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Single-View 3D Garment Reconstruction Using Neural Volumetric Rendering

IEEE access, 2024, Vol.12, p.49682-49693

2024

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Improved Singular Value Decomposition (TopSVD) for Source Number Estimation of Low SNR in Blind Source Separation

IEEE access, 2017-01, Vol.5, p.26460-26465

2017

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An adaptive anti-noise gear fault diagnosis method based on attention residual prototypical network under limited samples

Applied soft computing, 2022-08, Vol.125, p.109120, Article 109120

2022

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An Open Set Diagnosis Method for Rolling Bearing Faults Based on Prototype and Reconstructed Integrated Network

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1

2023

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Rational tuning towards B-sites (B = Mn, Co, Al) on CoB2O4 binary oxide for efficient selective catalytic oxidation of ammonia

Chemical engineering journal (Lausanne, Switzerland : 1996), 2023-02, Vol.453, p.139941, Article 139941

2023

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Construction of the efficient attention prototypical net based on the time–frequency characterization of vibration signals under noisy small sample

Measurement : journal of the International Measurement Confederation, 2021-07, Vol.179, p.109412, Article 109412

2021

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Efficient Cu-Co Dual-Site promotes selective catalytic oxidation of ammonia over cobalt based catalysts

Chemical engineering journal (Lausanne, Switzerland : 1996), 2024-04, Vol.485, p.149629, Article 149629

2024

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An interpretable anti-noise network for rolling bearing fault diagnosis based on FSWT

Measurement : journal of the International Measurement Confederation, 2022-02, Vol.190, p.110698, Article 110698

2022

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A zero-shot learning fault diagnosis method of rolling bearing based on extended semantic information under unknown conditions

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023, Vol.45 (1), Article 35

2023

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A real-time mechanical fault diagnosis approach based on lightweight architecture search considering industrial edge deployments

Engineering applications of artificial intelligence, 2023-08, Vol.123, p.106433, Article 106433

2023

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A complementarity model and algorithm for multi-commodity flow supply chain network equilibrium with random demands

Engineering optimization, 2022-10, Vol.54 (10), p.1668-1691

2022

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Resistance spot welding quality identification with particle swarm optimization and a kernel extreme learning machine model

International journal of advanced manufacturing technology, 2017-07, Vol.91 (5-8), p.1879-1887

2017

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Local Electron Environment Regulation of Spinel CoMn2O4 Induced Effective Reactant Adsorption and Transformation of Lattice Oxygen for Toluene Oxidation

Environmental science & technology, 2023-12, Vol.57 (51), p.21888-21897

2023

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Sparse representation of vibration signals of rolling bearing based on K-SVD combined with DCT

2021 40th Chinese Control Conference (CCC), 2021, p.2908-2913

2021

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A fault feature extraction method for rotating shaft with multiple weak faults based on underdetermined blind source signal

Measurement science & technology, 2018-12, Vol.29 (12), p.125901

2018

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A fault mechanism-based model for bearing fault diagnosis under non-stationary conditions without target condition samples

Measurement : journal of the International Measurement Confederation, 2022-08, Vol.199, p.111499, Article 111499

2022

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A 5th-Order Constant Bandwidth Tunable Bandpass Filter With Two Cascaded Trisection Structures

IEEE transactions on circuits and systems. II, Express briefs, 2023-01, Vol.70 (1), p.126-130

2023

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Stages prediction of the remaining useful life of rolling bearing based on regularized extreme learning machine

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2021-11, Vol.235 (22), p.6599-6610

2021

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Uncertainty Measurement of the Prediction of the Remaining Useful Life of Rolling Bearings

Journal of nondestructive evaluation, diagnostics and prognostics of engineering systems, 2022-08, Vol.5 (3)

2022

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A fault diagnosis network based on domain adversarial learning and distribution matching for rotating machine vibration signal with noise and across-load conditions

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023, Vol.45 (1), Article 51

2023

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An optimization model and method for supply chain equilibrium management problem

Mathematical foundations of computing, 2022-05, Vol.5 (2), p.145

2022

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A fault feature extraction method for single-channel signal of rotary machinery based on VMD and KICA

Journal of Vibroengineering, 2019-03, Vol.21 (2), p.370-383

2019

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Remaining useful life prediction of bearings with different failure types based on multi-feature and deep convolution transfer learning

Eksploatacja i niezawodność, 2021-01, Vol.23 (4), p.685-694

2021

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Optimization of internal thread structure of force sensor considering fatigue performance

Sensor review, 2019-11, Vol.39 (6), p.835-843

2019

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Performance analysis of wireless ad-hoc network based on bidirectional full-duplex and saturated state

IET communications, 2018-07, Vol.12 (12), p.1422-1430

2018

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Single-View 3D Garment Reconstruction Using Neural Volumetric Rendering

Improved Singular Value Decomposition (TopSVD) for Source Number Estimation of Low SNR in Blind Source Separation

An adaptive anti-noise gear fault diagnosis method based on attention residual prototypical network under limited samples

An Open Set Diagnosis Method for Rolling Bearing Faults Based on Prototype and Reconstructed Integrated Network

Rational tuning towards B-sites (B = Mn, Co, Al) on CoB2O4 binary oxide for efficient selective catalytic oxidation of ammonia

Construction of the efficient attention prototypical net based on the time–frequency characterization of vibration signals under noisy small sample

Efficient Cu-Co Dual-Site promotes selective catalytic oxidation of ammonia over cobalt based catalysts

An interpretable anti-noise network for rolling bearing fault diagnosis based on FSWT

A zero-shot learning fault diagnosis method of rolling bearing based on extended semantic information under unknown conditions

A real-time mechanical fault diagnosis approach based on lightweight architecture search considering industrial edge deployments

A complementarity model and algorithm for multi-commodity flow supply chain network equilibrium with random demands

Resistance spot welding quality identification with particle swarm optimization and a kernel extreme learning machine model

Local Electron Environment Regulation of Spinel CoMn2O4 Induced Effective Reactant Adsorption and Transformation of Lattice Oxygen for Toluene Oxidation

Sparse representation of vibration signals of rolling bearing based on K-SVD combined with DCT

A fault feature extraction method for rotating shaft with multiple weak faults based on underdetermined blind source signal

A fault mechanism-based model for bearing fault diagnosis under non-stationary conditions without target condition samples

A 5th-Order Constant Bandwidth Tunable Bandpass Filter With Two Cascaded Trisection Structures

Stages prediction of the remaining useful life of rolling bearing based on regularized extreme learning machine

Uncertainty Measurement of the Prediction of the Remaining Useful Life of Rolling Bearings

A fault diagnosis network based on domain adversarial learning and distribution matching for rotating machine vibration signal with noise and across-load conditions

An optimization model and method for supply chain equilibrium management problem

A fault feature extraction method for single-channel signal of rotary machinery based on VMD and KICA

Remaining useful life prediction of bearings with different failure types based on multi-feature and deep convolution transfer learning

Optimization of internal thread structure of force sensor considering fatigue performance

Performance analysis of wireless ad-hoc network based on bidirectional full-duplex and saturated state

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