Facile alignment estimation in carbon nanotube films using image processing-Reference-Cited by-同舟云学术

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Facile alignment estimation in carbon nanotube films using image processing

Published:2023-01 Issue: Volume:202 Page:108751
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Imtiaz Tamjid^ORCID,Doumani Jacques^ORCID,Tay Fuyang^ORCID,Komatsu Natsumi^ORCID,Marcon Stephen,Nakamura Motonori,Ghosh Saunab,Baydin Andrey^ORCID,Kono Junichiro,Zubair Ahmed^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference37 articles.

1. Carbon Nanotubes: Advanced Topics in the Synthesis, Structure, Properties and Applications;Jorio,2008

2. Carbon nanotube fiber terahertz polarizer;Zubair;Appl. Phys. Lett.,2016

3. Carbon nanotube woven textile photodetector;Zubair;Phys. Rev. Mater.s,2018

4. Pulsed black-body emitter based on current-driven carbon nanotube fibers;Zubair,2019

5. Carbon nanotube terahertz detector;He;Nano Lett.,2014

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting the mechanical properties of pristine and defective carbon nanotubes using a random forest model;Nanoscale Advances;2024

2. CAugment: An Approach to Diversifying Dataset by Combining Image Processing Operations;Information Technology and Control;2023-12-22

3. MCnet: Multiscale visible image and infrared image fusion network;Signal Processing;2023-07

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