Novel Deep-Learning-Based Spatial-Spectral Feature Extraction For Hyperspectral Remote Sensing Applications. - Bishwas Praveen; Vineetha Menon (IEEE BigData, 2019)

Study of Spatial-Spectral Feature Extraction Frameworks With 3-D Convolutional Neural Network for Robust Hyperspectral Imagery Classification. - Bishwas Praveen; Vineetha Menon (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Hyper-Vit: A Novel Light-Weighted Visual Transformer-Based Supervised Classification Framework For Hyperspectral Remote Sensing Applications. - Bishwas Praveen; Vineetha Menon (WHISPERS, 2022)

A Bidirectional Deep-Learning-Based Spectral Attention Mechanism for Hyperspectral Data Classification. - Bishwas Praveen; Vineetha Menon (Remote. Sens., 2022)

Dual-Branch-AttentionNet: A Novel Deep-Learning-Based Spatial-Spectral Attention Methodology for Hyperspectral Data Analysis. - Bishwas Praveen; Vineetha Menon (Remote. Sens., 2022)

The Science Discovery Engine: Leveraging an Insight Engine Capability to Enable Scientific Search. - Kaylin M. Bugbee; Ashish Acharya; Emily Foshee; Muthukumaran Ramasubramanian; Carson Davis; Bishwas Praveen; Kartik Nagaraja; Tarun Misra; Shravan Vishwanathan; Stephanie Wingo; Nikita Balsara; Xiang Li 043; et al. (IGARSS, 2024)