Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small ...

In the contemporary multilingual landscape of online communication, the emergence of codemixed language, the seamless integration of multiple languages within a single utterance, has become increasingly prevalent. The ...

This project aims to design and develop a local citation recommendation system. The system is designed to assist users in recommending accurate and relevant citations for their scientific research papers. It can save time ...

In the ever-changing world of bioinformatics, this study dives into finding the connections between our gut, metabolomic data, and heart diseases. Data was gathered from 20 different study cohort groups, and 14 clinical ...

Medical image segmentation is a pivotal technique in modern medical imaging, essential for enhancing diagnosis accuracy and patient care. This study explores the application of four advanced deep learning models - DermoSegDiff, ...

Breast cancer is a complex and heterogeneous disease with varying clinical outcomes and treatment responses among different subtypes. Accurate classification of breast cancer subtypes is crucial for personalized treatment ...

Despite significant improvements, smartphones are still constrained by the limited capacity of their batteries. Modern smartphones tend to use organic light-emitting diode (OLED) displays, whose energy consumption depends ...

Recently, there has been an increase in the frequency of crimes and accidents, posing a growing challenge for humans to report these incidents to the relevant authorities promptly. It is nearly impossible for humans to ...

This project focused on the deployment of a deep learning model for species categorization and retraining on the cloud using the YOLOv5x architecture. The goal was to create a web application that allows users to upload ...