Abstract Android malware poses a significant threat to mobile device security, necessitating robust and efficient detection systems. This project focuses on developing a multiclass classification frame- work for detecting ...

This project focuses on developing a robust Named Entity Recognition (NER) system tailored for recipe ingredient phrases, a critical task in computational gastronomy. The proposed ap- proach employs transformer-based models ...

Over the course of the semester we worked on VertexVQA4k, a comprehensive multimodal dataset designed for secondary-level geometry education, drawing from Indian curricula. The dataset, containing approximately 4,000 ...

A large amount of public data is being generated, but the lack of standard formats and field names makes it hard to combine and use data efficiently. This lack of standardization limits the ability to analyze and apply ...

Ensuring fairness in machine learning systems has become increasingly crucial as these models are deployed in socially consequential domains such as lending, hiring, and criminal justice. A significant challenge in fairness ...

Air Quality Index (AQI) forecasting is essential for public health and environmental policy. While accurate, traditional numerical weather prediction (NWP) models demand vast computational resources. Recent trends have ...

Large Language Models (LLMs) have rapidly advanced their ability to answer questions and perform complex reasoning tasks. However, they often generate factual inaccuracies and hallucinations because they lack access or ...

This thesis explores advanced techniques in the field of audio spoofing detection. With the emergence of high-quality deepfake generation techniques and the vulnerabilities in automatic speaker verification (ASV) systems, ...

The increasing demand for live online classes, especially in remote and underserved areas, underscores the importance of providing a seamless and high-quality experience to support effective learning. These real-time, ...

Tables are the most common form of structured data found in documents. Proper interpretation of such raw tabular data by computer systems remains an open challenge. We take a deep dive into document intelligence - which ...