Adhesion Testing System Based on Convolutional Neural Networks for Quality Inspection of Flexible Strain Sensors-Reference-Cited by-同舟云学术

Adhesion Testing System Based on Convolutional Neural Networks for Quality Inspection of Flexible Strain Sensors

Published:2024-07 Issue:7 Volume:20 Page:9235-9243
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Isaac Medina Ignacio¹^ORCID,Arana Gabriel²^ORCID,Castillo Atoche Andrea Cecilia³^ORCID,Estrada López Johan Jair⁴^ORCID,Vázquez Castillo Javier⁵^ORCID,Avilés Francis²^ORCID,Castillo Atoche Alejandro Arturo¹^ORCID

Affiliation:

1. Mechatronics Department, Autonomous University of Yucatan, Mérida, Mexico

2. Materials Department, Centro de Investigación Científica de Yucatán, Mérida, Mexico

3. Chemistry and Biochemistry Department, Tecnológico Nacional de México/Campus Mérida, Mérida, Mexico

4. Faculty of Mathematics, Autonomous University of Yucatan, Mérida, Mexico

5. Department of Informatics and Networking, Universidad Autónoma del Estado de Quintana Roo, Chetumal, Mexico

Funder

CONAHCYT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10582275/10499719.pdf?arnumber=10499719

Reference36 articles.

1. Wearable Flexible Sensors: A Review

2. A new strategy for the fabrication of a flexible and highly sensitive capacitive pressure sensor

3. Recent advances in flexible force sensors and their applications: a review

4. A Flexible Piezoresistive/Self-Capacitive Hybrid Force and Proximity Sensor to Interface Collaborative Robots

5. Development of a Highly Flexible Lattice-Structure-Based Force Sensing Mechanism

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