TokaMind, pre-trained on MAST tokamak data, transfers to power grid PMU data for severe event classification with F1 0.837, where difficulty depends on grid topology and CSD indicators boost early-warning performance over CNN baselines.
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2026 3representative citing papers
A seed dataset of 89 Nigerian machinery indicators plus 94 domain-grounded CoT rows, raising domain-grounded prompts from 1/78 to 94/94 and retrieval fidelity to 84/84.
Tailored nullspace-based FDI synthesis conditions for closed-loop systems are derived and validated through experiments on a large-scale wafer stage prototype.
citing papers explorer
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TokaMind for Power Grid: Cross-Domain Transfer from Fusion Plasma
TokaMind, pre-trained on MAST tokamak data, transfers to power grid PMU data for severe event classification with F1 0.837, where difficulty depends on grid topology and CSD indicators boost early-warning performance over CNN baselines.
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Nigeria Machinery: A Low-Resource Industrial Dataset with a Domain-Grounded Reasoning Layer
A seed dataset of 89 Nigerian machinery indicators plus 94 domain-grounded CoT rows, raising domain-grounded prompts from 1/78 to 94/94 and retrieval fidelity to 84/84.
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Nullspace-based Fault Diagnosis for Closed-Loop Mechatronic Systems with Application to Semiconductor Equipment
Tailored nullspace-based FDI synthesis conditions for closed-loop systems are derived and validated through experiments on a large-scale wafer stage prototype.