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Report of Fire Research Institute of Japan,
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Wright, M. T.; Gottuk, D. T.; Wong, J. T.; Rose-Pehrsson, S. L.; Hart, S. J.; Williams, F. W.; Tatem, P. A.; Street, T. T.
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Prototype Early Warning Fire Detection System: Test Series 1 Results. Interim.
Naval Research Laboratory, Washington, DC; Hughes Associates, Inc., Baltimore, MD
Office of Naval Research, Arlington, VA,
NRL/MR/6110-00-8486,
September 18, 2000,
76 p.
Gottuk, D.; Rose-Pehrsson, S.; Shaffer, R.; Williams, F.
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Early Warning Fire Detection via Probabilistic Neural Networks and Multi-Sensor Arrays.
Hughes Associates, Inc., Baltimore, MD; Naval Research Laboratory, Washington, DC
Research and Practice: Bridging the Gap. Fire Suppression and Detection Research Application Symposium. Proceedings. Fire Protection Research Foundation. February 23-25, 2000,
Orlando, FL,
365-369 p.,
2000
Xia, J.; Xiao, C.; Wang, J.; Huang, C.
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Application of Artificial Neural Network (ANN) Technique to Formulation Design of Flame. Part 1. Intumescent Flame Retardant PA-66 Composites.
Beijing Institute of Technology, China
Journal of Fire Sciences,
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3-17,
January/February 2001
Al-Khaleefi, A. M.; Terro, M. J.; Alex, A. P.; Wang, Y.
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Prediction of Fire Resistance of Concrete Filled Tubular Steel Columns Using Neural Networks.
Kuwait Univ., Safat; Engineering Systems Group, Safat, Kuwait; Manchester Univ., UK
Fire Safety Journal,
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June 2002
Chen, P. O.; Chang, L. M.
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Performance of Artificial Intelligence Approach on Bridge Coating Assessment.
Nanyang Technological Univ., Singapore; Purdue Univ., West Lafayette, IN
NIST SP 989,
September 2002,
International Symposium on Automation and Robotics in Construction, 19th (ISARC). Proceedings. National Institute of Standards and Technology, Gaithersburg, Maryland. September 23-25, 2002,
331-336 p.,
2002
Kim, H.; Haas, C. T.; Rauch, A. F.
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Artificial Intelligence Based Quality Control of Aggregate Production.
University of Texas, Austin
NIST SP 989,
September 2002,
International Symposium on Automation and Robotics in Construction, 19th (ISARC). Proceedings. National Institute of Standards and Technology, Gaithersburg, Maryland. September 23-25, 2002,
369-374 p.,
2002
Sbarbaro, D.; Farias, O.; Zawadsky, A.
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Real-Time Monitoring and Characterization of Flames by Principal-Component Analysis. Brief Communication.
Universidad de Concepcion, Casilla 160-C, Concepcion, Chile
Combustion and Flame,
Vol. 132,
No. 3,
591-595,
February 2003
Jones, W. W.
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Algorithm for Fast and Reliable Fire Detection.
National Institute of Standards and Technology, Gaithersburg, MD
Fire Suppression and Detection Research Application, 8th Annual Symposium. Society of Fire Protection Engineers. Proceedings. January 21-23, 2004,
Orlando, FL,
1-3 p.,
2004
Lee, E. W. M.; Yuen, R. K. K.; Lo, S. M.; Lam, K. C.; Yeoh, G. H.
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Novel Artificial Neural Network Fire Model for Prediction of Thermal Interface Location in Single Compartment Fire.
City University of Hong Kong, People's Republic of China; Australian Nuclear Science and Technology Organisation, PMB 1, Menai NSW 2234, Australia
Fire Safety Journal,
Vol. 39,
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67-87,
February 2004