Comparison of different processing approaches by SVM and RF on HS-MS eNose and NIR Spectrometry data for the discrimination of gasoline samples

Discrimination of Ignitable Liquid Residues in Burned Petroleum-Derived Substrates by Using HS-MS eNose and Chemometrics

(2021) Barbara Falatová et al.   SENSORS

Forensic investigation of arson residue by infrared and Raman spectroscopy: From conventional to non-destructive techniques

(2020) Vijay Kumar Yadav et al.   MEDICINE SCIENCE AND THE LAW

Detection of adulteration in Chinese honey using NIR and ATR-FTIR spectral data fusion

(2020) Furong Huang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Data Fusion of Raman and Near-Infrared Spectroscopies for the Rapid Quantitative Analysis of Methanol Content in Methanol–Gasoline

(2019) Maogang Li et al.   ENERGY & FUELS

Comparison of SVM, RF and ELM on an Electronic Nose for the Intelligent Evaluation of Paraffin Samples

(2018) Hong Men et al.   SENSORS

Effects of Fire Suppression Agents and Weathering in the Analysis of Fire Debris by HS-MS eNose

(2018) Barbara Falatová et al.   SENSORS

Portable near infrared spectroscopy applied to fuel quality control

(2018) Radigya M. Correia et al.   TALANTA

Traceability of wild Paris polyphylla Smith var. yunnanensis based on data fusion strategy of FT-MIR and UV–Vis combined with SVM and random forest

(2018) Xue-Mei Wu et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Using fieldable spectrometers and chemometric methods to determine RON of gasoline from petrol stations: A comparison of low-field 1H NMR@80 MHz, handheld RAMAN and benchtop NIR

(2018) Melanie Voigt et al.   FUEL

Validation of an HS-MS method for direct determination and classification of ignitable liquids

(2017) Marta Ferreiro-González et al.   MICROCHEMICAL JOURNAL

Characterization and Differentiation of Petroleum-Derived Products by E-Nose Fingerprints

(2017) Marta Ferreiro-González et al.   SENSORS

Assessing evidentiary value in fire debris analysis by chemometric and likelihood ratio approaches

(2016) Michael E. Sigman et al.   FORENSIC SCIENCE INTERNATIONAL

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Determination of Ignitable Liquids in Fire Debris: Direct Analysis by Electronic Nose

(2016) Marta Ferreiro-González et al.   SENSORS

Gasoline analysis by headspace mass spectrometry and near infrared spectroscopy

(2015) Marta Ferreiro-González et al.   FUEL

Comparison of ELM, RF, and SVM on E-nose and E-tongue to trace the quality status of mandarin (Citrus unshiu Marc.)

(2015) Shanshan Qiu et al.   JOURNAL OF FOOD ENGINEERING

New Headspace-Mass Spectrometry Method for the Discrimination of Commercial Gasoline Samples with Different Research Octane Numbers

(2014) Marta Ferreiro-González et al.   ENERGY & FUELS

Hierarchical Cluster Analysis of Ignitable Liquids Based on the Total Ion Spectrum

(2014) Erin E. Waddell et al.   JOURNAL OF FORENSIC SCIENCES

Random forest as a potential multivariate method for near-infrared (NIR) spectroscopic analysis of complex mixture samples: Gasoline and naphtha

(2013) Sanguk Lee et al.   MICROCHEMICAL JOURNAL

Gasoline classification using near infrared (NIR) spectroscopy data: Comparison of multivariate techniques

(2010) Roman M. Balabin et al.   ANALYTICA CHIMICA ACTA

Autoregressive modeling of near-IR spectra and MLR to predict RON values of gasolines

(2009) Andreas A. Kardamakis et al.   FUEL

Support vector machines (SVM) in near infrared (NIR) spectroscopy: Focus on parameters optimization and model interpretation

(2008) Olivier Devos et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS