Smart Detection of Fire Source in Tunnel Based on the Numerical Database and Artificial Intelligence
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Smart Detection of Fire Source in Tunnel Based on the Numerical Database and Artificial Intelligence
Authors
Keywords
-
Journal
FIRE TECHNOLOGY
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-04-29
DOI
10.1007/s10694-020-00985-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Science Mapping of Tunnel Fires: A Scientometric Analysis-Based Study
- (2020) Jie Li et al. FIRE TECHNOLOGY
- Feed-forward Neural Networks and Recurrent Neural Networks for Locating the Leak Point of Chemicals in Outdoor Plant: A Combination of Deep-learning and CFD simulation
- (2019) Hyunseung Kim et al. COMPUTERS & CHEMICAL ENGINEERING
- Convolutional Recurrent Neural Network-Based Event Detection in Tunnels Using Multiple Microphones
- (2019) Nam Kyun Kim et al. SENSORS
- Direct Prediction of the Toxic Gas Diffusion Rule in a Real Environment Based on LSTM
- (2019) Fei Qian et al. International Journal of Environmental Research and Public Health
- CFD simulation of “pumping” flow mechanism of an urban building affected by an upstream building in high Reynolds flows
- (2019) Huai-Yu Zhong et al. ENERGY AND BUILDINGS
- Street canyon ventilation and airborne pollutant dispersion: 2-D versus 3-D CFD simulations
- (2019) Shuo-Jun Mei et al. Sustainable Cities and Society
- Deployment and integration of smart sensors with IoT devices detecting fire disasters in huge forest environment
- (2019) Fengmei Cui COMPUTER COMMUNICATIONS
- Convolutional Neural Networks Based Fire Detection in Surveillance Videos
- (2018) Khan Muhammad et al. IEEE Access
- Overview of research on fire safety in underground road and railway tunnels
- (2018) Ying Zhen Li et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Reducing the computational requirements for simulating tunnel fires by combining multiscale modelling and multiple processor calculation
- (2017) Izabella Vermesi et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- LSTM: A Search Space Odyssey
- (2017) Klaus Greff et al. IEEE Transactions on Neural Networks and Learning Systems
- Video fire detection – Review
- (2013) A. Enis Çetin et al. DIGITAL SIGNAL PROCESSING
- A study of bifurcation flow of fire smoke in tunnel with longitudinal ventilation
- (2013) Wei Zhong et al. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
- On a linear fire detection using coaxial cables
- (2013) Radoje Jevtic et al. Thermal Science
- Investigation on the Performance of Fire Detection Systems for Tunnel Applications––Part 2: Full-Scale Experiments Under Longitudinal Airflow Conditions
- (2010) Z. G. Liu et al. FIRE TECHNOLOGY
- Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms
- (2010) Jan Adamowski et al. JOURNAL OF HYDROLOGIC ENGINEERING
- FireGrid: An e-infrastructure for next-generation emergency response support
- (2010) Liangxiu Han et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Flame and smoke detection method for early real-time detection of a tunnel fire
- (2009) Dongil Han et al. FIRE SAFETY JOURNAL
- Automatic fire detection in road traffic tunnels
- (2008) T.T. Aralt et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now