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Near-Infrared (NIR) Spectroscopy for Biodiesel Analysis: Fractional Composition, Iodine Value, and Cold Filter Plugging Point from One Vibrational Spectrum
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Multivariate near infrared spectroscopy models for predicting methanol and water content in biodiesel
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Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data
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inferred← citeshttps://doi.org/10.5281/zenodo.15131723zenodo-depositor-declared
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inferred← citeshttps://doi.org/10.1007/978-981-19-1625-0_8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10811-013-0120-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11947-024-03486-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s42947-019-0002-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.canep.2011.10.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cej.2011.11.027openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cej.2012.10.069openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ces.2012.06.060openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.conbuildmat.2015.12.025openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fuel.2012.02.052openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fuel.2012.03.016openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fuel.2012.04.019openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fuel.2015.02.082openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fuel.2019.116344openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fuel.2022.123348openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fuproc.2021.106960openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infrared.2021.103933openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpba.2011.12.011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jtice.2012.01.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.microc.2017.03.029openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.pecs.2021.100904openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.saa.2011.12.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.saa.2012.06.024openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.saa.2017.03.008openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.saa.2019.01.046openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.saa.2021.120085openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.saa.2022.120860openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.scenv.2026.100317openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.snb.2012.07.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.snb.2013.12.028openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.talanta.2012.01.060openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.talanta.2012.04.017openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.talanta.2017.12.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.vibspec.2020.103071openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acs.energyfuels.0c03927openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/ie300486vopenalex-snapshot
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inferred← citeshttps://doi.org/10.1021/ie5012195openalex-snapshot
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inferred← citeshttps://doi.org/10.1051/meca/2015098openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/05704928.2017.1289471openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/09593330.2012.683817openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1757-899x/518/6/062008openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tnnls.2014.2333664openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2016/9492030openalex-snapshot
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inferred← citeshttps://doi.org/10.11606/d.64.2018.tde-04052018-092432openalex-snapshot
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inferred← citeshttps://doi.org/10.1255/jnirs.1038openalex-snapshot
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inferred← citeshttps://doi.org/10.1366/11-06529openalex-snapshot
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inferred← citeshttps://doi.org/10.14355/ijcsa.2014.0303.01openalex-snapshot
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inferred← citeshttps://doi.org/10.30744/brjac.2179-3425.ar-30-2022openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/mi13101590openalex-snapshot
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inferred← citeshttps://doi.org/10.4271/03-17-07-0051openalex-snapshot
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inferred← citeshttps://doi.org/10.5772/intechopen.70691openalex-snapshot
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inferred← citeshttps://doi.org/10.70675/0d9f15e6z755cz4f65za144z54894d60bfe5openalex-snapshot
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inferred← citeshttps://doi.org/10.82308/39302openalex-snapshot
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