A Unified Hierarchical Multi-Task Multi-Fidelity Framework for Data-Efficient Surrogate Modeling in Manufacturing | ScienceToStartup | ScienceToStartup

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References (48)

[1]

Predicting aircraft assembly gaps considering structural deformation: A CGAN-based surrogate modeling approach

2026Haorui Sun, Yifan Zhang et al.

[2]

Multi-fidelity digital twin based optimization for aircraft overhaul shop scheduling

2025Mengnan Liu, Shuiliang Fang et al.

[3]

Predicting Corrosion in Multi-Material System Using Hybrid Multi-Task Learning

Founder's Pitch

"A novel hierarchical framework for data-efficient surrogate modeling in manufacturing that improves prediction accuracy across tasks and fidelity levels."

Surrogate Modeling•Score: 6•View PDF ↗

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A Unified Hierarchical Multi-Task Multi-Fidelity Framework for Data-Efficient Surrogate Modeling in Manufacturing

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References (48)

Founder's Pitch

"A novel hierarchical framework for data-efficient surrogate modeling in manufacturing that improves prediction accuracy across tasks and fidelity levels."

Commercial Viability Breakdown

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Disruption

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