5 papers
TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolution
Prasanjit Dey, Zachary Yahn, Bianca Schoen-Phelan +1
Nitrogen dioxide (NO) is a primary atmospheric pollutant and a significant contributor to respiratory morbidity and urban climate-related challenges. While satellite platforms…
NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting
Prasanjit Dey, Soumyabrata Dev, Angela Meyer +1
Accurate air quality forecasting is crucial for protecting public health and guiding environmental policy, yet it remains challenging due to nonlinear spatiotemporal dynamics, wind…
PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO and SO Using Satellite-Ground Data Fusion
Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
Accurate assessment of atmospheric nitrogen dioxide (NO) and sulfur dioxide (SO) is essential for understanding climate-air quality interactions, supporting environmental p…
Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings
Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
Accurate forecasting of air pollution is important for environmental monitoring and policy support, yet data-driven models often suffer from limited generalization in regions with…
One-for-All: A Lightweight Stabilized and Parameter-Efficient Pre-trained LLM for Time Series Forecasting
Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
We address the challenge of adapting pre-trained Large Language Models (LLMs) for multivariate time-series analysis, where their deployment is often hindered by prohibitive computa…