In the ever-changing world of bioinformatics, this study dives into finding the connections between our gut, metabolomic data, and heart diseases. Data was gathered from 20 different study cohort groups, and 14 clinical ...

Ensuring that COVID-19 data adheres to the principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) is critical for effective research and analysis. In this project, we systematically verify these ...

Serverless computing has emerged as a tranformative field in the cloud computing world. It is being increasingly adopted in the industry due to the energy and cost savings associated with it. However, communications withing ...

The project focuses on enhancing the energy efficiency of Nvidia GPUs, crucial for graphics, AI, and high-performance computing. The rising demand for GPUs has led to increased energy consumption, necessitating optimization ...

Memory or RAM of a device contains a lot of data.This work focuses on how to ensure security of our critical data like our passwords or encryption keys stored in the memory which if become public can pose a big security ...

We benchmark various Speech-to-Text (STT) and Text-to-Speech (TTS) models and performed an extensive literature review on downstream tasks such as Automatic Speech Recognition (ASR), Speech Emotion Recognition, Speaker ...

Severe Mental Illness is one of the rising cause of concerns throughout the world. In India, the family members of an individual suffering from SMI (like bipolar disorder, Schizophrenia, etc.) play a significant role in ...

To investigate the effcacy of Information Sharing Schemes in Decentralized Multi-Agent Systems. We mainly focused on a Multi-Agent framework for Multi-Task Learning and then moved to Information sharing with Experience-based ...

In this research, we attempt to create a state-of-the-art model for the classification of the PTBXL dataset and improve upon already established metrics. Firstly, we use the previous best model, ST-CNN-GAP-5 and introduce ...