Image segmentation is a branch of digital image processing which has numerous
applications in the field of analysis of images, augmented reality, machine vision, and many …

Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

The world has seen an increase in the number of wildland fires in recent years due to
various factors. Experts warn that the number of wildland fires will continue to increase in the …

Skin cancer is a senior public health issue that could profit from computer-aided diagnosis to
decrease the encumbrance of this widespread disease. Researchers have been more …

In this paper, we address the problem of forest fires' early detection and segmentation in
order to predict their spread and help with fire fighting. Techniques based on Convolutional …

Among various calamities, conflagrations stand out as one of the most-prevalent and-
menacing adversities, posing significant perils to public safety and societal progress …

Fire accidents continually threaten lives and property, posing a great risk to public safety.
Therefore, timely, accurate fire smoke and flame detection technology provides a technical …

In recent years, frequent forest fires have plagued countries all over the world, causing
serious economic damage and human casualties. Faster and more accurate detection of …

Forest fires often have a devastating effect on the planet's ecology. Accurate and rapid
monitoring of forest fires has therefore become a major focus of current research …

This article describes an AI-based solution to multiclass fire segmentation. The flame
contours are divided into red, yellow, and orange areas. This separation is necessary to …