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相关论文: Localized Forest Fire Risk Prediction: A Departmen…

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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,…

Wildfires are highly imbalanced natural hazards in both space and severity, making the prediction of extreme events particularly challenging. In this work, we introduce the first ordinal classification framework for forecasting wildfire…

机器学习 · 计算机科学 2026-05-26 Nicolas Caron , Christophe Guyeux , Hassan Noura , Benjamin Aynes

Artificial intelligence (AI) is paving the way towards the fourth industrial revolution with the fire domain (Fire 4.0). As a matter of fact, the next few years will be elemental to how this technology will shape our academia, practice, and…

机器学习 · 计算机科学 2022-02-15 M. Z. Naser

The size and frequency of wildland fires in the western United States have dramatically increased in recent years. On high-fire-risk days, a small fire ignition can rapidly grow and become out of control. Early detection of fire ignitions…

计算机视觉与模式识别 · 计算机科学 2022-05-17 Anshuman Dewangan , Yash Pande , Hans-Werner Braun , Frank Vernon , Ismael Perez , Ilkay Altintas , Garrison W. Cottrell , Mai H. Nguyen

Wildfires are becoming more frequent and their effects more devastating every day. Climate change has directly and indirectly affected the occurrence of these, as well as social phenomena have increased the vulnerability of people.…

计算机视觉与模式识别 · 计算机科学 2023-01-13 Eldan R. Daniel

Wildfires are one of the costliest and deadliest natural disasters in the US, causing damage to millions of hectares of forest resources and threatening the lives of people and animals. Of particular importance are risks to firefighters and…

计算机视觉与模式识别 · 计算机科学 2020-12-29 Alireza Shamsoshoara , Fatemeh Afghah , Abolfazl Razi , Liming Zheng , Peter Z Fulé , Erik Blasch

Firefighting is a complex, yet low automated task. To mitigate ergonomic and safety related risks on the human operators, robots could be deployed in a collaborative approach. To allow human-robot teams in firefighting, important basics are…

机器人学 · 计算机科学 2023-06-06 Nils Mandischer , Frederik Schicks , Burkhard Corves

Humans have been able to tackle biosphere complexities by acting as ecosystem engineers, profoundly changing the flows of matter, energy and information. This includes major innovations that allowed to reduce and control the impact of…

多智能体系统 · 计算机科学 2022-12-06 Martí Sánchez-Fibla , Clément Moulin-Frier , Ricard Solé

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

Reliable performance metrics are necessary prerequisites to building large-scale end-to-end integrated workflows for collaborative scientific research, particularly within context of use-inspired decision making platforms with many…

机器学习 · 计算机科学 2024-08-01 H. Ahmed , R. Shende , I. Perez , D. Crawl , S. Purawat , I. Altintas

Forests are crucial for ecological balance, but wildfires, a major cause of forest loss, pose significant risks. Fire weather indices, which assess wildfire risk and predict resource demands, are vital. With the rise of sensor networks in…

人工智能 · 计算机科学 2025-07-22 Ritesh Chandra , Shashi Shekhar Kumar , Rushil Patra , Sonali Agarwal

Wildfires are a disastrous phenomenon which cause damage to land, loss of property, air pollution, and even loss of human life. Due to the warmer and drier conditions created by climate change, more severe and uncontrollable wildfires are…

计算机视觉与模式识别 · 计算机科学 2022-11-04 Omkar Ranadive , Jisu Kim , Serin Lee , Youngseo Cha , Heechan Park , Minkook Cho , Young K. Hwang

The understanding and prediction of large wildland fire events around the world is a growing interdisciplinary research area advanced rapidly by development and use of computational models. Recent models bidirectionally couple computational…

大气与海洋物理 · 物理学 2020-07-06 J. L. Coen , W. Schroeder , S. Conway , L. Tarnay

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

As Artificial Intelligence (AI) is used in more applications, the need to consider and mitigate biases from the learned models has followed. Most works in developing fair learning algorithms focus on the offline setting. However, in many…

机器学习 · 计算机科学 2021-08-24 Wenbin Zhang , Albert Bifet , Xiangliang Zhang , Jeremy C. Weiss , Wolfgang Nejdl

With fires becoming increasingly frequent and severe across the globe in recent years, understanding climate change's role in fire behavior is critical for quantifying current and future fire risk. However, global climate models typically…

机器学习 · 计算机科学 2020-11-26 Tristan Ballard , Gopal Erinjippurath

We present a new four-pronged approach to build firefighter's situational awareness for the first time in the literature. We construct a series of deep learning frameworks built on top of one another to enhance the safety, efficiency, and…

计算机视觉与模式识别 · 计算机科学 2021-11-10 Manish Bhattarai

Wildfires are destructive and inflict massive, irreversible harm to victims' lives and natural resources. Researchers have proposed commissioning unmanned aerial vehicles (UAVs) to provide firefighters with real-time tracking information;…

机器人学 · 计算机科学 2019-03-19 Esmaeil Seraj , Andrew Silva , Matthew Gombolay

Fire disasters typically result in lot of loss to life and property. It is therefore imperative that precise, fast, and possibly portable solutions to detect fire be made readily available to the masses at reasonable prices. There have been…

计算机视觉与模式识别 · 计算机科学 2019-09-05 Arpit Jadon , Mohd. Omama , Akshay Varshney , Mohammad Samar Ansari , Rishabh Sharma

With the rise in high resolution remote sensing technologies there has been an explosion in the amount of data available for forest monitoring, and an accompanying growth in artificial intelligence applications to automatically derive…