Imagen de Portada

A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Qijun, Li, Shaofan
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Causal Graph Neural Networks for Wildfire Danger Prediction
por: Zhao, Shan, et al.
Publicado: (2024)

Explainable Global Wildfire Prediction Models using Graph Neural Networks
por: Chen, Dayou, et al.
Publicado: (2024)

DecoKAN: Interpretable Decomposition for Forecasting Cryptocurrency Market Dynamics
por: Gao, Yuan, et al.
Publicado: (2025)

JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning
por: Çakır, Ufuk, et al.
Publicado: (2025)

A Novel Deep Neural Network Architecture for Real-Time Water Demand Forecasting
por: Salloom, Tony, et al.
Publicado: (2025)

Applying Ensemble Models based on Graph Neural Network and Reinforcement Learning for Wind Power Forecasting
por: Song, Hongjin, et al.
Publicado: (2025)

Spectral Transformer Neural Processes
por: Chen, Xianhe, et al.
Publicado: (2026)

Transformers are Graph Neural Networks
por: Joshi, Chaitanya K.
Publicado: (2025)

Leveraging Graph Neural Networks to Forecast Electricity Consumption
por: Campagne, Eloi, et al.
Publicado: (2024)

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
por: Farahmand, Ebrahim, et al.
Publicado: (2025)

A Neural Network-Based Real-time Casing Collar Recognition System for Downhole Instruments
por: Xiao, Si-Yu, et al.
Publicado: (2025)

Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study
por: Du, Hongru, et al.
Publicado: (2024)

Transformer Multivariate Forecasting: Less is More?
por: Xu, Jingjing, et al.
Publicado: (2023)

Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
por: Sriramulu, Abishek, et al.
Publicado: (2024)

Multi-scale Wasserstein Shortest-path Graph Kernels for Graph Classification
por: Ye, Wei, et al.
Publicado: (2022)

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
por: Jin, Ming, et al.
Publicado: (2023)

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
por: Ghaffari, Amirhossein, et al.
Publicado: (2026)

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
por: Miranda, Miro, et al.
Publicado: (2024)

MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting
por: Nguyen, Thang, et al.
Publicado: (2024)

LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting
por: Luo, Qinyao, et al.
Publicado: (2024)

QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks
por: Chen, Qian, et al.
Publicado: (2025)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
por: Ma'sum, Muhammad Anwar, et al.
Publicado: (2024)

A Transformer approach for Electricity Price Forecasting
por: Llorente, Oscar, et al.
Publicado: (2024)

Fredformer: Frequency Debiased Transformer for Time Series Forecasting
por: Piao, Xihao, et al.
Publicado: (2024)

Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
por: Üstek, İrem, et al.
Publicado: (2024)

EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting
por: Pathak, Rajdeep, et al.
Publicado: (2026)

NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
por: Alkin, Benedikt, et al.
Publicado: (2024)

TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting
por: Kong, Linghang, et al.
Publicado: (2024)

A lightweight Spatial-Temporal Graph Neural Network for Long-term Time Series Forecasting
por: Moges, Henok Tenaw, et al.
Publicado: (2025)

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
por: Jin, Ming, et al.
Publicado: (2023)

Efficient Neural Networks with Discrete Cosine Transform Activations
por: Martinez-Gost, Marc, et al.
Publicado: (2025)

Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
por: Wang, Muyao, et al.
Publicado: (2024)

A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems
por: Li, Pang, et al.
Publicado: (2024)

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting
por: Shao, Chen, et al.
Publicado: (2025)

StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs
por: Luo, Qijun, et al.
Publicado: (2025)

Expert System for Bitcoin Forecasting: Integrating Global Liquidity via TimeXer Transformers
por: T, Sravan Karthick
Publicado: (2025)

Graph Neural Networks with Diversity-aware Neighbor Selection and Dynamic Multi-scale Fusion for Multivariate Time Series Forecasting
por: Xu, Jingqi, et al.
Publicado: (2025)

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
por: Cao, Fanpu, et al.
Publicado: (2024)

Epi$^2$-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
por: Sun, Rui, et al.
Publicado: (2025)

Probabilistic Multi-Regional Solar Power Forecasting with Any-Quantile Recurrent Neural Networks
por: Smyl, Slawek, et al.
Publicado: (2026)