stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
- Ergin, S. and Gu ̈lmezog ̌lu, M.B.(2007),"Face recognition based on face partitions using Common Vector Approach", Communications, Control and Signal Processing, ISCCSP 2008. 3rd International Symposium on, pp. 624-628.
- Jing, X. Y., Yao, Y. F., et al.(2008) "A novel face recognition approach based on kernel discriminative common vectors (KDCV) feature extraction and RBF neural network", Neurocomputing Vol.71, no. 13, pp. 3044-3048.
- Sadıç, S. and Gu ̈lmezog ̌lu, M.B.(2011), " Common vector approach and its combination with GMM for text-independent speaker recognition", Expert Systems with Applications Vol.38, no.9, pp. 11394-11400
- Ting, H. N., Yong, B. F., and Seyed M. M.(2013) " Self-adjustable neural network for speech recognition." Engineering Applications of Artificial Intelligence ,Vol.26, no 9, pp. 2022-2027.
- Gu ̈lmezog ̌lu, M. B., Dzhafarov, V. and Barkana, A.(2001),"The Common Vector Approach and Its Relation to Principal Component Analysis", IEEE Trans. On Speech and Audio Processing, Vol. 9, no. 6, pp. 655-662.
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