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Abstract: In machine condition monitoring, reliable intelligent fault diagnosis is often challenged by the complexity of measurement signals acquired from multiple sensors operating in harsh ...
Abstract: While Vision-Language Models (VLMs) have achieved remarkable success in tasks involving natural RGB images, their capability to understand non-RGB sensor data, including thermal, depth, ...
A new machine learning framework designed to detect malicious interference in unmanned aerial vehicles (UAVs), commonly known as drones, has shown strong performance in identifying both sudden and ...
You might love the motivating tempo for workouts or the cadent call for calm that a smartwatch heart rate monitor provides. But when it’s time for an upgrade, what ...
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TEMPO is a backbone-agnostic framework that turns any decoder-only LLM into a time-series reasoner. Signals are encoded into discrete tokens by a small quantizer (FSQ, FSQ-Transformer-RoPE, or TOTEM), ...