Vision sensors-based fire detection is an interesting and useful research domain with
significant alleviated attention from computer vision experts. The baseline research is based …

Worldwide, fire disasters cause social, economic, and environmental damage, so their early
detection and instant response is crucial for saving lives and property, which is possible via …

Fire detection employing vision sensors has drawn significant attention within the computer
vision community, primarily due to its practicality and utility. Previous research …

Recently, object detection methods using deep learning have made significant progress in
terms of accuracy and speed. However, the requirements of a system to provide real-time …

The current investigation addresses the pressing need to integrate orphan or underutilized
crops into mainstream agriculture, focusing on Perilla (Perilla frutescens L.) due to its …

Fire is one of the most dangerous types of accidents that can occur and may cause huge
harm to people's lives and threaten an environment resources by very fast spreading, which …

Over the past two decades, there has been a surge of interest in the study of image quality
assessment due to its broad applicability in many fields. Satellites and other remote sensing …

The proficient realization of a distinct neuron is needed for on a broad scale, software
defined recognition of an artificial neural network (ANN). The majority of reconfigurable …