FireDOC Search

displaying 41 - 50 results in total 63

  • 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

  • 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, No. 1, 67-87, February 2004

  • Slanvetpan, T.; Barat, R. B.
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    Control of Nitric Oxide Emissions From a Laboratory Combustor Using Artificial Neural Networks.
    New Jersey Institute of Technology, Newark
    Combustion Science and Technology, Vol. 175, No. 10, 1761-1782, October 2004

  • 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

  • Chew, M. Y. L.; Tan, S. S.
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    Neural Network Approach for Grading of Maintainability of Wet Areas in High-Rise Buildings.
    National University of Singapore, Singapore
    International Journal on Architectural Science, Vol. 4, No. 4, 150-167, 2003

  • Rose-Pehrsson, S. L.; Hart, S. J.; Street, T. T.; Williams, F. W.; Hammond, M. H.; Gottuk, D. T.; Wright, M. T.; Wong, J. T.
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    Early Warning Fire Detection System Using a Probabilistic Neural Network.
    Naval Research Laboratory, Washington, DC; Hughes Associates, Inc., Baltimore, MD
    Fire Technology, Vol. 39, No. 2, 147-171, 2003

  • Casagrande, D.; Kayhan, F.; Semeshenko, V. V.; Zambon, C.
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    Smooth Neural Approximator for Multi-Criteria Fire Detection.
    International Conference on Automatic Fire Detection "AUBE '04", 13th Proceedings. University of Duisburg. [Internationale Konferenz uber Automatischen Brandentdeckung.] September 14-16, 2004, Duisburg, Germany, Luck, H.; Laws, P.; Willms, I., Editors, 206-215 p., 2004

  • Ono, T.; Ishii, H.; Kawamura, K.; Miura, H.; Momma, E.; Fujisawa, T.; Hozumi, J. I.
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    Application of Neural Network to Analyses of CCD Color TV-Camera Image for the Detection of Car Fire in Expressway Tunnel.
    Nihon Univ., Tokyo, Japan; Koito Industries, Ltd., Japan
    International Conference on Automatic Fire Detection "AUBE '04", 13th Proceedings. University of Duisburg. [Internationale Konferenz uber Automatischen Brandentdeckung.] September 14-16, 2004, Duisburg, Germany, Luck, H.; Laws, P.; Willms, I., Editors, 345-354 p., 2004

  • Derbel, F.
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    Performance Improvement of Fire Detectors by Means of Gas Sensors and Neural Networks.
    University of the Bundeswehr Munich, Werner-Heisenberg-Weg 39, Neubiberg bei München 85779, Germany
    Fire Safety Journal, Vol. 39, No. 5, 383-398, July 2004

  • Casciati, F.; Faravelli, L.
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    Causal Probabilistic Networks With Learning: A Diagnosis Decisional Tool.
    Chapter 5,
    Computer Applications in Fire Protection Engineering. Volume 3. Chapter 5. Applied Fire Science in Transition Series, Baywood Publishing Co. Inc., Amityville, NY, DeCicco, P. R., Editors, 67-88 p., 2002