Automatic real-time fire distance, size and power measurement driven by stereo camera and deep learning
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
implementation at the modern computer science and information technology development …
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
Spatio-temporal (ST) prediction plays a pivotal role in earth sciences, such as
meteorological prediction, urban computing. Adequate high-quality data, coupled with deep …
meteorological prediction, urban computing. Adequate high-quality data, coupled with deep …