Long-term time-series pollution forecast using statistical and deep learning methods. - Pritthijit Nath; Pratik Saha; Asif Iqbal Middya; Sarbani Roy (Neural Comput. Appl., 2021)

Hybrid learning model for spatio-temporal forecasting of PM2.5 using aerosol optical depth. - Pritthijit Nath; Biparnak Roy; Pratik Saha; Asif Iqbal Middya; Sarbani Roy (Neural Comput. Appl., 2022)

Improving temporal predictions through time-series labeling using matrix profile and motifs. - Pratik Saha; Pritthijit Nath; Asif Iqbal Middya; Sarbani Roy (Neural Comput. Appl., 2022)

Cloud Native Remote Monitoring Data Ecosystem for Aging Population based on Commercial AAL Sensors. - Kang Wang; Pritthijit Nath; Jasleen Kaur 004; Shi Cao; Plinio P. Morita (EMBC, 2023)

Forecasting Tropical Cyclones with Cascaded Diffusion Models. - Pritthijit Nath; Pancham Shukla; César Quilodrán Casas (CoRR, 2023)

RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models. - Pritthijit Nath; Henry Moss; Emily Shuckburgh; Mark Webb (CoRR, 2024)

Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion Models. - Zhangyue Ling; Pritthijit Nath; César Quilodrán Casas (CoRR, 2024)

Improving Tropical Cyclone Forecasting With Video Diffusion Models. - Zhibo Ren; Pritthijit Nath; Pancham Shukla (CoRR, 2025)

Towards a Foundation Model for Communication Systems. - Davide Buffelli; Sowmen Das; Yu-Wei Lin; Sattar Vakili; Chien-Yi Wang; Masoud Attarifar; Pritthijit Nath; Da-shan Shiu (CoRR, 2025)