Every year, over 1.3 lakh individuals commit suicide in India, posing a significant challenge
to the country's healthcare system. Bridge-related suicides present unique difficulties, as it …

This abstract explores the application of urban object detection using UAV imagery for
healthcare purposes in smart cities. Leveraging the Internet of Things (IoT), the proposed …

Explainable artificial intelligence (XAI) is a set of techniques and procedures that makes it
possible for individuals to comprehend and trust the results generated by machine learning …

Skin cancer is a prevalent and potentially fatal disease. Early detection is important for
successful treatment. Traditional methods face challenges in identifying skin cancer regions …

To aid the visually impaired in leading more autonomous lives, this paper is being
considered. Nowadays, technology plays a significant role in meeting everyone's …

The semantic gap between visual data and natural language understanding poses a
challenge for generating descriptive captions for images. This paper introduces a hybrid …

This project centers on the development of a predictive model for forecasting students'
academic performance using three regression algorithms: Linear Regression, Decision Tree …

Sign language is a critical form of communication for people who are deaf or hard of
hearing, but it presents challenges to those who are not familiar with it. Sign language …

In order to arrive at an accurate estimate of the average human life expectancy, one must
consider several factors including heredity, environmental influences, lifestyle choices, and …

Object detection in medical imaging is a challenging task due to the inherent variability and
complexity of medical images. Medical objects can exhibit significant viewpoint variation …