The vision of some particular applications such as robot-guided remote surgery where the
image of a patient body will need to be captured by the smart visual sensor and to be sent …

Compressive sensing is one of teh cost effective solution towards performing compression of
heavier form of signals. We reviewed the existing research contribution towards …

The mortality rate among women is increasing progressively due to cancer. Generally,
women around 45 years old are vulnerable from this disease. Early detection is hope for …

Usage of compressive sensing plays a highly contributory role in compression, storage, and
transmission in medical images even in presence of inherent complexities associated with …

The compressed sensing is a mathematical approach of reconstructing a signal that is
acquired from the dimensionally reduced data coefficients/less number of samples, ie, less …

Compressive sensing (CS) is a technique that is very popular nowadays for compression
and reconstruction. This technique is too efficient than the traditional methods for data …

An artificial neural network (ANN) is used to resolve problems related to complex scenarios
and logical thinking. Nowadays, a cause for concern is the mortality rate among women due …

The medical data science has been changing from conventional analog to more powerful
digital imaging systems for some time. These imagining systems produced images in digital …

The contribution of several compression algorithms plays a significant role in minimizing the
size of multiple radiological images from last decade. However, a closer look into existing …

Compression of the Wireless Sensor Network (WSN) images are always challenging, as we
need to maintain the quality of the reconstructed images with restricted resources and the …