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Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
This paper introduces a novel application of Kolmogorov-Arnold Networks (KANs) to time series forecasting, leveraging their adaptive activation functions for enhanced predictive modeling.
Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface
Environmental scene reconstruction is of great interest for autonomous robotic applications, since an accurate representation of the environment is necessary to ensure safe interaction with robots.
User Clustering for Rate Splitting using Machine Learning
Hierarchical Rate Splitting (HRS) schemes proposed in recent years have shown to provide significant improvements in exploiting spatial diversity in wireless networks and provide high throughput for all users while minimising interference among them.
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