Shah, S.T.H.; Qureshi, S.A.; Rehman, A.u.; Shah, S.A.H.; Amjad, A.; Mir, A.A.; Alqahtani, A.; Bradley, D.A.; Khandaker, M.U.; Faruque, M.R.I.;
et al. A Novel Hybrid Learning System Using Modified Breaking Ties Algorithm and Multinomial Logistic Regression for Classification and Segmentation of Hyperspectral Images. Appl. Sci. 2021, 11, 7614.
https://doi.org/10.3390/app11167614
AMA Style
Shah STH, Qureshi SA, Rehman Au, Shah SAH, Amjad A, Mir AA, Alqahtani A, Bradley DA, Khandaker MU, Faruque MRI,
et al. A Novel Hybrid Learning System Using Modified Breaking Ties Algorithm and Multinomial Logistic Regression for Classification and Segmentation of Hyperspectral Images. Applied Sciences. 2021; 11(16):7614.
https://doi.org/10.3390/app11167614
Chicago/Turabian Style
Shah, Syed Taimoor Hussain, Shahzad Ahmad Qureshi, Aziz ul Rehman, Syed Adil Hussain Shah, Arslan Amjad, Adil Aslam Mir, Amal Alqahtani, David A. Bradley, Mayeen Uddin Khandaker, Mohammad Rashed Iqbal Faruque,
and et al. 2021. "A Novel Hybrid Learning System Using Modified Breaking Ties Algorithm and Multinomial Logistic Regression for Classification and Segmentation of Hyperspectral Images" Applied Sciences 11, no. 16: 7614.
https://doi.org/10.3390/app11167614
APA Style
Shah, S. T. H., Qureshi, S. A., Rehman, A. u., Shah, S. A. H., Amjad, A., Mir, A. A., Alqahtani, A., Bradley, D. A., Khandaker, M. U., Faruque, M. R. I., & Rafique, M.
(2021). A Novel Hybrid Learning System Using Modified Breaking Ties Algorithm and Multinomial Logistic Regression for Classification and Segmentation of Hyperspectral Images. Applied Sciences, 11(16), 7614.
https://doi.org/10.3390/app11167614