Fires in smart cities can have devastating consequences, causing damage to property, and
endangering the lives of citizens. Traditional fire detection methods have limitations in terms …

Fire detection is a critical safety issue due to the major and irreversible consequences of fire,
from economic prejudices to loss of life. It is therefore of utmost importance to design …

Fire accidents are life-threatening catastrophes leading to losses of life, financial damage,
climate change, and ecological destruction. Promptly and efficiently detecting and …

Fires, regardless of their origin being natural events or human-induced, provide substantial
economic and environmental hazards. Therefore, the development of efficient fire detection …

In this critical brief review, we explore the pivotal role of computer vision in wildfire detection,
following the PRISMA methodology and focusing on 35 key studies published between …

This study presents a novel methodology for classifying automotive parts by implementing
the Transfer Learning technique, utilizing the InceptionV3 architecture. We use a proprietary …

As smart cities expand rapidly, the demand for strong fire protection has become even more
essential. A significant challenge lies in ensuring that fire detection systems integrate …

Destructive elements like fire quickly affect us with detrimental effects and to prevent their
devastating damages, some preventive measures need to be taken immediately. As a large …

While fire breaks out in a warehouse, it blows out and cause damage to property as well as
life. It is important for the companies to take their fire safety seriously in warehouses. Efficient …

In recent years, Closed-circuit Television (CCTV) cameras have been playing a vital role in
the surveillance of both public and private areas. The primary objective of surveillance is to …