Currently, intelligent systems built on a multimodal basis are used to study the functional
state of living objects. Its essence lies in the fact that a decision is made through several …

Acquisition of fine-grained segments in semantic segmentation is important in most sementic
segmentation applications, especially for clothing images composed of fine-grained …

Nowadays, technologies deliver to humankind the ability to produce enough food for billions
of people over the world. Even though the world is producing a huge amount of crops to …

Healthcare Vehicular Cloud Computing (VCC) systems use heterogeneous network access
technologies to fulfill the requirements of medical services and enhance the health …

Now a days Magnetic Resonance Imaging (MRI) takes a major part in medical field. In
recent year's Alzheimer's Disease prediction performs important role in healthcare of …

In this phase, we utilize features extracted from a prior stage to classify uterine fibroids. We
employ a predefined dataset with feature values as our training set for a novel classifier …

The venture suggests an Adhoc technique of MRI brain image classification and image
segmentation tactic. It is a programmed structure for phase classification using learning …

Image segmentation is crucial in many computer vision systems. In pictures, a segmentation
technique is used to identify objects and their borders. The quality of image segmentation …

The resolution of this learning is to explore the client-provision supplier rapport in the
insurance production by means of artificial neural networks and linear regression. Data …

The numerous missing value computation approaches for yeast data have been suggested
in the literature. Throughout the past few years, investigators are keen on driving a lot of …