head multimodal deep interest recommendation network

Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot

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