Search Results - "Liu, Guokai"
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An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis
Published in Sensors (Basel, Switzerland) (28-07-2017)“…Intelligent machine health monitoring and fault diagnosis are becoming increasingly important for modern manufacturing industries. Current fault diagnosis…”
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An Ensemble Stacked Convolutional Neural Network Model for Environmental Event Sound Recognition
Published in Applied sciences (01-07-2018)“…Convolutional neural networks (CNNs) with log-mel audio representation and CNN-based end-to-end learning have both been used for environmental event sound…”
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Knowledge transfer in fault diagnosis of rotary machines
Published in IET collaborative intelligent manufacturing (01-03-2022)“…Data‐driven fault diagnosis has prevailed in machine condition monitoring in the past decades. However, traditional machine‐ and deep‐learning‐based fault…”
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Effects of ultrasound-guided thoracolumbar interfascial plane block combined with general anaesthesia versus general anaesthesia alone on emergence agitation in children with cerebral palsy undergoing selective posterior rhizotomy: protocol for a randomised controlled clinical trial
Published in BMJ open (07-08-2024)“…IntroductionSelective posterior rhizotomy (SPR) is a preferred procedure for relieving spastic children with cerebral palsy, but it is associated with severe…”
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Active label-denoising algorithm based on broad learning for annotation of machine health status
Published in Science China. Technological sciences (01-09-2022)“…Deep learning has led to tremendous success in machine maintenance and fault diagnosis. However, this success is predicated on the correctly annotated…”
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Novel Candy-like Cu4O3 Microstructure: Facile Wet Chemical Synthesis, Formation Mechanism, and Good Long-Term Antibacterial Activities
Published in ACS applied materials & interfaces (31-10-2018)“…The novel candy-like Cu4O3 microstructure has been synthesized successfully for the first time by a facile wet chemical method, and the formation mechanism was…”
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An effective method for recovering ultrafine SnO2, MgSn(OH)6, and Zn from complex iron tailings
Published in Journal of materials research and technology (01-01-2024)“…The generation of complex tailings from iron mining is continuously increasing, reaching a reserve of 500 million tons. The iron tailings mainly contain…”
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Improving Bearing Fault Diagnosis Using Maximum Information Coefficient Based Feature Selection
Published in Applied sciences (01-11-2018)“…Effective feature selection can help improve the classification performance in bearing fault diagnosis. This paper proposes a novel feature selection method…”
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A balanced and weighted alignment network for partial transfer fault diagnosis
Published in ISA transactions (01-11-2022)“…Domain adaptation techniques have attracted great attention in mechanical fault diagnosis. However, most existing methods work under the assumption that the…”
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A multi-representation-based domain adaptation network for fault diagnosis
Published in Measurement : journal of the International Measurement Confederation (01-09-2021)“…•A novel multi-representation-based network is proposed for fault diagnosis.•Three time–frequency representations are designed to reflect machine health…”
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Active Broad-Transfer Learning Algorithm for Class-Imbalanced Fault Diagnosis
Published in IEEE transactions on instrumentation and measurement (2023)“…Knowledge transfer with class-imbalanced data is a challenge in predictive maintenance and fault diagnosis. Deep learning algorithms have provided promising…”
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WO3 nanoplates for sensitive and selective detections of both acetone and NH3 gases at different operating temperatures
Published in Journal of alloys and compounds (25-03-2021)“…WO3 nanoplates with abundant surface chemisorbed oxygen species were prepared by a facile hydrothermal method in the presence of polyvinylpyrrolidone (PVP)…”
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Pd quantum dots loading Ti3+,N co-doped TiO2 nanotube arrays with enhanced photocatalytic hydrogen production and the salt ions effects
Published in Applied surface science (28-02-2021)“…[Display omitted] •Pd quantum dots loading Ti3+,N co-doped TiO2 nanotube arrays were prepared.•TiO2NTA/Pd catalysts display enhanced photocatalytic H2…”
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Active federated transfer algorithm based on broad learning for fault diagnosis
Published in Measurement : journal of the International Measurement Confederation (28-02-2023)“…Federated learning (FL) guaranteeing data privacy is of great interest in decentralized fault diagnosis. However, limited research attention has been paid to…”
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Predictive Modeling With an Adaptive Unsupervised Broad Transfer Algorithm
Published in IEEE transactions on instrumentation and measurement (2021)“…Deep-learning algorithms have produced promising results, however, domain adaptation remains a challenge. In addition, excessive training time and computing…”
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Knockdown of miR-130a-3p alleviates spinal cord injury induced neuropathic pain by activating IGF-1/IGF-1R pathway
Published in Journal of neuroimmunology (15-02-2021)“…Recent studies have elucidated the instrumental role of microRNAs (miRNAs) in neuropathic pain (NP) progression. As one member of miRNAs, miR-130a-3p has been…”
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Automated broad transfer learning for cross-domain fault diagnosis
Published in Journal of manufacturing systems (01-02-2023)“…Smart manufacturing system pursues automated modeling algorithms for industrial applications in dynamic environments. The prevalent deep transfer learning…”
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Organocatalytic Enantioselective Synthesis of Dihydropyrano‐ indole Derivatives Bearing Trifluoromethylated All‐Carbon‐ Substituted Stereocenters
Published in Advanced synthesis & catalysis (07-08-2017)“…Malononitrile and isatin‐derived trifluoromethylacrylates underwent a Michael addition/cyclization reaction, a process that was catalyzed efficiently by a…”
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Modeling Diurnal Variation of Land Surface Albedo Over Rugged Terrain
Published in IEEE transactions on geoscience and remote sensing (2024)“…The diurnal variation of land surface albedo (DVLSA) is crucial for understanding energy budgets and climate change. As topography complicates the radiative…”
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