Mohammed Kamruzzaman

Keyphrases

1. Hyperspectral Imaging 100%
2. Near-infrared Hyperspectral Imaging (NIR-HSI) 33%
3. Near-infrared Spectroscopy 27%
4. Chemometrics 25%
5. Multivariate Analysis 23%
6. Partial Least Squares Regression Model 22%
7. Adulteration 20%
8. Quality Assessment 19%
9. Hyperspectral 19%
10. Machine Learning 16%
11. Sweet Potato 16%
12. Spectral Data 16%
13. Spectral Range 16%
14. Lamb Meat 15%
15. Partial Least Squares Regression 14%
16. Adulteration Detection 14%
17. Moisture 14%
18. Red Meat 14%
19. Visible-infrared 14%
20. Minced Meat 12%
21. Feature Wavelength 12%
22. Moisture Content 12%
23. NIR Spectroscopy 12%
24. Non-destructive 12%
25. RMSEP 12%
26. Agriculture 11%
27. Explainable Artificial Intelligence 11%
28. Fraud Detection 11%
29. Hyperspectral Image Reconstruction 11%
30. Adulterated 11%
31. Spectroscopic Analysis 10%
32. Hyperspectral Imaging Technology 10%
33. Lamb 9%
34. Quality Attributes 9%
35. Electronic Nose (E-nose) 9%
36. Time Monitoring 9%
37. Sweetpotatoes 9%
38. Meat 8%
39. Food Authentication 8%
40. Variable Selection Methods 8%
41. Lamb muscle 8%
42. Quinoa Flour 8%
43. Quality Prediction 8%
44. Non-destructive Prediction 8%
45. PLS Regression 8%
46. Deep Learning Methods 8%
47. Chemical Composition 8%
48. Calibration Model 7%
49. Agricultural Application 7%
50. Hyperspectral Image Analysis 7%