This project aims to develop computational pipelines to cluster genomes based on the similarity in their functional signatures and to identify functionally redundant genome clusters. This initiative has built an extensive ...

In response to the escalating demand for the generation of novel and diverse cooking recipes, this research in Natural Language Processing introduces a new tool—Ratatouille. The tool utilizes various Deep Learning models, ...

This B.Tech project, titled ”Entrepreneurship: Gastronomy and Creativity,” focuses on designing and implementing entrepreneurship projects in the domains of Computational Gastronomy and Creativity. The project involves the ...

Numerous policies have been implemented without thorough impact analysis. We focus on evaluating the effectiveness of reservation in uplifting the Scheduled Castes (SC) and Scheduled Tribes (ST) communities. In this study, ...

Intensive Care Units (ICUs) collect vast amounts of data, including patient vitals which are often recorded as time series data. This data can be analysed to extract meaningful data, which can aid in timely intervention, ...

Physical dissection has long been a teaching practice valued for its hands-on and exploratory nature, enabling students to engage directly with anatomical structures. However, to prevent biodiversity disruption and maintain ...

This report addresses the problem of online metric matching. In this scenario, a group of servers is situated within a metric space, and requests continuously arrive over time in an unpredictable manner. The objective is ...

Unsupervised domain adaptation (UDA) has emerged as a vital research area in the field of machine learning and computer vision. It addresses the challenge of adapting models trained on a labeled source domain to perform ...

The field of bioinformatics is dynamically evolving, facing challenges with the escalating quantity of genomic data. An emerging challenge involves the rapid expansion of Escherichia coli genomes, demanding efficient yet ...

The exponential growth of machine and deep learning applications across diverse domains has led to the proliferation of machine and deep learning libraries. As these libraries offer various algorithms, tools, and ...