Fake news is a big concern since it spreads widely over social media and other media
channels, creating significant social and national damage with devastating consequences …

Recognition of human activity is an active research area. It uses the Internet of Things,
Sensory methods, Machine Learning, and Deep Learning techniques to assist various …

A hearing-impaired person is never simple to con-verse with. The study presented in this
paper is a reflection of the efforts undertaken to investigate the difficulties with character …

Depression is the mental health condition that affects many people around the world. In
order to find and treat depression and other mental health conditions, it is important to find …

In this proposed work, UAV Thermal Imagery technology, which was employed by earlier
researchers, to detect the Real-Time Victims, was taken. Due to their great durability, low …

This abstract describes about a system that uses Unmanned Aerial Vehicles (UAV) with high
resolution cameras and deep learning algorithms to detect insects in agriculture. This device …

The rapid increase in the utilization of social media for news browsing is attributed to its
capacity, affordability, improved attractiveness, and accessibility, leading to the …

The abstract for the research paper on" Machine Learning for 5G Security using Random
Forest" discusses the importance of 5G security in the current digital age and the role of …

Highlight extraction from high-goal satellite pictures holds enormous potential in different
fields like ecological observing, metropolitan preparation, and asset the executives. This …

The rapid growth of artificial intelligence (AI) is poised to reshape industries and societal
aspects, driven by its ability to simulate human intelligence and perform tasks requiring …