4 papers
Time Series Foundational Models: Their Role in Anomaly Detection and Prediction
Chathurangi Shyalika, Harleen Kaur Bagga, Ahan Bhatt +3
Time series foundational models (TSFM) have gained prominence in time series forecasting, promising state-of-the-art performance across various applications. However, their applica…
Generating Knowledge Graphs from Large Language Models: A Comparative Study of GPT-4, LLaMA 2, and BERT
Ahan Bhatt, Nandan Vaghela, Kush Dudhia
Knowledge Graphs (KGs) are essential for the functionality of GraphRAGs, a form of Retrieval-Augmented Generative Systems (RAGs) that excel in tasks requiring structured reasoning…
Med-Bot: An AI-Powered Assistant to Provide Accurate and Reliable Medical Information
Ahan Bhatt, Nandan Vaghela
This paper introduces Med-Bot, an AI-powered chatbot designed to provide users with accurate and reliable medical information. Utilizing advanced libraries and frameworks such as P…
Leveraging LSTM for Predictive Modeling of Satellite Clock Bias
Ahan Bhatt, Ishaan Mehta, Pravin Patidar
Satellite clock bias prediction plays a crucial role in enhancing the accuracy of satellite navigation systems. In this paper, we propose an approach utilizing Long Short-Term Memo…