‪Mahsa Hejazian‬ - ‪Google Scholar‬

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2022202320242 8 1

Co-authors

Siamak PedrammehrInstitute for Intelligent Systems Research and Innovation, Deakin UniversityVerified email at tabriziau.ac.ir
sajjad pakzadFaculty of Islamic Design, Tabriz Islamic Art UniversityVerified email at tabriziau.ac.ir

Mahsa Hejazian

Mahsa Hejazian

phd student, tabriz university

Verified email at tabrizu.ac.ir

signal processing damage detection vibration AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machine learning-based modelling and meta-heuristic-based optimization of specific tool wear and surface roughness in the milling process S Pedrammehr, M Hejazian, MR Chalak Qazani, H Parvaz, S Pakzad, ... Axioms 11 (9), 430, 2022	7	2022
A study on the beech wood machining parameters optimization using response surface methodology S Pakzad, S Pedrammehr, M Hejazian Axioms 12 (1), 39, 2022	3	2022
Study on the Beech Wood Machining Parameters Optimization Using Response Surface Methodology. Axioms 2023, 12, 39 S Pakzad, S Pedrammehr, MA Hejazian	1	2022
Damage Detection of Gantry Crane with a Moving Mass Using Artificial Neural Network M Safaei, M Hejazian, S Pedrammehr, S Pakzad, MM Ettefagh, M Fotouhi Buildings 14 (2), 458, 2024		2024

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