P. Li

ORCID: 0000-0002-4679-8359
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Magnetic confinement fusion research
  • Geographic Information Systems Studies
  • Superconducting Materials and Applications
  • Automated Road and Building Extraction
  • Particle accelerators and beam dynamics
  • Ionosphere and magnetosphere dynamics
  • Microstructure and mechanical properties
  • Laser-Plasma Interactions and Diagnostics
  • Antenna Design and Analysis
  • High-Velocity Impact and Material Behavior
  • Remote-Sensing Image Classification
  • Chaos-based Image/Signal Encryption
  • Energy Harvesting in Wireless Networks
  • Neural Networks and Applications
  • Cellular Automata and Applications
  • Wireless Power Transfer Systems
  • DNA and Biological Computing
  • Advanced Welding Techniques Analysis
  • Seedling growth and survival studies
  • Antenna Design and Optimization
  • Multiferroics and related materials
  • Particle Accelerators and Free-Electron Lasers
  • Soil erosion and sediment transport
  • Vibration and Dynamic Analysis
  • Remote Sensing and Land Use

Lanzhou Jiaotong University
2021-2025

Harbin Medical University
2024

Fourth Affiliated Hospital of Harbin Medical University
2024

Institute of Plasma Physics
2019-2024

Chinese Institute for Brain Research
2024

Beijing Normal University
2024

Hefei Institutes of Physical Science
2024

Chinese Academy of Sciences
2013-2024

Xidian University
2011-2024

Ningbo Medical Center Lihuili Hospital
2024

Drainage pattern recognition is crucial for geospatial understanding and hydrologic modelling. Currently, drainage methods employ geometric measures of overall local features river networks but lack basin unit shape features, so that potential correlations between segments are usually ignored, resulting in poor results. In order to overcome this problem, paper proposes a supervised graph neural network method considers the networks. First, based on hierarchy networks, confluence angle units,...

10.1080/17538947.2023.2172224 article EN cc-by International Journal of Digital Earth 2023-03-01

Abstract Background Lipid metabolism changes occur in early Alzheimer's disease (AD) patients. Yet little is known about metabolic gene AD cortex. Methods The lipid genes selected from two datasets (GSE39420 and GSE118553) were analyzed with enrichment analysis. Protein–protein interaction network construction correlation analyses used to screen core genes. Literature analysis molecular docking applied explore potential therapeutic drugs. Results 60 differentially expressed patients’ cortex...

10.1186/s40001-024-01730-w article EN cc-by European journal of medical research 2024-03-25

This study aims to develop a robust myoelectric control method for gait phase recognition in lower-limb exoskeleton robot. In the proposed method, metric learning-based temporal convolution network (ML-TCN) was utilized extract discriminative features of surface electromyography (sEMG) signals and recognize four phases: heel strike (HS), foot flat (FF), off (HO), swing (SW). Vicon validated effectiveness sEMG data-acquisition system. The acquires significantly more than long short-term...

10.1109/tmrb.2022.3166543 article EN IEEE Transactions on Medical Robotics and Bionics 2022-04-12

Selection of urban road networks has always been the focus map generalization. Previous research shown that machine learning techniques effectively address multi-attribute weighting challenges. However, these studies primarily on supervised requires large amounts labeled data and scale-specific training, limiting automation network selection processes. To challenges, this study proposes an automated network. The method improves level process by fusing PageRank algorithm attribute importance...

10.1080/15230406.2024.2439311 article EN Cartography and Geographic Information Science 2025-01-09

The influence of different calcium source and levels on the growth performance, immune organ indexes, intestinal microbiota morphology broiler chickens was studied. We used scallop shells to produce active dicalcium phosphate (ADP), shell powder cleaned by acetic acid (SCAC), distilled water (SS). A total 300 1-d-old were randomly assigned 6 treatments. received a basal diet supplemented with 0.95% or 1.05% ADP, SCAC, SS treatments until d 42. Compared fed SCAC SS, ADP supplementation is...

10.3382/japr/pfz033 article EN cc-by-nc-nd The Journal of Applied Poultry Research 2019-04-09

Micro-scale and nano-scale dispersed gel particles (DPG) are capable of deep migration in oil reservoirs due to their deformability, viscoelasticity, suitable particle size. Therefore, it has been widely studied applied reservoir conformance control recent years. However, for highly permeable channels, plugging performance is still limited. In addition, conventional situ cross-linked polymer gels (ISCPGs) have fast gelation time under extremely high-temperature conditions, which often causes...

10.1016/j.petsci.2022.05.017 article EN cc-by-nc-nd Petroleum Science 2022-06-04

Soil substrate plays a central role in the vegetation restoration of high and steep slopes, especially semi-arid regions. This study aims to develop an optimal soil that can provide favorable environment for growth rocky slopes areas. Within framework planting hole greening technology, we developed synthetic comprising base soil, peat, water-retaining agglomerating agents, biochar, controlled-release compound fertilizer. We conducted pot experiments assess impact additions on properties...

10.3390/land13030287 article EN cc-by Land 2024-02-26

A novel compact printed dipole antenna for wireless local area networks (WLAN) applications is presented. The proposed consists of two radiating patches and four L-shaped slots etched on the patches, which can produce dual bands. Employing a unique tapered structure, good wide impedance matching be implemented without an external circuit, then bandwidths in working bands could achieved conveniently. yields bandwidth 2.2–2.85 4.64–7.54 GHz with return loss less than −10 dB. In addition, has...

10.1049/el.2011.0104 article EN Electronics Letters 2011-03-15

A series of Ca<sub>3</sub>La<sub>3(1−x)</sub>Eu<sub>3x</sub>(BO<sub>3</sub>)<sub>5</sub> (CLBO:3<italic>x</italic>Eu<sup>3+</sup>) phosphors were prepared by the Pechini-type sol–gel technique.

10.1039/c4ta05723f article EN Journal of Materials Chemistry A 2015-01-01

Measuring similarity is essential for classifying, clustering, retrieving, and matching linear features in geospatial data. However, the complexity of challenges formalization characteristics determination weight each characteristic measurements. Additionally, traditional methods have limited adaptability to variety features. To address these challenges, this study proposes a metric learning model that learns metrics directly from The model's ability learn allows no pre-determined supports...

10.1080/13658816.2022.2143505 article EN International Journal of Geographical Information Science 2022-11-11

Performance of triple GEM prototypes in strong magnetic field has been evaluated by means a muon beam at the H4 line SPS test area CERN. Data have reconstructed and analyzed offline with two reconstruction methods: charge centroid micro-Time-Projection-Chamber exploiting time measurement respectively. Depending on combination particle incident angle filed, there's always one algorithms achieving spatial resolution 100–120 μm.

10.1088/1748-0221/14/08/p08018 article EN Journal of Instrumentation 2019-08-19

A quasi-coherent mode (QCM) was measured by the tangential CO2 laser collective scattering diagnostic at high plasma electron density during both enhanced Dα/small edge-localized (ELM) and ELM-free H phases in Experimental Advanced Superconducting Tokamak (EAST). results from only local oscillator prove that QCM is far-forward mode. The driven fluctuation (k⊥&amp;lt;3 cm−1) magnetic suggest an electromagnetic typical frequency of f ≈ 26.5 kHz. combination analysis signals Mirnov suggests has...

10.1063/1.5049209 article EN Physics of Plasmas 2019-01-01

When detecting abnormalities in colonoscopic images, the location, shape and size of abnormal regions image are unknown vary across images. It is difficult to determine appropriate patch-size for patch-based approach. So multi-size patches used simultaneously represent an ensemble constructed which each classifier handles one patch size. The combination classifiers trained using multiple-size can recognize more effectively than only single-size patches. classification be performed a...

10.1109/cvpr.2005.201 article EN 2005-07-27
Coming Soon ...