Design of an ultra-sensitive bimetallic anisotropic PCF SPR biosensor for liquid analytes sensing.

In this research work, an anisotropic photonic crystal fiber (PCF) biosensor working on a refractive index (RI) variation and based on surface plasmon resonance (SPR) is presented. Liquid analytes (LA) having a RI within the range of 1.340 to 1.

Modeling of texture quantification and image classification for change prediction due to COVID lockdown using Skysat and Planetscope imagery.

This research work models two methods together to provide maximum information about a study area. The quantification of image texture is performed using the "grey level co-occurrence matrix ( )" technique. Image classification-based "object-based change detection ( )" methods are used to visually represent the developed transformation in the study area.