In the realm of critical care medicine, the continuous generation of vital signs time series data from Intensive Care Units (ICUs) serves as a pivotal element for clinicians in evaluating patient prognostics and accessing ...

Advancement in the field of metagenomic research have highlighted the role of microbiomes can play ecologically and clinically contexts. So, our proposed platform will provide metagenomic researchers with a friendly user ...

Recognizing subtle and implied forms of hate speech is convoluted. Fine-tuning pre-trained language models (PLMs) to generate an explanation for an incoming implicit statement has become an active area of research. Moreover, ...

Generating unit tests is a crucial undertaking in software development, demanding substantial time and e↵ort from programmers. The advent of Large Language Models (LLMs) introduces a novel avenue for unit test script ...

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

This study seeks to forecast microbial colonization in the human gut and oral microbiomes by examining various factors, including diet, host genetics, and environmental influences. Through the utilization of sophisticated ...

The project introduces the development and evaluation of machine learning models incorporating both unsupervised learning clustering and supervised learning classification and regression techniques. These models aim to ...

In recent year, due to the advancement in online social networks, possibility of spreading misinformation increases. Online Social Networks earlier seem to be safer path for sharing information and strengthen the community, ...

Abusive content detection in the spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing. However, ASR models introduce latency and often ...

Deep learning involves training machines to understand patterns, classify objects, and predict outcomes. This has led to the emergence of various fields, including computer vision, natural language processing, speech ...