Skin cancer cases have grown worldwide, and it is by far the most common of all cancers. It
is caused by the extended exposure to harmful radiations from the sun. Skin cancer can be …

One of the most exciting areas of signal processing is speech processing; speech contains
many features or characteristics that can discriminate the identity of the person. The human …

The incidence of skin cancer, one of the most rapidly growing and common malignancies,
has been rising at a faster pace worldwide. This cancer can be disfiguring or even deadly if …

Machine Learning techniques employed to predict classification of novel Skin Cancer
detection using Support Vector Machine in comparison with Artificial Neural Network …

Digital mammography is the most widely used diagnostic technique for detecting breast
cancer. Major challenge lies in developing an efficient image segmentation technique to …

Skin cancer has become the most common form of cancer and most well-known disease of
the human. Early identification of skin cancer is important for improving prognosis, as …

Automated recognizing a speaker from the speech signals is the foremost application in
forensics. Speaker recognition system involves two phases namely feature extraction and a …

Major challenge in speech processing is due to non-linearity and complexity in speech
signals. Characterizing this non-linear signals, affects the performance of the automated …

In biometrics, identification of an individual human being is based on the speech signal
generated by their speech production system. In this paper, a novel text independent …

Convolution coding is the most commonly used channel encoding technique for reliable
data transmission. At the receiver's end, Viterbi decoder is used for extracting the message …