Year : 2022
Airborne hyperspectral imagery for band selection using moth–flame metaheuristic optimization
Cite this Research Publication : Anand, R., Samiaappan, S., Veni, S., Worch, E., & Zhou, M. (2022). Airborne hyperspectral imagery for band selection using moth–flame metaheuristic optimization. Journal of Imaging, 8(5), 126.
Year : 2021
Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images
Cite this Research Publication : Anand, R., Sowmya, V., Menon, V., Gopalakrishnan, A., & Soman, K. P. (2021). Modified VGG deep-learning architecture for COVID-19 classification using chest radiography images. Biomedical and Biotechnology Research Journal (BBRJ), 5(1), 43-49.
Year : 2021
Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms
Cite this Research Publication : Anand, R., Veni, S., Geetha, P., & Subramoniam, S. R. (2021). Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms. International Journal of Intelligent Networks, 2, 1-6.
Year : 2021
Robust classification technique for hyperspectral images based on 3D-discrete wavelet transform
Cite this Research Publication : Anand, R., Veni, S., & Aravinth, J. (2021). Robust classification technique for hyperspectral images based on 3D-discrete wavelet transform. Remote Sensing, 13(7), 1255.