Results 171 to 180 of about 2,795,506 (214)

Optimized Stacking Ensemble Machine Learning for Nondestructive Toxicological Risk Assessment of Fish Meat Using Hyperspectral Imaging

Journal of Food Safety, Volume 46, Issue 5, October 2026.
Hyperspectral imaging and an optimized stacking ensemble learning model are developed for rapid, nondestructive toxicological assessment of fish meat. This framework integrated multiple machine learning classifiers to accurately distinguish toxicologically contaminated fish from fresh samples using both reduced (25‐band) and full (224‐band) spectral ...
Muhammad Aqeel, Muhammad Iqbal, Hassan Majeed, Rumaisa Mahmod, Khan Bahadar Khan, Yiming Deng   +5 more
wiley   +1 more source

Design & development of adulteration detection system by fumigation method & machine learning techniques. [PDF]

Sci Rep
Agrawal U, Bawane N, Alsubaie N, Alqahtani MS, Abbas M, Soufiene BO.   +5 more
europepmc   +1 more source

Application of Spatial Offset Raman Spectroscopy (SORS) and Machine Learning for Sugar Syrup Adulteration Detection in UK Honey. [PDF]

Foods
Shehata M, Dodd S, Mosca S, Matousek P, Parmar B, Kevei Z, Anastasiadi M.   +6 more
europepmc   +1 more source

Layer-by-Layer Biopolymer Assembly for the In Situ Fabrication of AuNP Plasmonic Paper-A SERS Substrate for Food Adulteration Detection. [PDF]

ACS Omega
Viriyakitpattana N, Rattanabut C, Lertvachirapaiboon C, Pimalai D, Bamrungsap S.   +4 more
europepmc   +1 more source

Artificial Intelligence-Driven Dairy Quality Assessment: From Advanced Sensing Technologies to Explainable Intelligence. [PDF]

Foods
Song X, Liang Z, Cheng C, Wu R, Dong G, Cui X, Ding H.   +6 more
europepmc   +1 more source

Gasoline Adulteration Analysis Based on Raman Spectroscopy and a Multi-Scale Convolutional Neural Network. [PDF]

ACS Omega
Bai Y, Yuan Y, Yang H, Li Y, Zuo Y, Xiao Z, Kang M, Tang B.   +7 more
europepmc   +1 more source

Detection, Differentiation and Quantification of Major Sugar Based Adulterants in Honey Using FTIR-ATR Spectroscopy Coupled with Chemometric Modeling. [PDF]

Foods
Waseem S, Sohaib M, Qazi HJ, Abbas M.
europepmc   +1 more source

Reliable Quantification of Powdered Ginger Adulteration by Vis-NIR Spectroscopy and Chemometrics. [PDF]

Molecules
Amine R, Sánchez PF, Kharkhour H, El-Laghdach A, Palma M, Azaroual L.   +5 more
europepmc   +1 more source

Applications of NIR Spectroscopy and Chemometrics for Food Authentication and Safety: Detection of Adulterants and Contaminants. [PDF]

Molecules
Pellicorio V, Colombo R, Papetti A.
europepmc   +1 more source

Detection of Honey Adulteration Using UV-Vis Absorption Spectroscopy and Chemometrics. [PDF]

Foods
Ibrahim A, Amin MO, D'Cruz B, Vyas B, Lednev IK, Al-Hetlani E.   +5 more
europepmc   +1 more source