Hybrid clouds have gained popularity in recent years due to their ability to run applications across the on-premises data-center/edge and public clouds. The presence of edge cloud has significantly decreased latency and ...

The Indian government introduced the National Digital Health Mission (NDHM) with the aim of enhancing healthcare accessibility through the digitization and streamlining of patient data. Our proposal involves the development ...

This project focuses on the annotation and clustering of functional gene classes in microbiome genomes. Microbiomes, complex communities of microorganisms, play vital roles in various biological processes. Understanding ...

This research addresses the challenge of network inference in large-scale, sparse datasets. Inspired by the Gini coefficient, we introduce a novel methodology leveraging machine learning, including the GENIE3 algorithm and ...

Neural networks have emerged as a powerful tool in machine learning and deep learning, showcasing remarkable capabilities in image recognition, natural language processing, and autonomous decision-making tasks. However, ...

In the realm of chiplet-based computing, the advent of Network-on-Chip (NoC) technology has brought forth remarkable opportunities to harness the potential of on-chip wireless communication. This report embarks on a ...

Empowering remote users to navigate expansive environments through a robot surrogate presents a significant challenge, especially when constrained by limited physical space. Our project aims to enable individuals within ...

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, ...

In the evolving realm of robotics research and education, the amalgamation of Simulink, Gazebo, and ROS has birthed a dynamic multi-robot simulation environment. This project’s primary objective is to provide an immersive ...

Modeling directly raw waveforms through neural networks for speech processing is gaining more and more attention. Despite its varied success, a question that remains is: what kind of information are such neural networks ...