With rising global temperatures, wildfires frequently occur worldwide during the summer
season. The timely detection of these fires, based on unmanned aerial vehicle (UAV) …

Quantum computing is one of the most enticing computational paradigms with the potential
to revolutionize diverse areas of future-generation computational systems. While quantum …

In addition to being a crucial part of ecosystem health, wildfires also pose a grave threat to
human lives and the environment. Early detection remains challenging, especially in remote …

Wildfires are a natural disaster that results in significant harm and catastrophic destruction.
Forest areas tend to be more prone to the devastating effects of wildfires. Global warming …

Compared with other facial expression recognition, classroom facial expression recognition
should pay more attention to the feature extraction of a specific region to reflect the attention …

Wildfires rank among the most prevalent natural disasters globally and have emerged as a
significant factor in climate change over the past decade. Early detection of wildfires and …

This study presents a deep learning model created for enabling comprehensive wildfire
control by seamlessly combining satellite images, weather data and terrain details. Current …

The quantum computing community has been searching for suitable applications to
demonstrate the potential of near-term quantum devices. Quantum machine learning is a …

Semantic segmentation is an important task in computer vision applications like autonomous
driving, remote sensing, and medical image processing. Recently deep convolutional neural …