With improvements in the area of Internet of Things (IoT), surveillance systems have recently
become more accessible. At the same time, optimizing the energy requirements of smart …

Forest fires have become a major threat around the world, causing many negative impacts
on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are …

Forest fires pose a potential threat to the ecological and environmental systems and natural
resources, impacting human lives. However, automated surveillance system for early forest …

Tactile Internet can combine multiple technologies by enabling intelligence via mobile edge
computing and data transmission over a 5G network. Recently, several convolutional neural …

The recent advances in embedded processing have enabled the vision based systems to
detect fire during surveillance using convolutional neural networks (CNNs). However, such …

To prevent economic, social, and ecological damage, fire detection and management at an
early stage are significant yet challenging. Although computationally complex networks have …

Convolutional neural networks (CNNs) have achieved the most advanced performance in
visual object detection and semantic segmentation tasks, so that the application of CNNs in …

Forests are a vital natural resource that directly influences the ecosystem. Recently, forest
fire has been a serious issue due to natural and man-made climate effects. For early forest …

Fire is an abnormal event which can cause significant damage to lives and property. In this
paper, we propose a deep learning-based fire detection method using a video sequence …

Deep learning-based forest fire vision monitoring methods have developed rapidly and are
becoming mainstream. The existing methods, however, are based on enormous amounts of …