Vijayan K. Asari

Gaussian Nonlinear Line Attractor for Learning Multidimensional Data

2015

The human brain's ability to extract information from multidimensional data modeled by the Nonlinear Line Attractor (NLA), where nodes are connected by polynomial weight sets. Neuron connections in this architecture assumes complete connectivity with all …

Brain machine interface for useful human interaction via extreme learning machine and state machine design

2017

The idea of brain machine interface (BMI) is to provide a source of interaction between a person and a machine via thought. Three major parts to an effective BMI are determined and handled in this …

PColorNet: investigating the impact of different color spaces for pathological image classification

2020

In the field of computer vision and medical imaging, the classification is one of the common approaches apply to solve different problems. There are several Deep Learning (DL) models have been proposed in the last …