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Titlebook: Evaluation of Fire Flow Methodologies; Matthew E. Benfer,Joseph L. Scheffey Book 2015 Fire Protection Research Foundation 2015 Building fi

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21#
發(fā)表于 2025-3-25 05:17:40 | 只看該作者
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發(fā)表于 2025-3-25 09:45:47 | 只看該作者
Evaluation of Fire Flow Methodologies978-1-4939-2889-7Series ISSN 2193-6595 Series E-ISSN 2193-6609
23#
發(fā)表于 2025-3-25 11:53:36 | 只看該作者
Literature Review, against the existing or planned water supply and adjust accordingly. The on-scene fire flow calculation methods consist of one equation with one variable used to determine the fire flow. This allows the firefighters on scene to assess whether they need more hose lines or apparatus to fight the fire
24#
發(fā)表于 2025-3-25 19:14:25 | 只看該作者
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發(fā)表于 2025-3-25 21:49:57 | 只看該作者
Book 2015ding variables that determine fire flow. A survey form for fire departments is provided to help fire departments identify key predictive features based on construction and building parameters. Researchers and professionals in fire engineering will find the recommendations in Evaluation of Fire Flow
26#
發(fā)表于 2025-3-26 02:26:39 | 只看該作者
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發(fā)表于 2025-3-26 04:25:55 | 只看該作者
2522-8714 elds of Architecture, Engineering, and Technology.Equips reaThis book summarizes the latest studies regarding innovation in urban design and planning. It shares many tips and insights about sustainable solutions for the issues facing transport systems, innovative digital technologies, and ICT trends
28#
發(fā)表于 2025-3-26 10:05:53 | 只看該作者
https://doi.org/10.1007/978-3-663-04399-7nd the lower bridge arm voltage are extracted by three-layer Wavelet Package Transform, the BP neural network is designed for training data and testing. The simulation model is built by Matlab/Simulink, the simulation results show that the method can accurately diagnose for various fault circumstances.
29#
發(fā)表于 2025-3-26 16:32:03 | 只看該作者
The Application of Kalman Filter Based Human-Computer Learning Model to Chinese Word Segmentationents show that it achieves an encouraging performance in saving human effort and the segmenter with knowledge learned from users outperforms the baseline model by about 10% in segmenting homogenous texts.
30#
發(fā)表于 2025-3-26 17:12:18 | 只看該作者
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