The aim of this work was focused on data collection and annotation for Aspect-Based Academic Review Analysis. The goal is to understand the sentiments expressed in course feedback regarding different aspects of a course. ...

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 ...

Deep Neural Networks (DNNs) have achieved remarkable success across various machine learning and computer vision tasks, especially when abundant training samples are available. In Convolutional Neural Network (CNN) research, ...

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 ...

• Implementation of a prototype of a delivery robot using ROS (Robot Operating System) framework that autonomously maps unknown territories and can navigate to a provided destination. • Algorithms like Hector SLAM and ...