Scientific Research Publishing

KAN-Transformer Fusion with Mixture of Experts for Temporal Imputation of Spatiotemporal Air Pollution Data ()

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
International Monetary Fund

Alternative Data and Monetary Policy

In the spring of 2020, the Federal Reserve faced a challenge: The COVID-19 pandemic was upending daily life with shutdowns, social distancing, and heightened uncertainty, but the traditional economic ...
Frontiers

AI-Driven Spatiotemporal Data Mining: Novel Architectures for Imputation and Forecasting

Accurate spatiotemporal prediction is fundamentally essential for anticipating and managing the dynamic evolutions within global physical, environmental, ...
IEEE

Pilot Allocation in Multi-Cell MIMO Systems Based on Missing Data Imputation

Abstract: We consider a pilot allocation algorithm to alleviate pilot contamination in a multi-cell massive MIMO network with missing channel information. We utilize a machine learning framework for ...
IEEE

Conditional Time Series Diffusion Model for High-Speed Train Multi-Sensor Signals Imputation

Abstract: Sensors are widely deployed on high-speed trains for real-time operational status monitoring. The integrity of multi-sensor signals over time is critical for the train’s Prognostics and ...