ppak10/Additive-Manufacturing-Benchmark

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at c98eefe
Licence files: No licence file at the top level of the repositoryEvidence: file list at c98eefe
Declared sources: None listed in the card metadata
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Citation text from the card

@article{akbari_meltpoolnet_2022,
	title = {{MeltpoolNet}: {Melt} pool characteristic prediction in {Metal} {Additive} {Manufacturing} using machine learning},
	volume = {55},
	issn = {2214-8604},
	url = {https://www.sciencedirect.com/science/article/pii/S2214860422002172},
	doi = {10.1016/j.addma.2022.102817},
	journal = {Additive Manufacturing},
	author = {Akbari, Parand and Ogoke, Francis and Kao, Ning-Yu and Meidani, Kazem and Yeh, Chun-Yu and Lee, William and Barati Farimani, Amir},
	month = jul,
	year = {2022},
	pages = {102817},
}

@article{hu_real-time_2024,
	title = {Real-time defect detection for {FFF} {3D} printing using lightweight model deployment},
	volume = {134},
	issn = {1433-3015},
	url = {https://doi.org/10.1007/s00170-024-14452-4},
	doi = {10.1007/s00170-024-14452-4},
	language = {en},
	number = {9},
	journal = {The International Journal of Advanced Manufacturing Technology},
	author = {Hu, WenJing and Chen, Chang and Su, Shaohui and Zhang, Jian and Zhu, An},
	month = oct,
	year = {2024},
	pages = {4871--4885},
}

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dataset_licence({ "id": "ppak10/Additive-Manufacturing-Benchmark" })
signal: "permissive"
stated_licence: "mit"
sources: 0