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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/power-poles-503935_1920_0.jpg?itok=Rlop0WTN)
Electromagnetic reflections can alter the RF signal strength at the receiving node. This
alteration could result in the enhancement of the received signal. The work is primarily based upon passive
reflecting walls and their effect on the received signal strength under various operating conditions. The
work could further be utilized for energy harvesting purposes for the mobile phone charging applications.
The operational frequency range in this research is from 469:5MHz to 773:5MHz. The results show
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This dataset is a collection of images and their respective labels containing multiple Indian coins of different denominations and their variations. The dataset only contains images of one side of each coin (Tail side) which contains the denomination value.
The samples were collected with the help of a mobile phone while the coins were placed on top of a white sheet of A4-sized paper.
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The dataset consists of two classes: COVID-19 cases and Healthy cases
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An offline handwritten signature dataset from two most popular scripts in India namely Roman and Devanagari is proposed here.
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Lung segmentation is essential in developing AI-assisted diagnosis methods. Here is the result of lung segmentation using morphological operation, and it has been used in our study. It contains 7053 CT slices in .jpg format. And the original dataset can be seen via the Kaggle link https://www.kaggle.com/hgunraj/covidxct
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