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This proposed work may give a useful suggestion on the design of novel liquid crystal material in THz wave.
This proposed work can be applied for impact damage detection and quantitative evaluation in CFRP, which can be further used in life-cycle assessment and condition based maintenance.
To optimize the number of multiplication operations, the existing Karatsuba divide and conquer approach for multiplication is used in this proposed work.
This proposed work is about a trainable neural chip using Field Programmable Gate Array (FPGA) as this helps in learning capability by exploiting the inherent parallelism of neural network.
Therefore in this proposed work the main focus is to design the algorithm based on level set segmentation, wavelets filters and artificial neural network (ANN) architecture for detection of Cholesterol in real time using biomedical images with the help of MATLAB with maximum accuracy of 98.8%.
The accuracy obtained from this proposed work was 98%.
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In this work, the proposed work is evaluated by the 2010 Haiti Earthquake and Typhoon Haiyan 2013 Philippines for detection of collapsed buildings.
Therefore, the proposed work in this manuscript can be applied in aforementioned applications.
This comparison shows that the proposed work produces good results for noisy images also.
In this section, we discuss our proposed work in detail.
This proposed configuration works as a node in the contaminant distributed wireless sensor monitoring network.
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