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Detecting mixed-critical events through computer vision is challenging due to the need for contextual understanding to assess event criticality accurately. Mixed critical events, such as fires of varying severity or traffic incidents,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-03 Filza Akhlaq , Alina Arshad , Muhammad Yehya Hayati , Jawwad A. Shamsi , Muhammad Burhan Khan

In the context of global sustainability, buildings are significant consumers of energy, emphasizing the necessity for innovative strategies to enhance efficiency and reduce environmental impact. This research leverages extensive raw data…

Machine Learning · Computer Science 2024-03-22 Hamed Khosravi , Hadi Sahebi , Rahim khanizad , Imtiaz Ahmed

Wildfires are among the most severe natural hazards, posing a significant threat to both humans and natural ecosystems. The growing risk of wildfires increases the demand for forecasting models that are not only accurate but also reliable.…

Machine Learning · Computer Science 2025-09-30 Spyros Kondylatos , Gustau Camps-Valls , Ioannis Papoutsis

Fire outbreaks pose critical threats to human life and infrastructure, necessitating high-fidelity early-warning systems that detect combustion precursors such as smoke. However, smoke plumes exhibit complex spatiotemporal dynamics…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Nitish Kumar Mahala , Muzammil Khan , Pushpendra Kumar

Energy consumption in buildings, both residential and commercial, accounts for approximately 40% of all energy usage in the U.S., and similar numbers are being reported from countries around the world. This significant amount of energy is…

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…

Machine Learning · Computer Science 2020-11-26 Tristan Ballard , Gopal Erinjippurath

Modern societies can be understood as the intersection of four interdependent systems: (1) the natural environment of geography, climate and weather; (2) the built environment of cities, engineered systems, and physical infrastructure; (3)…

Computers and Society · Computer Science 2017-05-08 Michael Dunaway , Robin Murphy , Nalini Venkatasubramanian , Leysia Palen , Daniel Lopresti

Among the different kinds of fire accidents that can occur during industrial activities that involve hazardous materials, jet fires are one of the lesser-known types. This is because they are often involved in a process that generates a…

Recent advances in multi-modal models have demonstrated strong performance in tasks such as image generation and reasoning. However, applying these models to the fire domain remains challenging due to the lack of publicly available datasets…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Zixuan Liu , Siavash H. Khajavi , Guangkai Jiang

Understanding current energy consumption behavior in communities is critical for informing future energy use decisions and enabling efficient energy management. Urban energy models, which are used to simulate these energy use patterns,…

Computational Engineering, Finance, and Science · Computer Science 2026-04-03 Saumya Sinha , Alexandre Cortiella , Rawad El Kontar , Andrew Glaws , Ryan King , Patrick Emami

Buildings play a crucial role in human well-being, influencing occupant comfort, health, and safety. Additionally, they contribute significantly to global energy consumption, accounting for one-third of total energy usage, and carbon…

Machine Learning · Computer Science 2024-06-19 Arian Prabowo , Xiachong Lin , Imran Razzak , Hao Xue , Emily W. Yap , Matthew Amos , Flora D. Salim

Fire is characterized by its sudden onset and destructive power, making early fire detection crucial for ensuring human safety and protecting property. With the advancement of deep learning, the application of computer vision in fire…

Computer Vision and Pattern Recognition · Computer Science 2025-02-17 Ziqi Zhang , Xiuzhuang Zhou , Xiangyang Gong

Owing to the growing population density of urban areas, many people are being increasingly exposed to criminal activity. Increasing crime rates raise the risk of both physical and psychological injury to law-abiding citizens, creating…

Social and Information Networks · Computer Science 2022-07-27 Juyoung Kim , Jinhyuk Yun

This research article presents a methodical data-based approach to systematically identify key factors in safety-related failure scenarios, with a focus on complex product-environmental systems in the era of Industry 4.0. The study…

Software Engineering · Computer Science 2024-02-29 Tim Maurice Julitz , Nadine Schlüter , Manuel Löwer

Forest fires pose a significant threat to the environment, human life, and property. Early detection and response are crucial to mitigating the impact of these disasters. However, traditional forest fire detection methods are often hindered…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Hari Prabhat Gupta , Rahul Mishra

As wildfires in the United States are becoming more frequent and severe, mitigating wildfire ignition risk from power line faults is an increasingly crucial effort. Long-term ignition prevention strategies, especially converting overhead…

Systems and Control · Electrical Eng. & Systems 2022-04-29 Sofia Taylor , Line A. Roald

The growing homelessness crisis in the U.S. presents complex social, economic, and public health challenges, straining shelters, healthcare, and social services while limiting effective interventions. Traditional assessment methods struggle…

Computers and Society · Computer Science 2025-03-24 Julia Gersey , Rose Allegrette , Joshua Lian , Zawad Munshi , Aarti Phatke

Climate change has largely impacted our daily lives. As one of its consequences, we are experiencing more wildfires. In the year 2020, wildfires burned a record number of 8,888,297 acres in the US. To awaken people's attention to climate…

Machine Learning · Computer Science 2021-06-23 Yang Li , Hermawan Mulyono , Ying Chen , Zhiyin Lu , Desmond Chan

With climate change expected to exacerbate fire weather conditions, the accurate anticipation of wildfires on a global scale becomes increasingly crucial for disaster mitigation. In this study, we utilize SeasFire, a comprehensive global…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Dimitrios Michail , Lefki-Ioanna Panagiotou , Charalampos Davalas , Ioannis Prapas , Spyros Kondylatos , Nikolaos Ioannis Bountos , Ioannis Papoutsis

Wildfires can severely damage electricity grids leading to long periods of power interruption. Climate change will exacerbate this threat by increasing the frequency of dry climate conditions. Under these climate conditions, human-related…

Optimization and Control · Mathematics 2023-06-13 Alexandre Moreira , Felipe Pianco , Bruno Fanzeres , Alexandre Street , Ruiwei Jiang , Chaoyue Zhao , Miguel Heleno