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Machine learning-assisted species identification of forensically important blow fly empty puparia using ATR-FTIR spectroscopy

https://doi.org/10.2139/ssrn.7597664
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Best practice in forensic entomology—standards and guidelines
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Cuticular hydrocarbons for the identification and geographic assignment of empty puparia of forensically important flies
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Forensic entomology: applications and limitations
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Cuticular chemical compounds of puparial cases of three forensically important blow flies from Egypt: potential for accurate identification and forensic investigations
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The composition of the empty puparia of a blowfly
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Insect cuticular proteins
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Cuticular hydrocarbons as a tool for the identification of insect species: Puparial cases from Sarcophagidae
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Support vector machines (SVM) in near infrared (NIR) spectroscopy: Focus on parameters optimization and model interpretation
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Comparison of the efficacy of spectral pre-treatments for wheat and weed discrimination in outdoor conditions
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FTIR spectroscopy identification of fraud in coffee powder: a study on preprocessing methods
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Puparial case hydrocarbons of Chrysomya megacephala as an indicator of the postmortem interval
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Structural cuticular proteins from arthropods: Annotation, nomenclature, and sequence characteristics in the genomics era
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Species allocation of recent and weathered blow fly puparia by ATR-FTIR spectroscopy and CHC analysis
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Analysis and comparison of machine learning methods for species identification utilizing ATR-FTIR spectroscopy
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Estimation of long term post mortem intervals by ATR-FTIR spectroscopy of weathered blow fly puparia
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Review of the most common pre-processing techniques for near-infrared spectra
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Linear Support Vector Machine Model of an IR Spectral Library: Application to Skin Cancer
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Support Vector Machine Classification and Regression Prioritize Different Structural Features for Binary Compound Activity and Potency Value Prediction
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Random Forests
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Cuticular hydrocarbons for identifying Sarcophagidae (Diptera)
inferredcites →https://doi.org/10.1039/c4an01061bopenalex-snapshot
Baseline correction using asymmetrically reweighted penalized least squares smoothing
inferredcites →https://doi.org/10.1039/c8an01384eopenalex-snapshot
Optimised spectral pre-processing for discrimination of biofluids via ATR-FTIR spectroscopy
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Validation of Regression Models: Methods and Examples
inferredcites →https://doi.org/10.1093/jmedent/44.3.450openalex-snapshot
Cuticular Hydrocarbon Composition in Pupal Exuviae for Taxonomic Differentiation of Six Necrophagous Flies
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Infrared spectroscopy and forensic entomology: Can this union work? A literature review
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Models of development for blowfly sister species Chrysomya chloropyga and Chrysomya putoria
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Biosynthesis, Turnover, and Functions of Chitin in Insects
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A Roadmap for Bridging Basic and Applied Research in Forensic Entomology
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Forensic Entomology In Criminal Investigations
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Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra
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New method for estimating the post-mortem interval using the chemical composition of different generations of empty puparia: Indoor cases
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Insect Cuticular Chitin Contributes to Form and Function
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The Use of Exoskeletons and Molts of Farmed Mealworm (Tenebrio molitor) for the Removal of Reactive Dyes from Aqueous Solutions
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Total Ion Chromatogram and Total Ion Mass Spectrum as Alternative Tools for Detection and Discrimination (A Review)
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Time Flies—Age Grading of Adult Flies for the Estimation of the Post-Mortem Interval
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Pupal Age Estimation of Sarcophaga peregrina (Diptera: Sarcophagidae) at Different Constant Temperatures Utilizing ATR-FTIR Spectroscopy and Cuticular Hydrocarbons
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A Summary of Concepts, Procedures and Techniques Used by Forensic Entomologists and Proxies
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Advances and Current Status in the Use of Cuticular Hydrocarbons for Forensic Entomology Applications
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Exploring the Steps of Infrared (IR) Spectral Analysis: Pre-Processing, (Classical) Data Modelling, and Deep Learning
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