A survey on diffusion models for time series and spatio-temporal data
The study of time series data is crucial for understanding trends and anomalies over time,
enabling predictive insights across various sectors. Spatio-temporal data, on the other hand …
enabling predictive insights across various sectors. Spatio-temporal data, on the other hand …
DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference
S Wang, X Pan, S Ruan, H Han, Z Wang… - Proceedings of the 30th …, 2024 - dl.acm.org
Crime risk map plays a crucial role in urban planning and public security management.
Traditionally, it is obtained solely from historical crime incidents or inferred from limited …
Traditionally, it is obtained solely from historical crime incidents or inferred from limited …
Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates
Urban pollution poses serious health risks, particularly in relation to traffic-related air
pollution, which remains a major concern in many cities. Vehicle emissions contribute to …
pollution, which remains a major concern in many cities. Vehicle emissions contribute to …