Automatic real-time fire distance, size and power measurement driven by stereo camera and deep learning

Z Wang, Y Ding, T Zhang, X Huang - Fire Safety Journal, 2023 - Elsevier
Automatic real-time fire characterization is a crucial requirement of future smart firefighting.
This work proposes a novel computer vision method to automatically measure the fire heat …

Real-time detection and forecast of flashovers by the visual room fire features using deep convolutional neural networks

MH Mozaffari, Y Li, Y Ko - Journal of Building Engineering, 2023 - Elsevier
Flashover occurs in building fires whereby all the combustible materials in an enclosure
begin to ignite rapidly. This detrimental phenomenon occurs because of the intense heat …

Review of structural fire hazards, challenges, and prevention strategies

C Zhang - Fire, 2023 - mdpi.com
Reducing the occurrence of structural fires is the common goal of all countries. However, the
development level of different countries determines the degree of perfection of local fire …

Machine learning driven smart fire safety design of false ceiling and emergency response

AA Khan, T Zhang, X Huang, A Usmani - Process Safety and …, 2023 - Elsevier
In modern buildings, false ceilings are widely used for building services systems and
aesthetic purposes, but they also pose challenges in terms of fire safety. A fire accident …

Machine learning-driven real-time identification of large-space building fires and forecast of temperature development

W Ji, GQ Li, S Zhu, J Li, H Qi, Y Wang - Expert Systems with Applications, 2024 - Elsevier
In firefighting, real-time knowledge of fire dynamics is crucial yet often unavailable. The
building geometry and measured gas temperatures are integrated to ascertain fire states …

Prediction of flashover time in a compartment fire by CNN-LSTM based deep neural network considering wearable data collection equipment

X Lu, M He, Z Wang, H Hu, J Ji, J Zhu - Journal of Building Engineering, 2024 - Elsevier
Real-time prediction of flashover in a compartment fire is of great significance for rescue.
This paper investigated a CNN-LSTM neural network to predict the flashover based on the …

Smart fire detection analysis in complex building floorplans powered by GAN

Y Zeng, Y Li, P Du, X Huang - Journal of Building Engineering, 2023 - Elsevier
Ceiling-mounted fire service systems are the most widely used provisions to ensure building
fire safety. Current design distribution of fire detectors is based on semi-empirical …

AI-powered fire engineering design and smoke flow analysis for complex-shaped buildings

Y Zeng, Z Zheng, T Zhang, X Huang… - … of Computational Design …, 2024 - academic.oup.com
This paper aims to automatize the performance-based design of fire engineering and the fire
risk assessment of buildings with large open spaces and complex shapes. We first establish …

Tendencies and Challenges of Artificial Intelligence Development and Implementation

Y Kondratenko, A Shevchenko… - 2023 IEEE 12th …, 2023 - ieeexplore.ieee.org
This paper discusses the problems and challenges of artificial intelligence (AI)
implementation at the modern computer science and information technology development …

NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling

K Wang, H Wu, Y Duan, G Zhang, K Wang… - The Twelfth …, 2024 - openreview.net
Spatio-temporal (ST) prediction plays a pivotal role in earth sciences, such as
meteorological prediction, urban computing. Adequate high-quality data, coupled with deep …