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Prediction of Flash Points for Fuel Mixtures Using Machine Learning and a Novel Equation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Binary mixtures exhibiting maximum flash-point behavior
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Binary liquid solutions exhibiting minimum flash-point behavior
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A Unique Equation to Estimate Flash Points of Selected Pure Liquids Application to the Correction of Probably Erroneous Flash Point Values
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Estimation of Closed Cup Flash Points of Combustible Solvent Blends
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FORMULATION OF A SURROGATE FOR THE SIMULATION OF JET FUEL POOL FIRES
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On the rational formulation of alternative fuels: melting point and net heat of combustion predictions for fuel compounds using machine learning methods
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Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval
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Prediction of Minimum Flash Point Behaviour for Binary Mixtures
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Advances in kernel methods: support vector learning

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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