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Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-031-01587-8openalex-snapshot
Introduction to Graph Neural Networks
inferredcites →https://doi.org/10.1007/978-3-319-55444-0openalex-snapshot
The Data Science Design Manual
inferredcites →https://doi.org/10.1016/0165-1684(81)90017-7openalex-snapshot
IEEE transactions on acoustics, speech, and signal processing
inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
inferredcites →https://doi.org/10.1016/j.neucom.2020.09.060openalex-snapshot
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting
inferredcites →https://doi.org/10.1016/j.neunet.2012.09.018openalex-snapshot
Essentials of the self-organizing map
inferredcites →https://doi.org/10.1016/j.procs.2019.09.159openalex-snapshot
Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes
inferredcites →https://doi.org/10.1016/j.procs.2020.08.032openalex-snapshot
RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products’ values
inferredcites →https://doi.org/10.1016/j.wace.2019.100235openalex-snapshot
Understanding future changes in tropical cyclogenesis using Self-Organizing Maps
inferredcites →https://doi.org/10.1038/s41586-021-03854-zopenalex-snapshot
Skilful precipitation nowcasting using deep generative models of radar
inferredcites →https://doi.org/10.1038/s42254-021-00314-5openalex-snapshot
Physics-informed machine learning
inferredcites →https://doi.org/10.1080/11926422.2021.2014918openalex-snapshot
How to Avoid a Climate Disaster: The Solutions We Have and the Breakthroughs We Need
inferredcites →https://doi.org/10.1109/4235.585893openalex-snapshot
No free lunch theorems for optimization
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489693openalex-snapshot
A Spatiotemporal Ensemble Approach to Rainfall Forecasting
inferredcites →https://doi.org/10.1109/tassp.1978.1163055openalex-snapshot
Dynamic programming algorithm optimization for spoken word recognition
inferredcites →https://doi.org/10.1109/wacv.2019.00192openalex-snapshot
Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events
inferredcites →https://doi.org/10.1127/metz/2019/0977openalex-snapshot
Machine Learning Approach to Summer Precipitation Nowcasting over the Eastern Alps
inferredcites →https://doi.org/10.1145/3292500.3330896openalex-snapshot
Modeling Extreme Events in Time Series Prediction
inferredcites →https://doi.org/10.1145/3468791.3468806openalex-snapshot
DJEnsemble: a Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models
inferredcites →https://doi.org/10.1155/2020/8408931openalex-snapshot
A Precipitation Nowcasting Mechanism for Real-World Data Based on Machine Learning
inferredcites →https://doi.org/10.3390/atmos11111157openalex-snapshot
Precipitation Nowcasting with Weather Radar Images and Deep Learning in São Paulo, Brasil
inferredcites →https://doi.org/10.48550/arxiv.1506.04214openalex-snapshot
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
inferredcites →https://doi.org/10.48550/arxiv.1912.12132openalex-snapshot
Machine Learning for Precipitation Nowcasting from Radar Images
inferredcites →https://doi.org/10.48550/arxiv.2003.12140openalex-snapshot
MetNet: A Neural Weather Model for Precipitation Forecasting
inferredcites →https://doi.org/10.48550/arxiv.2007.15484openalex-snapshot
Learning from Few Samples: A Survey
inferredcites →https://doi.org/10.5194/gmd-13-2631-2020openalex-snapshot
RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4875891openalex-extracted
A Deep Learning Algorithm for Classification of Precipitation Extremes Over Vidarbha Region in Central India
inferred← citeshttps://doi.org/10.1007/978-981-99-5435-3_45openalex-snapshot
Prediction Model for Precision Agriculture Using Machine Learning
inferred← citeshttps://doi.org/10.1007/s40430-026-06873-xopenalex-snapshot
Artificial intelligence in mechanical engineering: foundations, opportunities, challenges, and responsibilities
inferred← citeshttps://doi.org/10.1007/s41748-025-00672-5openalex-snapshot
Predicting Heavy Precipitation in Southwest Iran: A Machine Learning Classification Approach with Atmospheric Precursors and Feature Optimization
inferred← citeshttps://doi.org/10.1016/j.is.2025.102524openalex-snapshot
Scalable and accurate online multivariate anomaly detection
inferred← citeshttps://doi.org/10.1038/s41598-026-43029-2openalex-snapshot
Assessing the environmental costs of multi-scale recurrent neural networks for sustainable extreme rainfall nowcasting
inferred← citeshttps://doi.org/10.1109/idciot67589.2026.11455751openalex-snapshot
The Role of AI in Climate Change Prediction: Analysing Machine Learning Models for Extreme Weather Forecasting
inferred← citeshttps://doi.org/10.14393/ufu.di.2022.680openalex-snapshot
Análise de séries temporais com uso de redes neurais artificiais em dados meteorológicos para previsão de chuva e eventos climáticos severos
inferred← citeshttps://doi.org/10.56815/ijmrr.v4i2.2025.1-20openalex-snapshot
PREDICTING EXTREME WEATHER IN THE CENTRAL HIMALAYAS USING ARTIFICIAL INTELLIGENCE AND AEROSOL DYNAMICS
inferred← citeshttps://doi.org/10.5753/eniac.2025.14418openalex-snapshot
Beyond Accuracy: A Comparative Study of Machine Learning Models for Extreme Weather Forecasting in Rio de Janeiro with a Green AI Perspective
inferred← citeshttps://doi.org/10.5753/sbbd.2025.247286openalex-snapshot
Twinscie-Prov: Gerenciando a Proveniência sobre o Ciclo-de-vida de ML no Sistema Twinscie
inferred← citeshttps://doi.org/10.5753/sbbd_estendido.2022.21862openalex-snapshot
Towards a Definition for Extreme Weather Events in Rio de Janeiro City
inferred← citeshttps://doi.org/10.5753/sbbd_estendido.2022.21866openalex-snapshot
Analysis and Visualization of Extreme Weather Events in the City of Rio de Janeiro
inferred← citeshttps://doi.org/10.5753/semish.2026.23878openalex-snapshot
Physics-Informed Machine Learning for Extreme Rainfall Nowcasting: A Rapid Review Toward Sustainable Early Warning Systems
inferred← citeshttps://doi.org/10.5753/webmedia.2024.242049openalex-snapshot
Interpolação e Previsão de Precipitação por Redes Neurais Convolucionais para Grafos
inferred← citeshttps://doi.org/10.5753/wics.2024.2363openalex-snapshot
O Paradoxo da IA para Sustentabilidade e a Sustentabilidade da IA
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