Ying Liu

Orcid: 0009-0009-3054-3229

Affiliations:
  • Nanjing Forestry University, College of Mechanical and Electronic Engineering, Nanjing, China


According to our database1, Ying Liu authored at least 16 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Complete Coverage Path Planning Algorithm Based on Improved Biologically Inspired Neural Networks in Spray Painting.
IEEE Robotics Autom. Lett., June, 2025

2022
Super-Resolution Reconstruction of Speckle Images of Engineered Bamboo Based on an Attention-Dense Residual Network.
Sensors, 2022

2021
Online Color Classification System of Solid Wood Flooring Based on Characteristic Features.
Sensors, 2021

Detection Method for Bolted Connection Looseness at Small Angles of Timber Structures based on Deep Learning.
Sensors, 2021

Research on the Prediction of Green Plum Acidity Based on Improved XGBoost.
Sensors, 2021

A Sawn Timber Tree Species Recognition Method Based on AM-SPPResNet.
Sensors, 2021

2020
Defect Classification of Green Plums Based on Deep Learning.
Sensors, 2020

Detection System for U-Shaped Bellows Convolution Pitches Based on a Laser Line Scanner.
Sensors, 2020

A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine.
Sensors, 2020

Recognition and Grasping of Disorderly Stacked Wood Planks Using a Local Image Patch and Point Pair Feature Method.
Sensors, 2020

Detecting Defects on Solid Wood Panels Based on an Improved SSD Algorithm.
Sensors, 2020

Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions.
Knowl. Based Syst., 2020

Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score.
Complex., 2020

2019
A Multi-Stage Hybrid Fault Diagnosis Approach for Rolling Element Bearing Under Various Working Conditions.
IEEE Access, 2019

A Feature Selection Framework-Based Multiscale Morphological Analysis Algorithm for Fault Diagnosis of Rolling Element Bearing.
IEEE Access, 2019

A Fully Convolutional Neural Network for Wood Defect Location and Identification.
IEEE Access, 2019


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