Results 51 to 60 of about 4,791,934 (244)
HD-SDNet: A Forest Fire Smoke Detection Model Based on Hierarchical Deformable Transformer
Forest fires pose a serious threat to human life and property, making accurate and rapid detection of forest fire smoke crucial for fire prevention. Traditional convolutional neural network (CNN)-based smoke detection methods rely heavily on manually ...
Yinfang Wu, Xuanbo Xu, Xinwei Hong
doaj +1 more source
An Environmentally Aware Scheme of Wireless Sensor Networks for Forest Fire Monitoring and Detection
Forest fires are a fatal threat to environmental degradation. Wireless sensor networks (WSNs) are regarded as a promising candidate for forest fire monitoring and detection since they enable real-time monitoring and early detection of fire threats in an ...
Yi-Han Xu, Qiu-Ya Sun, Yu-Tong Xiao
doaj +1 more source
Fire–weather relationship in the Italian peninsula [PDF]
Climate and weather are two of the main key factors influencing fire regime and they have a number of different effects on fire. The objective of this work is to improve our knowledge of the relationship between meteorological variables and forest fire ...
Sirca, Costantino +3 more
core +1 more source
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source
Multi‐Scale Bionic Structure Constructs Biomass Flame‐Retardant Thermal Insulation Foam Material
Inspired by mussel adhesion and hierarchical brick‐and‐mortar architectures, a cellulose‐based biomimetic foam is constructed by anchoring bentonite nanosheets onto a polydopamine‐decorated cellulose nanofiber network. The resulting foam combines low thermal conductivity with intrinsic flame retardancy and full biodegradability, presenting a ...
Jianming Liao +10 more
wiley +1 more source
Adaptive Early Wildfire Monitoring Based on Spatiotemporal Prediction and Himawari 8/9
The rapid advancement of deep learning (DL) technology significantly enhances early forest fire detection methods. However, traditional approaches often rely on fixed thresholds and supervised learning techniques, which may fail to account for the ...
Zekun Xu +5 more
doaj +1 more source
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley +1 more source
Forest fires pose severe challenges to forest management because of their unpredictability, extensive harm, broad impact, and rescue complexities. Early smoke detection is pivotal for prompt intervention and damage mitigation.
Huanyu Yang, Jun Wang, Jiacun Wang
doaj +1 more source
Software fires detection and extinction for forest.
This article shows the most usual fire detection and forest extinction application technologies at present. We will see all different methods used by these applications that can be found in the Market and some examples. Also, some basic questions about the most influent parameters when a fire must be extinct are shown.
Utande González de la Higuera, Nuria +1 more
openaire +3 more sources
Video Based Flame Detection Using Spatio-Temporal Features and SVM Classification [PDF]
Video-based surveillance systems can be used for early fire detection and localization in order to minimize the damage and casualties caused by wildfires.
Tsalakanidou, Filareti +2 more
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