Search Results - "Xu, Mengjuan"
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Cross-user Electromyography Pattern Recognition Based on A Novel Spatial-temporal Graph Convolutional Network
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2024)“…With the goal of promoting the development of myoelectric control technology, this paper focuses on exploring graph neural network (GNN) based robust…”
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Feasibility study on the application of a spiking neural network in myoelectric control systems
Published in Frontiers in neuroscience (12-06-2023)“…In recent years, the effectiveness of a spiking neural network (SNN) for Electromyography (EMG) pattern recognition has been validated, but there is a lack of…”
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Design and Numerical Analysis of Recuperator for a Liquid Carbon Dioxide Energy Storage System
Published in Applied sciences (01-12-2023)“…A liquid carbon dioxide energy storage (LCES) system has the characteristic of compact structure and easy liquefaction. As a component of heat recovery in the…”
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Dynamic analysis of nonlinear time-varying spur gear system subjected to multi-frequency excitation
Published in Journal of vibration and control (01-03-2019)“…Due to the complex working environment, gear systems always suffer from multiple excitations in actual engineering. This paper concerns the frequency response…”
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A Low-Cost High-Performance Data Augmentation for Deep Learning-Based Skin Lesion Classification
Published in BME frontiers (01-01-2022)“… There is a need to develop high-performance and low-cost data augmentation strategies for intelligent skin cancer screening devices that can be deployed in…”
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Predicted supply chain resilience based on structural evolution against random supply disruptions
Published in International journal of systems science. Operations & logistics (03-04-2014)“…Our research is aimed at developing a quantitative approach for assessing predicted supply chain resilience based on structural evolution against random supply…”
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Erratum to "A Low-Cost High-Performance Data Augmentation for Deep Learning-Based Skin Lesion Classification"
Published in BME frontiers (2023)“…[This corrects the article DOI: 10.34133/2022/9765307.]…”
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Enhancement of the degradation of atrazine through CoFe2O4 activated peroxymonosulfate (PMS) process: Kinetic, degradation intermediates, and toxicity evaluation
Published in Chemical engineering journal (Lausanne, Switzerland : 1996) (15-09-2018)“…[Display omitted] •CoFe2O4 could be a high-activity activator of PMS for the degradation of ATZ.•NO3−, HCO3−, and HPO42− would reduce the performance of…”
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Preliminary design and performance assessment of compressed supercritical carbon dioxide energy storage system
Published in Applied thermal engineering (25-01-2021)“…•Two supercritical carbon dioxide energy storage systems based on Brayton cycle are proposed.•Thermodynamic and economic comparisons between two CCES have been…”
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10
Catalytic degradation of sulfamethoxazole through peroxymonosulfate activated with expanded graphite loaded CoFe2O4 particles
Published in Chemical engineering journal (Lausanne, Switzerland : 1996) (01-08-2019)“…[Display omitted] •Expanded graphite (EG) was employed as the support of CoFe2O4.•CoFe2O4-EG possessed excellent catalytic performance for PMS.•Both surface…”
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Efficient degradation of sulfamethoxazole by NiCo2O4 modified expanded graphite activated peroxymonosulfate: Characterization, mechanism and degradation intermediates
Published in Journal of hazardous materials (15-11-2020)“…[Display omitted] •Expanded graphite (EG) was applied as the support of NiCo2O4.•NiCo2O4-EG showed outstanding performances to PMS activation for SMX…”
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12
A Novel Event-Driven Spiking Convolutional Neural Network for Electromyography Pattern Recognition
Published in IEEE transactions on biomedical engineering (01-09-2023)“…Electromyography (EMG) pattern recognition is an important technology for prosthesis control and human-computer interaction etc. However, the practical…”
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13
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Published in IEEE transactions on medical imaging (01-05-2022)“…Deep convolutional neural network (DCNN) models have been widely explored for skin disease diagnosis and some of them have achieved the diagnostic outcomes…”
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Thermodynamic analysis of a novel liquid carbon dioxide energy storage system and comparison to a liquid air energy storage system
Published in Journal of cleaner production (01-01-2020)“…Renewable energy is difficult to utilize efficiently due to its intermittent. Energy storage system is commonly considered to be an effective solution to…”
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Preliminary conceptual exploration about performance improvement on supercritical CO2 power system via integrating with different absorption power generation systems
Published in Energy conversion and management (01-10-2018)“…•Two types of combined sCO2/APG system are proposed.•Quantitative parameter analysis is conducted based on the decision variables.•Genetic algorithm is adopted…”
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Preliminary conceptual exploration about performance improvement on supercritical CO^sub 2^ power system via integrating with different absorption power generation systems
Published in Energy conversion and management (01-10-2018)“…Supercritical CO2 (sCO2) power system has been investigated by many scholars due to its attractive advantages of higher efficiency, compact system structure…”
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Off-Design Analysis of a Supercritical CO2 Brayton Cycle with Ambient Air as the Cold Source Driven by Waste Heat from Gas Turbine
Published in Heat transfer engineering (08-09-2021)“…Utilizing energy efficiently could greatly relieve current energy crisis. Therefore, in this article, a simple supercritical CO 2 Brayton cycle for waste heat…”
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Off-Design Analysis of a Supercritical CO 2 Brayton Cycle with Ambient Air as the Cold Source Driven by Waste Heat from Gas Turbine
Published in Heat transfer engineering (08-09-2021)Get full text
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First-principles study of the adsorption properties of atoms and molecules on UN2 (001) surface
Published in Journal of nuclear materials (01-09-2017)“…Uranium nitrides are one kind of accident-tolerant fuels and have been paid more attention recently. With the first-principles Density-Functional Theory (DFT)…”
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Research and Application of Artificial Intelligence in Enterprise Production Risk Management
Published in 2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) (28-10-2022)“…The continuous development of artificial intelligence makes it penetrate life and brings new productivity into all industries. To improve production…”
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