On the public citation graph
Study on the Detection Based on Hyperspectral Data Feature Extraction of Tobacco Evidence from Cigarette Butts
0 signed · 18 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jssc.201300030openalex-extracted
Selective determination of tobacco‐specific nitrosamines in mainstream cigarette smoke by GC coupled to positive chemical ionization triple quadrupole MS
inferredcites →https://doi.org/10.1007/s00217-006-0342-9openalex-extracted
A new approach to discriminate varieties of tobacco using vis/near infrared spectra
inferredcites →https://doi.org/10.1007/s10489-014-0618-xopenalex-extracted
An optimized classification algorithm by BP neural network based on PLS and HCA
inferredcites →https://doi.org/10.1016/j.bdr.2017.07.003openalex-extracted
Random Forests for Big Data
inferredcites →https://doi.org/10.1016/j.chroma.2006.11.100openalex-extracted
Gas chromatography/mass spectrometry versus liquid chromatography/fluorescence detection in the analysis of phenols in mainstream cigarette smoke
inferredcites →https://doi.org/10.1016/j.forsciint.2019.01.021openalex-extracted
Determination of chronological order of crossed lines of ballpoint pens by hyperspectral image in the visible region and multivariate analysis
inferredcites →https://doi.org/10.1016/j.saa.2023.123084openalex-extracted
Online small-object anti-fringe sorting of tobacco stem impurities based on hyperspectral superpixels
inferredcites →https://doi.org/10.1016/j.scijus.2021.06.008openalex-extracted
The effectiveness of forensic evidence in the investigation of volume crime scenes
inferredcites →https://doi.org/10.1155/2022/5847819openalex-extracted
Quantitative Determination of Sucrose Adulterated in Red Ginseng by Terahertz Time-Domain Spectroscopy (THz-TDS) with Monte Carlo Uninformative Variable Elimination (MCUVE) and Support Vector Regression (SVR)
inferredcites →https://doi.org/10.1155/2023/6618009openalex-extracted
Evaluation of Flavor Type of Tobacco Blending Module: A Prediction Model Based on Near-Infrared Spectrum
inferredcites →https://doi.org/10.1177/0967033516678515openalex-extracted
Comparison of partial least squares regression, least squares support vector machines, and Gaussian process regression for a near infrared calibration
inferredcites →https://doi.org/10.1520/jfs14855jopenalex-extracted
Review of Physical Evidence in Forensic Science
inferredcites →https://doi.org/10.21577/0103-5053.20180019openalex-extracted
Automatic Identification of Cigarette Brand Using Near-Infrared Spectroscopy and Sparse Representation Classification Algorithm
inferredcites →https://doi.org/10.3390/pr11041249openalex-extracted
The Application of Hyperspectral Images in the Classification of Fresh Leaves’ Maturity for Flue-Curing Tobacco
inferredcites →https://doi.org/10.3390/s18020391openalex-extracted
Research on the Effects of Drying Temperature on Nitrogen Detection of Different Soil Types by Near Infrared Sensors
inferredcites →https://doi.org/10.5194/gmd-15-5481-2022openalex-extracted
Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not
inferredcites →https://doi.org/10.48550/arxiv.1804.02502openalex-snapshot
Principal Component Analysis: A Natural Approach to Data Exploration
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.