|
|||||
|
|
Hyperspectral imaging-based unsupervised adulterated red chili content transformation for classification: Identification of red chili adulterants |
|
| Authors: | Khan Muhammad Hussain Saleem Zainab Ahmad Muhammad Sohaib Ahmed Ayaz Hamail Mazzara Manuel Raza Rana Aamir |
| Affiliation: | 1.Department of Computer Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, 64200, Pakistan ;2.Centre for Precision Engineering, Materials and Manufacturing Research (PEM Centre), Institute of Technology Sligo, Ash Lane, F91 YW50, Sligo, Ireland ;3.Department of Computer Science, National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus, Islamabad, 35400, Chiniot, Pakistan ;4.Faculty of Engineering and Design and Centre for Precision Engineering, Materials and Manufacturing Research, Institute of Technology Sligo, Ash Lane, F91 YW50, Sligo, Ireland ;5.Institute of Software Development and Engineering, Innopolis University, Innopolis, 420500, Russia ;6.Department of Computer Science, Bahauddin Zakariya University, Multan, 66000, Pakistan ; |
| Abstract: | Neural Computing and Applications - Preserving red-chili quality is of utmost importance in which the authorities demand quality techniques to detect, classify, and prevent it from impurities. For... |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |