In the modern educational landscape, technological tools play a crucial role in improving learning experiences, addressing individual needs, and facilitating effective teaching practices. The problem at hand revolves around ...

We aim to develop a Text-to-Speech (TTS) system for code-mixed corpora, addressing the unique challenges posed by multilingual and mixed-language text. To establish a robust foundation, we first reviewed TTS literature ...

Long non-coding RNAs (lncRNAs) are key regulators of gene expression, and their stability, commonly quantified as half-life, plays a critical role in cellular function. Recent computational efforts have attempted to predict ...

Abstract This study compares the biases in human cognition and those exhibited by large language mod- els (LLMs) compared using the same assessment instrument. The research evaluates biases across eight key parameters—gender, ...

With the rapid development and advance in the field of Speech Synthesis technology, differentiation of genuine and fake audios has become increasingly challenging. This semester the project focuses on benchmarking the voice ...

Alpha-1 Antitrypsin Deficiency (AATD) is a hereditary disorder primarily affecting the lungs and liver, often resulting in early-onset chronic obstructive pulmonary disease (COPD) due to the unchecked activity of Neutrophil ...

Accurately predicting drug efficacy remains a significant challenge in the drug discovery process. One of the key pharmacological metrics used to assess the potency of a compound is the half-maximal inhibitory concentration ...

There has been an increasing demand to train ML models, particularly large language models (LLMs), on multiple GPUs to ensure reduced training time and costs. However, making the correct training configuration choice (for ...

Modern commercial sensing and communication systems that support high mobility primarily operate in the sub-6 GHz frequency band. While robust, this limits achievable data rates to tens of Mbps and leads to latencies ...

This thesis explores the design of efficient algorithms for determining the twin-width of a graph from a parameterized complexity perspective. Twin-width is a graph parameter that gives a decomposition of the graph in the ...