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pro vyhledávání: '"Ghahremani, Arash"'
There is growing importance to detecting faults and implementing the best methods in industrial and real-world systems. We are searching for the most trustworthy and practical data-based fault detection methods proposed by artificial intelligence app
Externí odkaz:
http://arxiv.org/abs/2301.04049
Autor:
Erfani, Armin1, Ghahremani, Arash Izadpanah2, Soleimantabar, Hussein3, Nazari, Maryam4, Alipoor, Mina5 alipoormina22@yahoo.com
Publikováno v:
Journal of Parathyroid Disease. 2023, Vol. 11 Issue 1, p1-3. 3p.
Autor:
Gharebakhshi, Farshad, Taklif, Mohammad Hossein, Ghahremani, Arash Izadpanah, Khaledi, Mohamad, Abbasian, Sara, Shariati Sough, Seyedeh Mahsa, Torfi, Fatemeh Vashahi, Khodabandeh, Hamidreza, Hajian, Elnaz
Publikováno v:
Journal of Nephropathology; Jan2024, Vol. 13 Issue 1, p1-9, 9p
Publikováno v:
IET Collaborative Intelligent Manufacturing; Sep2023, Vol. 5 Issue 3, p1-11, 11p