Results 71 to 80 of about 4,939,742 (208)
Diverse sensing techniques have been developed and combined with machine learning method for forest fire detection, but none of them referred to identifying smoldering and flaming combustion phases.
Xiaofei Yan +5 more
doaj +1 more source
Leucaena Oil Functionalized With Osmium Tetroxide as a Precursor for Polyol‐Based Polyurethane
Leucaena leucocephala seed oil is converted into a hydroxyl‐functional biopolyol through OsO4‐mediated dihydroxylation. The resulting biopolyol shows a hydroxyl number of 160–175 mg KOH g−1 and is successfully used to produce flexible, open‐cell polyurethane foams, highlighting a renewable route for converting underutilized biomass into value‐added ...
Giovanni Miraveti Carriello +13 more
wiley +1 more source
Forest Fires and the Law:A Guide for National Drafters based on the Fire Management Voluntary Guidelines [PDF]
Fire management is the discipline of using fire to achieve land management and traditional use objectives, while safeguarding life, property, and resources such as forests and other vegetation in rural areas.
Morgera, Elisa, Cirelli, Maria Teresa
core
Hybrid Backbone-Based Deep Learning Model for Early Detection of Forest Fire Smoke
Accurate forest fire detection is critical for the timely intervention and mitigation of environmental disasters. It is very important to intervene in forest fires before major damage occurs by using smoke data.
Gökalp Çınarer
doaj +1 more source
A LightGBM‐based ensemble learning framework with SHAP interpretability analysis was developed for predicting ceiling temperature in canyon‐wind tunnel fires. The model demonstrated robust generalization (R2 = 0.7476) under unseen extreme conditions, with fire‐source location identified as the primary factor driving temperature evolution.
Qinqin Zhu +5 more
wiley +1 more source
Chitosan oligosaccharides, as the modifier, significantly enhances the crosslinking degree of piperazine pyrophosphate and melamine polyphosphate, enabling the composite coating to form the interpenetrating network integrating Si‐P‐C‐N during combustion.
YuPing Cao +4 more
wiley +1 more source
MTL-FSFDet: An Effective Forest Smoke and Fire Detection Model Based on Multi-Task Learning
Forest fires cause devastating damage to the natural environment, making prompt and precise detection of smoke and fires in forests crucial. When processing forest fire images based on ground and aerial perspectives, current object detection methods ...
Cong Chen +3 more
core +1 more source
Video Smoke Detection Method Based on Change-Cumulative Image and Fusion Deep Network
Smoke detection technology based on computer vision is a popular research direction in fire detection. This technology is widely used in outdoor fire detection fields (e.g., forest fire detection). Smoke detection is often based on features such as color,
Tong Liu +6 more
doaj +1 more source
We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang +5 more
wiley +1 more source
Impact of Environmental Microparticles on Insect Olfaction
ABSTRACT Terrestrial insects underpin key ecosystem services, including pollination, herbivory regulation, decomposition, nutrient cycling, and disease control. These functions depend on chemical communication that guides insects to food, mates, hosts, shelters, and oviposition sites while helping them avoid threats.
Steve B. S. Baleba +9 more
wiley +1 more source

