Dan Wang

Orcid: 0000-0002-9713-2610

Affiliations:
  • Tianjin University, School of Electrical Engineering and Automation, Tianjin Key Laboratory of Process Measurement and Control, Tianjin, China
  • Wenzhou Vocational and Technical College, China


According to our database1, Dan Wang authored at least 9 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Design element extraction of plantar pressure imaging employing meta-learning-based graphic convolutional neural networks.
Appl. Soft Comput., 2024

2023
Infrared imaging segmentation employing an explainable deep neural network.
Turkish J. Electr. Eng. Comput. Sci., October, 2023

Plantar pressure image classification employing residual-network model-based conditional generative adversarial networks: a comparison of normal, planus, and talipes equinovarus feet.
Soft Comput., February, 2023

2022
Design Elements Extraction from Point-Cloud Dataset Using Deep Enhancement Learning.
Proceedings of the Design Studies and Intelligence Engineering, 2022

2021
Deep Self-Organizing Map Neural Networks for Plantar Pressure Image Segmentation Employing Marr-Hildreth Features.
Int. J. Ambient Comput. Intell., 2021

2020
Morphological Segmentation of Plantar Pressure Images by Using Mean Shift Local De-Dimensionality.
Information Technology and Intelligent Transportation Systems, 2020

2018
Image feature-based affective retrieval employing improved parameter and structure identification of adaptive neuro-fuzzy inference system.
Neural Comput. Appl., 2018

2017
Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features extraction.
Neural Comput. Appl., 2017

Case-Based Reasoning for Product Style Construction and Fuzzy Analytic Hierarchy Process Evaluation Modeling Using Consumers Linguistic Variables.
IEEE Access, 2017


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