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2022•Zenodo (CERN European Organization for Nuclear Research)Open access

Nesting Tasks Dataset for 2D-Nesting Efficiency Estimation

Corentin Lallier, Laurent Vézard, Bruno Pinaud, Guillaume Blin

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Abstract

Nesting efficiency dataset This is the raw dataset associated with the paper “Graph Neural Networks Comparison for 2D-Nesting Efficiency Estimation”, by C.Lallier, L. Vézard, B. Pinaud and G. Blin, 2022. Consisting of 100,000 nesting tasks. Usage: tasks.gz parts.gz constraints.gz shapes.gz

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What this paper is about

Nesting efficiency dataset This is the raw dataset associated with the paper “Graph Neural Networks Comparison for 2D-Nesting Efficiency Estimation”, by C.Lallier, L. Vézard, B. Pinaud and G. Blin, 2022. Consisting of 100,000 nesting tasks. Usage: tasks.gz parts.gz constraints.gz shapes.gz

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Available abstract

Nesting efficiency dataset This is the raw dataset associated with the paper “Graph Neural Networks Comparison for 2D-Nesting Efficiency Estimation”, by C.Lallier, L. Vézard, B. Pinaud and G. Blin, 2022. Consisting of 100,000 nesting tasks. Usage: tasks.gz parts.gz constraints.gz shapes.gz

Key concepts: Nesting (process), Estimation, Computer science, Ecology, Biology, Engineering, Systems engineering, Mechanical engineering

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