المؤلفون: Varsini, V. Raaga, Lakshmi, S. Abitha, Devarshi, Gokul, B.

المصدر: International Journal of Research in Engineering, Science and Management, 7(4), 162-165, (2024-04-29)

مصطلحات موضوعية: Defect Density Prediction, Data Sparsity, Machine Learning

Relation: https://zenodo.org/communities/ijresm; https://doi.org/10.5281/zenodo.11085951; https://doi.org/10.5281/zenodo.11085952; oai:zenodo.org:11085952

الاتاحة: https://doi.org/10.5281/zenodo.11085952

المؤلفون: Firas Alghanim, Mohammad Azzeh, Ammar El-Hassan, Hazem Qattous

المصدر: IEEE Access, Vol 10, Pp 114629-114641 (2022)

مصطلحات موضوعية: Defect density prediction, deep learning, data sparsity, machine learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9931128/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/e36d56bf53954db4bc8436595baed199

المؤلفون: Aydın, Anıl

المساهمون: Tarhan, Ayça

مصطلحات موضوعية: Defect density prediction

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1f90800b93a08cec000780bb87ba160a
http://hdl.handle.net/11655/2624