Yanqiu Li

ORCID: 0000-0002-8896-8934
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About
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Research Areas
  • Railway Systems and Energy Efficiency
  • Catalysis for Biomass Conversion
  • Flow Measurement and Analysis
  • Catalysis and Hydrodesulfurization Studies
  • Calibration and Measurement Techniques
  • Nanowire Synthesis and Applications
  • Photoacoustic and Ultrasonic Imaging
  • Bone Tissue Engineering Materials
  • Metal and Thin Film Mechanics
  • Recycled Aggregate Concrete Performance
  • Chemical Synthesis and Characterization
  • solar cell performance optimization
  • Machine Learning and ELM
  • Metallic Glasses and Amorphous Alloys
  • Extraction and Separation Processes
  • Graphene research and applications
  • Nanomaterials for catalytic reactions
  • Radioactive element chemistry and processing
  • Municipal Solid Waste Management
  • Embedded Systems and FPGA Design
  • Graphene and Nanomaterials Applications
  • Railway Engineering and Dynamics
  • Electrical Contact Performance and Analysis
  • Advanced Scientific Research Methods
  • Building Energy and Comfort Optimization

Chongqing University of Science and Technology
2022-2024

Shanghai Construction Group (China)
2024

Chinese Academy of Sciences
2018-2024

Ningbo Institute of Industrial Technology
2024

Beijing Jiaotong University
2020-2021

Henan University
2021

Wuhan National Laboratory for Optoelectronics
2020

Huazhong University of Science and Technology
2020

Guangdong University of Technology
2020

Tianjin Medical University
2016-2019

Long-term, real-time, and comfortable epidermal electronics are of great practical importance for healthcare monitoring human–machine interaction. However, traditional physiological signal confined by the specific clinical sites unreliability electrodes leads to restrictions on its application. Herein, we constructed a solution-processed submicron (down 230 nm), free-standing, breathable sandwich-structured hybrid electrode composed silver nanowire network with conductive polymer film, which...

10.1021/acsami.0c04134 article EN ACS Applied Materials & Interfaces 2020-05-04

In this study, a hybrid method combining extreme learning machine (ELM) and particle swarm optimization (PSO) is proposed to forecast train arrival delays that can be used for later delay management timetable optimization. First, nine characteristics (e.g., buffer time, the number, station code) associated with are chosen analyzed using extra trees classifier. Next, an ELM one hidden layer developed predict by considering these mentioned before as input features. Furthermore, PSO algorithm...

10.1155/2021/7763126 article EN cc-by Journal of Advanced Transportation 2021-06-14

Abstract Direct metal laser sintering is a technology that allows the fabrication of titanium (Ti) implants with functional gradation porosity and surface roughness according to three-dimensional (3D) computer data. The direct sintered (DMLS-Ti) may provide abundant binding sites for bacteria. Bacterial colonization subsequent biofilm formation can cause unsatisfactory cell adhesion implant-related infections. To prevent such infections, novel phase-transited lysozyme (PTL) was utilized as...

10.1038/srep36408 article EN cc-by Scientific Reports 2016-11-08

The continuous growth of interior decoration activities has caused a massive consumption energy and materials, which contributed to large amount carbon emissions in the construction sector. building were overlooked previous studies. Hence, life cycle assessment (LCA) approach was employed build model for decoration. An office selected verify availability. results show that intensity project 254.5 kg CO2 eq/m2. operation stage most crucial contributor decoration, accounting 49.8%; followed by...

10.3390/su151914055 article EN Sustainability 2023-09-22

Accuracy and speed of algorithms play an important role in the reconstruction temperature field measurements by acoustic tomography. Existing are based on static models which only consider measurement information. A dynamic model three-dimensional tomography is established this paper. algorithm proposed considering both information evolution field. An objective function built fuses space constraint with its Robust estimation used to extend function. The method combines a tunneling local...

10.3390/s17092084 article EN cc-by Sensors 2017-09-12

The magnetic and mechanical properties of Co-P films with amorphous nanocrystalline structures synthesized through a new route combining ultrasonic vibration multipulse electroplating were studied. deposited film shows excellent soft properties, whereas the weak hard properties. interfacial adhesion between substrate was investigated by nanoscratch method. binding force is much larger than that film. In addition, nanoindentation experiments show electroplated have good

10.1109/tmag.2011.2158074 article EN IEEE Transactions on Magnetics 2011-10-01

Graphene-based materials have been attracted many attentions due to their excellent properties and potential applications in fields. Graphene also provides a flexible substrate develop novel functional by hybridizing with other organic or inorganic components. Herein, we report the functionalization of reduced graphene oxide (RGO) an azobenzene derivative (BNB-t8) containing π-conjugated moiety hydrogen bonding groups, improve optical nonlinear RGO. With introducing BNB-t8, new absorption...

10.1364/oe.416079 article EN cc-by Optics Express 2021-01-22

This study aimed to quantitatively assess the environmental impacts of different methods used for treating excavated soil and rock (ESR) in Shenzhen, namely landfilling, sintering, non-sintering, using life cycle assessment (LCA) method. The findings indicate that recycling ESR through sintering or non-sintering processes offers more sustainable alternatives than landfilling. recycled products derived from can effectively replace traditional building materials, thereby reducing their...

10.3390/su16052022 article EN Sustainability 2024-02-29

Train delay prediction is a significant part of railway management, which key to timetable optimization Highspeed Railways (HSRs). In this paper, an extreme learning machine (ELM) tuned via particle swarm (PSO) proposed predict train arrival delays HSR lines. First, five characteristics (e.g., the plan running time between present station and next station, stations) are selected from nine as input variables for ELM by correlation coefficient matrix. Next, PSO algorithm implemented...

10.1109/itsc45102.2020.9294457 article EN 2020-09-20

Until now, the performance of graphene/GaAs solar cells is not optimized due to interfacial defect states and recombination at front contact. Using analytical modeling tool: AFORS-HET, we introduce an electron-blocking/hole-transporting layer (EBHTL) in original structure graphene/n-GaAs improve overall cells. The modified performs well suppressing contact, insensitive hole electron rates. Importantly, obtain a record cell with open-circuit voltage 833.7 mV, short-circuit current density...

10.1088/2053-1591/aae6a8 article EN Materials Research Express 2018-10-08

Development of temperature reconstruction algorithm plays an important role in the application field measurement by acoustic tomography. A dynamic model tomography is established. based on Kalman Filter (KF) proposed considering both and evolution information. An objective function fusing space constrain with information designed. Simulation results three distribution models show that quality method KF better than those static methods.

10.1088/1755-1315/64/1/012095 article EN IOP Conference Series Earth and Environmental Science 2017-05-01

The principle of three-dimensional temperature field reconstruction by acoustic is introduced. In order to realize the acoustic, Newton-Raphson method based on least square developed. Three-dimensional reconstructed regularization iteration that term added according features distribution. It shown algorithm and can field.

10.12783/dtetr/mimece2016/9992 article EN DEStech Transactions on Engineering and Technology Research 2017-05-23
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