The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Benchmarking four compact LLMs on a Raspberry Pi 500+ shows that smaller models such as TinyLlama are far more practical for local edge workloads, while reasoning-focused models trade latency for ...

Abstract: Channel prediction addresses outdated channel state information by forecasting future channels based on past channel estimates. We propose a machine learning (ML)-based approach using neural ...