Dimensionality Reduction of Hyperspectral Images: A Data-Driven Approach for Band Selection. - Arati Paul; Putul Sahoo; Nabendu Chaki (ACSS (2), 2020)

Dimensionality reduction of hyperspectral image using signal entropy and spatial information in genetic algorithm with discrete wavelet transformation. - Arati Paul; Nabendu Chaki (Evol. Intell., 2021)

Elephant-railway conflict minimisation using real-time video data and machine learning. - Sayan Dutta; Arati Paul; Debasish Chakraborty; G. Srinivasa Rao (J. Reliab. Intell. Environ., 2021)

SSNET: an improved deep hybrid network for hyperspectral image classification. - Arati Paul; Sanghamita Bhoumik; Nabendu Chaki (Neural Comput. Appl., 2021)

Wavelet enabled convolutional autoencoder based deep neural network for hyperspectral image denoising. - Arati Paul; Ahana Kundu; Nabendu Chaki; Dibyendu Dutta; C. S. Jha (Multim. Tools Appl., 2022)

Classification of hyperspectral imagery using spectrally partitioned HyperUnet. - Arati Paul; Sanghamita Bhoumik (Neural Comput. Appl., 2022)

Band selection using spectral and spatial information in particle swarm optimization for hyperspectral image classification. - Arati Paul; Nabendu Chaki (Soft Comput., 2022)