Cover Image

NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dey, Prasanjit, Dev, Soumyabrata, Meyer, Angela, Schoen-Phelan, Bianca
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings
by: Dey, Prasanjit, et al.
Published: (2026)

One-for-All: A Lightweight Stabilized and Parameter-Efficient Pre-trained LLM for Time Series Forecasting
by: Dey, Prasanjit, et al.
Published: (2026)

TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolution
by: Dey, Prasanjit, et al.
Published: (2026)

PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO$_2$ and SO$_2$ Using Satellite-Ground Data Fusion
by: Dey, Prasanjit, et al.
Published: (2026)

Evidential Neural Radiance Fields
by: Duan, Ruxiao, et al.
Published: (2026)

A Deep Learning Approach for Spatio-Temporal Forecasting of InSAR Ground Deformation in Eastern Ireland
by: Yao, Wendong, et al.
Published: (2025)

AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting
by: Wu, Binqing, et al.
Published: (2026)

HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
by: Chen, Ling, et al.
Published: (2021)

Advection Augmented Convolutional Neural Networks
by: Zakariaei, Niloufar, et al.
Published: (2024)

PIVONet: A Physically-Informed Variational Neuro ODE Model for Efficient Advection-Diffusion Fluid Simulation
by: Cheung, Hei Shing, et al.
Published: (2026)

Interpreting a Semantic Segmentation Model for Coastline Detection
by: O'Sullivan, Conor, et al.
Published: (2024)

Physics-Informed Neural Networks for Joint Source and Parameter Estimation in Advection-Diffusion Equations
by: Anague, Brenda, et al.
Published: (2025)

A multimodal Transformer for InSAR-based ground deformation forecasting with cross-site generalization across Europe
by: Yao, Wendong, et al.
Published: (2025)

Spatio-Temporal Field Neural Networks for Air Quality Inference
by: Feng, Yutong, et al.
Published: (2024)

Evidential Uncertainty Probes for Graph Neural Networks
by: Yu, Linlin, et al.
Published: (2025)

NeuroPMD: Neural Fields for Density Estimation on Product Manifolds
by: Consagra, William, et al.
Published: (2025)

PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints
by: Wang, Shuo, et al.
Published: (2025)

The Effectiveness of Edge Detection Evaluation Metrics for Automated Coastline Detection
by: O'Sullivan, Conor, et al.
Published: (2024)

EmissionNet: Air Quality Pollution Forecasting for Agriculture
by: Saligram, Prady, et al.
Published: (2025)

WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data
by: Borah, Jintu, et al.
Published: (2024)

Federated Language Models Under Bandwidth Budgets: Distillation Rates and Conformal Coverage
by: Dubey, Prasanjit, et al.
Published: (2026)

Matching Rates and Optimal Allocation for Federated Probe-Logit Distillation under Heterogeneous Bandwidth Budgets
by: Dubey, Prasanjit, et al.
Published: (2026)

Evidential Physics-Informed Neural Networks
by: Tan, Hai Siong, et al.
Published: (2025)

Difference Learning for Air Quality Forecasting Transport Emulation
by: Chen, Reed River, et al.
Published: (2024)

FuXi-Air: Urban Air Quality Forecasting Based on Emission-Meteorology-Pollutant multimodal Machine Learning
by: Geng, Zhixin, et al.
Published: (2025)

Overcoming Non-stationary Dynamics with Evidential Proximal Policy Optimization
by: Akgül, Abdullah, et al.
Published: (2025)

Cross-Dataset Gaze Estimation by Evidential Inter-intra Fusion
by: Wang, Shijing, et al.
Published: (2024)

Evidential Physics-Informed Neural Networks for Scientific Discovery
by: Tan, Hai Siong, et al.
Published: (2025)

EviNAM: Intelligibility and Uncertainty via Evidential Neural Additive Models
by: Schleibaum, Sören, et al.
Published: (2026)

Explainable Evidential Clustering
by: de Souza, Victor F. Lopes, et al.
Published: (2025)

Automated Coastline Extraction Using Edge Detection Algorithms
by: O'Sullivan, Conor, et al.
Published: (2024)

EVEREST: An Evidential, Tail-Aware Transformer for Rare-Event Time-Series Forecasting
by: Zilinskas, Antanas, et al.
Published: (2026)

Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting
by: Cui, Zhiqing, et al.
Published: (2026)

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
by: Wang, Qiongyan, et al.
Published: (2025)

Beyond the Hype: Comparing Lightweight and Deep Learning Models for Air Quality Forecasting
by: Gondal, Moazzam Umer, et al.
Published: (2025)

First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models
by: Qu, Yifan, et al.
Published: (2024)

Simulating the Air Quality Impact of Prescribed Fires Using Graph Neural Network-Based PM$_{2.5}$ Forecasts
by: Liao, Kyleen, et al.
Published: (2023)

Synergistic Neural Forecasting of Air Pollution with Stochastic Sampling
by: Abeysinghe, Yohan, et al.
Published: (2025)

Air Quality Forecasting Using Machine Learning: A Global perspective with Relevance to Low-Resource Settings
by: Christian, Mulomba Mukendi, et al.
Published: (2024)

TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization
by: Zhang, Jiayi, et al.
Published: (2025)