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Demetris Trihinas

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Open access Oct 2026

Evaluating the Robustness of Zero-Shot Time Series Models Against Data Degradation in Industrial Sensor Streams

Zero-shot time series foundation models (TSFMs) forecast unseen series without target-specific training, offering a way to significantly reduce the deployment overhead in enterprise pipelines and industrial sensor streams. However, their performance is documented almost exclusively on pristine benchmarks, whereas indus...

Eleftherios Varverakis, Panagiotis Michael, Demetris Trihinas · 0 citations
#artificial intelligence Preprint Sep 2026

A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware

A controlled measurement study of self-hosted LLM inference across edge and near-edge deployment nodes: an NVIDIA Jetson AGX Orin and a near-edge server with CPU-only and GPU-enabled inference modes, highlighting that compute-side inference metrics alone can lead to suboptimal placement for latency-sensitive interactiv...

Maysam Khatib, Moysis Symeonides, Demetris Trihinas et al. · 0 citations

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