Hyperspectral imaging-based unsupervised adulterated red chili content transformation for classification: Identification of red chili adulterants MH Khan, Z Saleem, M Ahmad, A Sohaib, H Ayaz, M Mazzara, RA Raza Neural Computing and Applications 33 (21), 14507-14521, 2021 | 38 | 2021 |
Hyperspectral imaging for color adulteration detection in red chili MH Khan, Z Saleem, M Ahmad, A Sohaib, H Ayaz, M Mazzara Applied Sciences 10 (17), 5955, 2020 | 38 | 2020 |
Prediction of microbial spoilage and shelf-life of bakery products through hyperspectral imaging Z Saleem, MH Khan, M Ahmad, A Sohaib, H Ayaz, M Mazzara IEEE Access 8, 176986-176996, 2020 | 34 | 2020 |
Myoglobin-based classification of minced meat using hyperspectral imaging H Ayaz, M Ahmad, A Sohaib, MN Yasir, MA Zaidan, M Ali, MH Khan, ... Applied sciences 10 (19), 6862, 2020 | 27 | 2020 |
Classification of cow diet based on milk Mid Infrared Spectra: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2022” M Frizzarin, G Visentin, A Ferragina, E Hayes, A Bevilacqua, B Dhariyal, ... Chemometrics and Intelligent Laboratory Systems 234, 104755, 2023 | 11 | 2023 |
Potential of Raman spectroscopy for in-line measurement of raw milk composition HMH Khan, U McCarthy, K Esmonde-White, I Casey, N O'Shea Food Control 152, 109862, 2023 | 10 | 2023 |
Quantification of macro-components in raw milk using micro NIR sensors HMH Khan, Y Pu, U McCarthy, I Casey, N O’Shea Journal of Food Composition and Analysis, 106423, 2024 | | 2024 |
Effect of Homogenisation on the Near-Infrared (Nir) Spectrum and Prediction Performance of Raw Milk HMH Khan, YY Pu, U McCarthy, I Casey, N O’Shea Available at SSRN 4646865, 0 | | |