Abstract
Ongoing development in nanotechnology and bioinformatics will enable the construction of nanorobot which will work at nano-scale. Nanorobot development has many challenges and limitations such as its control and behaviour in different environments. In this proposed work we present DNA nanorobot design, methodology for detection of Helicobacter pylori (H. Pylori) infection and DNA nanorobot control techniques for its movement in dynamic environment are described using Fuzzy Logic (FL) rules. Propose model will detect the CagA protein in blood and subsequently indicates towards H. pylori infection.
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Paul, S., Singh, A.K., Sahoo, G. (2009). Peptic Ulcer Detection Using DNA Nanorobot Based on Fuzzy Logic Rules. In: Sakai, H., Chakraborty, M.K., Hassanien, A.E., Ślęzak, D., Zhu, W. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2009. Lecture Notes in Computer Science(), vol 5908. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10646-0_35
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DOI: https://doi.org/10.1007/978-3-642-10646-0_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10645-3
Online ISBN: 978-3-642-10646-0
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