CrossRef Text and Data Mining
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Revision of the Input Parameters for the Prediction Models of Smoke Detectors Based on the FDS
Jang Hyo-Yeon, Hwang Cheol-Hong
Fire Sci. Eng.. 2017;31(2):44-51.   Published online April 30, 2017

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Methodology for DB construction of input parameters in FDS-based prediction models of smoke detector
Journal of Mechanical Science and Technology. 2020;34(12):5327-5337   Crossref logo
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Assessment of SVM, empirical and ANN based solar radiation prediction models with most influencing input parameters
Renewable Energy. 2018;121:324-343   Crossref logo
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Comparison of FDS Prediction of Smoke Movement in a 10-Storey Building with Experimental Data
Fire Technology. 2009;45(2):163-177   Crossref logo
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Input features and parameters optimization improved the prediction accuracy of support vector regression models based on colorimetric sensor data for detection of aflatoxin B1 in corn
Microchemical Journal. 2022;178:107407   Crossref logo
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Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models
Renewable and Sustainable Energy Reviews. 2014;31:509-519   Crossref logo
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Parameters Identification of Dual-Rate Hammerstein Systems Based on Finite Input Response Models
Applied Mechanics and Materials. 2012;204-208:4742-4745   Crossref logo

Radiotherapy and Oncology. 2011;99:S204   Crossref logo
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Evaluation of TBM performance prediction models and sensitivity analysis of input parameters
Bulletin of Engineering Geology and the Environment. 2016;77(2):501-513   Crossref logo
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Evaluating methods for preventing smoke spread through ventilation systems using fire dynamics simulator
Fire and Materials. 2016;41(6):625-645   Crossref logo
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Research on Fire Smoke Controlling Effect of Submarine Road Tunnel Based on FDS
IOP Conference Series: Materials Science and Engineering. 2020;741(1):012089   Crossref logo
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