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The damage and the impact of natural disasters are becoming more destructive with the increase of urbanization. Today's metropolitan cities are not sufficiently prepared for the pre and post-disaster situations. Digital Twin technology can…

人工智能 · 计算机科学 2021-04-01 Özgür Dogan , Oguzhan Sahin , Enis Karaarslan

Current wildfire management systems lack integrated virtual environments that combine historical data with immersive digital representations, hindering deep analysis and effective decision making. This paper introduces FIRETWIN, a…

UAVs are playing an increasingly important role in the field of wilderness rescue by virtue of their flexibility. This paper proposes a fusion of UAV vision technology and satellite image analysis technology for active wildfires detection…

人工智能 · 计算机科学 2023-12-07 Chang Liu , Tamas Sziranyi

Wildfires are growing in frequency and intensity, devastating ecosystems and communities while causing billions of dollars in suppression costs and economic damage annually in the U.S. Traditional wildfire management is mostly reactive,…

机器学习 · 计算机科学 2026-01-21 Shaurya Mathur , Shreyas Bellary Manjunath , Nitin Kulkarni , Alina Vereshchaka

Wildfires increasingly threaten human life, ecosystems, and infrastructure, with events like the 2025 Palisades and Eaton fires in Los Angeles County underscoring the urgent need for more advanced prediction frameworks. Existing…

人工智能 · 计算机科学 2025-08-05 Haowen Xu , Sisi Zlatanova , Ruiyu Liang , Ismet Canbulat

Wildfires pose a serious threat to the environment of the world. The global wildfire season length has increased by 19% and severe wildfires have besieged nations around the world. Every year, forests are burned by wildfires, causing vast…

人工智能 · 计算机科学 2023-12-13 Prisha Shroff

The escalating frequency and severity of disasters routinely overwhelm traditional response capabilities, exposing critical vulnerability in disaster management. Current practices are hindered by fragmented data streams, siloed…

多智能体系统 · 计算机科学 2025-10-22 Bo Li , Junwei Ma , Kai Yin , Yiming Xiao , Chia-Wei Hsu , Ali Mostafavi

Wildfires have emerged as one of the most destructive natural disasters worldwide, causing catastrophic losses in both human lives and forest wildlife. Recently, the use of Artificial Intelligence (AI) in wildfires, propelled by the…

Creating a Digital Twin (DT) for Healthcare Intelligent Transportation Systems (HITS) is a hot research trend focusing on enhancing HITS management, particularly in emergencies where ambulance vehicles must arrive at the crash scene on time…

机器学习 · 计算机科学 2025-02-06 Sarah Al-Shareeda , Yasar Celik , Bilge Bilgili , Ahmed Al-Dubai , Berk Canberk

In recent years, unmanned aerial vehicles (UAVs) have played an increasingly crucial role in supporting disaster emergency response efforts by analyzing aerial images. While current deep-learning models focus on improving accuracy, they…

计算机视觉与模式识别 · 计算机科学 2024-09-04 Lemeng Zhao , Junjie Hu , Jianchao Bi , Yanbing Bai , Erick Mas , Shunichi Koshimura

Compounding climate hazards, such as wildfire-induced outages and urban heatwaves, challenge the stability and equity of cities. We present a Hazard-Responsive Digital Twin (H-RDT) that combines physics-informed neural network modeling,…

机器学习 · 计算机科学 2026-05-25 Zhenglai Shen , Hongyu Zhou

Climate change has resulted in a year over year increase in adverse weather and weather conditions which contribute to increasingly severe fire seasons. Without effective mitigation, these fires pose a threat to life, property, ecology,…

Over the past few years, wildfires have become a worldwide environmental emergency, resulting in substantial harm to natural habitats and playing a part in the acceleration of climate change. Wildfire management methods involve prevention,…

计算机与社会 · 计算机科学 2024-03-25 Stanley Chinedu Okoro , Alexander Lopez , Austine Unuriode

Over 8,024 wildfire incidents have been documented in 2024 alone, affecting thousands of fatalities and significant damage to infrastructure and ecosystems. Wildfires in the United States have inflicted devastating losses. Wildfires are…

计算机视觉与模式识别 · 计算机科学 2025-05-27 Lakshmi Aishwarya Malladi , Navarun Gupta , Ahmed El-Sayed , Xingguo Xiong

In recent years, increased wildfires have caused irreversible damage to forest resources worldwide, threatening wildlives and human living conditions. The lack of accurate frontline information in real-time can pose great risks to…

机器人学 · 计算机科学 2021-12-07 Tai Yang , Shumeng Zhang , Yong Wang , Jialei Liu

Due to climate change, the extreme wildfire has become one of the most dangerous natural hazards to human civilization. Even though, some wildfires may be initially caused by human activity, but the spread of wildfires is mainly determined…

机器学习 · 计算机科学 2025-03-13 Qijun Chen , Shaofan Li

Wildfire catastrophes cause significant environmental degradation, human losses, and financial damage. To mitigate these severe impacts, early fire detection and warning systems are crucial. Current systems rely primarily on fixed CCTV…

计算机视觉与模式识别 · 计算机科学 2025-03-03 Sabina Jangirova , Branislava Jankovic , Waseem Ullah , Latif U. Khan , Mohsen Guizani

Wildfires are a growing threat to ecosystems, human lives, and infrastructure, with their frequency and intensity rising due to climate change and human activities. Early detection is critical, yet satellite-based monitoring remains…

计算机视觉与模式识别 · 计算机科学 2026-05-04 Aydin Ayanzadeh , Prakhar Dixit , Sadia Kamal , Milton Halem

A Digital Twin (DT) framework to enhance carbon-based gas plume monitoring is critical for supporting timely and effective mitigation responses to environmental hazards such as industrial gas leaks, or wildfire outbreaks carrying large…

Wildfires represent a problem for ecosystems, human activities, and economies, driven by the climate crisis and land-use changes. Predicting wildfire propagation through mathematical modelling is essential for damage mitigation and risk…

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