convolutional neural networks (CNNs)

Microphone Identification Using Convolutional Neural Networks

The ability to identify mobile phones through their built-in components has been demonstrated in the literature for
various types of sensors including charge coupled devices (CCD)/complementary metal–oxide semiconductors (CMOS),
accelerometers, magnetometers, and microphones. The identification is performed by exploiting small but significant
differences in the electronic circuits generated during the manufacturing process. Thus, these distinctive traces become

Cancer diagnosis using deep learning: A bibliographic review

In this paper, we first describe the basics of the field of cancer diagnosis, which includes steps of cancer diagnosis followed by the typical classification methods used by doctors, providing a historical idea of cancer classification techniques to the readers. These methods include Asymmetry, Border, Color and Diameter (ABCD) method, seven-point detection method, Menzies method, and pattern analysis. They are used regularly by doctors for cancer diagnosis, although they are not considered very efficient for obtaining better performance.

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