A photon’s interaction with a semiconductor material can generate an exciton. If the photon is trapped in a microcavity, the exciton can strongly couple with the photon, resulting in a hybrid bosonic state called an ...

Creating software that supports the similarities and facilities offered by Cad tools for semiconductors, photoelectric cells, and other devices Primarily, making a cost effective software that could give similar results ...

Radio Frequency Identification(RFID) has been gaining popularity recently over barcodes for a wide range of applications like inventory control, supply chain management, manufacturing,etc. With the increasing popularity ...

With the term coined in 1985, Internet of Things (IoT) has been an idea that was always on the minds of researchers, but not quite there yet in implementation. However, with the heavy penetration of the Internet in the ...

The primary objective of this research project was to conduct a comprehensive analysis of stateof- the-art algorithms designed for the calculation of Collision Probability between satellites and other space objects, ...

This report analyzes the performance of a Cooperative Device to Device Communication in a Heterogeneous Cellular Network. In the proposed work, a heterogeneous network is considered where the base station of the macro cell ...

Mediated Reality refers to the ability to add and subtract information from the environment or manipulate one's perception of reality using smart-wearable devices, hand-held devices or computers. Mediated Reality can be ...

The COVID-19 crisis has made it clear that even for developed economies, like the USA, severe nancial disruptions can drag down the whole economy. It is considered the worst nancial crisis since the Great Depression. As ...

In today’s world, Machine learning and deep learning has changed the vision in CS/IT fields. It is continuously exciting us in different ways, giving us amazing results and solving many problems in different fields. With ...

Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...