Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Xiuxi Li"'
Publikováno v:
IEEE Access, Vol 8, Pp 124767-124782 (2020)
Automated character recognition is critical for reading and tracking data in a variety of fields. It is particularly challenging in industrial settings since information may be printed on the surface of various materials with complex and uneven shape
Externí odkaz:
https://doaj.org/article/bf550c9a263c4a8d809cceadf79ce1fe
Publikováno v:
IEEE Access, Vol 8, Pp 42285-42296 (2020)
Surface defect detection is a critical task in product quality assurance for manufacturing lines. The deep learning-based methods recently developed for defect detection are typically trained using a supervised learning strategy and large defect samp
Externí odkaz:
https://doaj.org/article/fb275f0309fd433884d5806afef825eb
Publikováno v:
IEEE Access, Vol 8, Pp 130205-130223 (2020)
Accurate localization is critical in the internet of things (IOT), especially for wireless sensor networks (WSNs). Location estimation can be affected by factors such as node density, topological diversity, and sensor coverage. As such, we propose a
Externí odkaz:
https://doaj.org/article/8e5d145bec964b0d94a7fa92bfb0b3ae
Publikováno v:
IEEE Access, Vol 7, Pp 102039-102053 (2019)
Many deep-learning character recognition methods have been developed over the past few years. Chinese characters are widely used in many countries; however, the deep-learning-based Chinese character recognition methods are faced with various problems
Externí odkaz:
https://doaj.org/article/b4be588aeacf42d6ae7ca4a4b03c50e5
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:1191-1204
Surface defects of explosive cartridge in the automatic sorting process are of a small area, irregular shape, and random distribution, and all problematic characteristics that hinder surface defect detection. To address these issues, a new multidefec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b994ebf334cff9cab9b939f1cfb41f7
https://doi.org/10.1109/tim.2019.2912237
https://doi.org/10.1109/tim.2019.2912237
Publikováno v:
IEEE Access. 8:124767-124782
Automated character recognition is critical for reading and tracking data in a variety of fields. It is particularly challenging in industrial settings since information may be printed on the surface of various materials with complex and uneven shape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::694edadd2edc0fa388df110e94368eb8
https://doi.org/10.1109/access.2020.3007487
https://doi.org/10.1109/access.2020.3007487
Publikováno v:
IEEE Access, Vol 8, Pp 42285-42296 (2020)
Surface defect detection is a critical task in product quality assurance for manufacturing lines. The deep learning-based methods recently developed for defect detection are typically trained using a supervised learning strategy and large defect samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b661f9af9ad08db5f4f040648cd86f8
https://doi.org/10.1109/access.2020.2977821
https://doi.org/10.1109/access.2020.2977821
Publikováno v:
IEEE Access, Vol 7, Pp 102039-102053 (2019)
Many deep-learning character recognition methods have been developed over the past few years. Chinese characters are widely used in many countries; however, the deep-learning-based Chinese character recognition methods are faced with various problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a1cd0315157661b59fa2e3e4f701eec
https://ieeexplore.ieee.org/document/8771222/
https://ieeexplore.ieee.org/document/8771222/
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 157:7-15
Polymeric micelles are a type of complex chemical product with multiple phases and components, and polymeric molecular structures are among the main factors influencing the micellar properties. In this study, based on block unit autocorrelation (BUA)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af83aa2154a4fdb6c4210c8c443093b4
https://doi.org/10.1016/j.chemolab.2016.06.011
https://doi.org/10.1016/j.chemolab.2016.06.011
Publikováno v:
Measurement. 87:255-273
This paper is a new study on developing a machine vision system for inspecting the conveying attitudes of columnar objects. The presented system consists of image pre-processing, feature extraction, and attitude diagnosis. First of all, in order to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c13951eafca4100ff180c107a6198a7b
https://doi.org/10.1016/j.measurement.2016.02.048
https://doi.org/10.1016/j.measurement.2016.02.048