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

Deep learning-based fire detection models are usually trained offline on static datasets. For
continuously increasing heterogeneous sensor data, incremental learning is a resolution to …

This study proposes a low-cost and reliable smart fire alarm system that utilizes ultraviolet
(UV) detection technology with an aspherical lens to detect fires emitting photons in the 185 …

Fire chemical sensing for indoor detection of fire plays an essential role because it can
detect chemical volatiles before smoke particles, providing a faster and more reliable …

深度学习的发展推动了高精度遥感图像智能解译模型的涌现. 然而, 目前遥感智能解译模型大多
基于预先定义的静态数据集独立训练, 难以适应环境开放和需求动态的实际应用 …

The early warning of fires is pivotal for preventing substantial economic losses and
ecological damage. However, the enhancement of fire model generalization performance …

Fast and highly accurate fire detection algorithms are crucial for production and daily life.
However, detecting fires in the early stages is challenging due to the lack of distinct features …

The significant advancement of deep learning has facilitated the emergence of high-
precision interpretation models for remote-sensing images. However, a notable drawback is …

Early-stage fire and smoke detection through visual analysis is crucial for industrial safety
and hazard prevention. However, detecting fire and smoke in factories using surveillance …

This paper introduces FSD-YOLOv8, an advanced YOLOv8 algorithm specifically adapted
for the precise detection of flames and smoke in various complex environments. By …