Results 81 to 90 of about 4,939,742 (208)

Vog: Using Volcanic Eruptions to Estimate the Health Costs of Particulates

The Economic Journal, EarlyView., 2018
The negative consequences of long‐term exposure to particulate pollution are well established but a number of studies find no effect of short‐term exposure on health outcomes. The high correlation of industrial pollutants complicates the estimation of the impact of individual pollutants on health.
Timothy J. Halliday, John Lynham, Áureo de Paula   +2 more
wiley   +1 more source

Deep Learning-Based Forest Fire Risk Research on Monitoring and Early Warning Algorithms

Fire
With the development of image processing technology and video analysis technology, forest fire monitoring technology based on video recognition is more and more important in the field of forest fire prevention and control.
Dongfang Shang, Fan Zhang, Diping Yuan, Le Hong, Haoze Zheng, Fenghao Yang   +5 more
doaj   +1 more source

Polyaniline as a dual flame retardant and electrostatic dissipative additive in polyethylene nanocomposites

Journal of Vinyl and Additive Technology, Volume 31, Issue 2, Page 339-355, March 2025.
Effecft of co‐doping polyaniline with phosphoric acid and phytic acid on the heat release rate of polyethylene. Abstract Polyolefins, such as polyethylene (PE), are highly flammable and electrically insulative, limiting their applicability. The study explored the flame‐retardancy and electrical conductivity of PE/polyaniline (PE/PANI) nanocomposites ...
Akeem Adisa, Joseph K. O. Asante, Vincent O. Ojijo, António B. Mapossa, Washington Mhike   +4 more
wiley   +1 more source

FSNet: Enhancing Forest-Fire and Smoke Detection with an Advanced UAV-Based Network

Forest fires represent a significant menace to both the ecological equilibrium of forests and the safety of human life and property. Upon ignition, fires frequently generate billowing smoke.
Zhongmin Qian, Dongyang Wu, Donghua Wu, Junling Wang   +3 more
core   +1 more source

EDIF: boosting unsupervised cross-domain forest fire smoke detection with enhanced domain-invariant features

Geomatics, Natural Hazards & Risk
In forest fire smoke detection tasks, variations in data distribution caused by deployment environments, acquisition devices, and smoke characteristics, along with the scarcity of fire incidents, make it difficult for models to generalize across all ...
Peixian Jin, Xuhong Feng, Pengle Cheng, Mingyu Wang, Xiaodong Liu, Ying Huang   +5 more
doaj   +1 more source

Investigation of the Evolution Mechanism and Multiphysics Coupling in Tree‐Contact Single‐Phase‐to‐Ground Fault

High Voltage, EarlyView.
ABSTRACT Tree‐contact single‐phase‐to‐ground fault (TSF) is a common and hazardous type of failure in distribution networks. TSF is likely to occur when overhead conductors contact moist tree branches, potentially leading to insulation breakdown, posing serious threats to grid safety.
Wenjun Ning, Zuopeng Li, Mingxian Liu, Jianbo He, Tianxiang Chen, Shenli Jia   +5 more
wiley   +1 more source

A Semantic Segmentation Method for Early Forest Fire Smoke Based on Concentration Weighting

, 2021
Forest fire smoke detection based on deep learning has been widely studied. Labeling the smoke image is a necessity when building datasets of target detection and semantic segmentation.
Change Zheng, Zewei Wang, Ye Tian, Jiyan Yin, Wenbin Cui   +4 more
core   +1 more source

Deep Learning Approach for Wildland Fire Recognition Using RGB and Thermal Infrared Aerial Image

Fire
Wildfires cause severe consequences, including property loss, threats to human life, damage to natural resources, biodiversity, and economic impacts. Consequently, numerous wildland fire detection systems were developed over the years to identify fires ...
Rafik Ghali, Moulay A. Akhloufi
doaj   +1 more source

A Review and Prospect of Appearance Defect Detection Methods for High Voltage Equipment Based on Vision Large Models

High Voltage, EarlyView.
ABSTRACT High voltage equipment, as a core component of power systems, plays an indispensable role in ensuring the reliability of power supply through its safe and stable operation. Traditional visual defect detection for high voltage equipment, however, often relies on manual inspection and experience‐based judgement, which struggles to meet the ...
Zhenbing Zhao, Shuo Feng, Teng Ma, Chenkang Tang, Wenlong Liao, Yixuan Huang, Yongjie Zhai, Wenqing Zhao   +7 more
wiley   +1 more source

An Attention Enhanced Bidirectional LSTM for Early Forest Fire Smoke Recognition

IEEE Access, 2019
Detecting forest fire smoke during the initial stages is vital for preventing forest fire events. Recent studies have shown that exploring spatial and temporal features of the image sequence is important for this task.
Yichao Cao, Feng Yang, Qingfei Tang, Xiaobo Lu   +3 more
doaj   +1 more source