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Mahsa Tajdari
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Hierarchical deep learning neural network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering
S Saha, Z Gan, L Cheng, J Gao, OL Kafka, X Xie, H Li, M Tajdari, HA Kim, ...
Computer Methods in Applied Mechanics and Engineering 373, 113452, 2021
1112021
Clustering discretization methods for generation of material performance databases in machine learning and design optimization
H Li, OL Kafka, J Gao, C Yu, Y Nie, L Zhang, M Tajdari, S Tang, X Guo, ...
Computational Mechanics 64, 281-305, 2019
962019
Image-based modelling for adolescent idiopathic scoliosis: mechanistic machine learning analysis and prediction
M Tajdari, A Pawar, H Li, F Tajdari, A Maqsood, E Cleary, S Saha, ...
Computer methods in applied mechanics and engineering 374, 113590, 2021
622021
Discrete time delay feedback control of stewart platform with intelligent optimizer weight tuner
F Tajdari, M Tajdari, A Rezaei
2021 IEEE International Conference on Robotics and Automation (ICRA), 12701 …, 2021
242021
Numerical study of smoothed particle hydrodynamics method in orthogonal cutting simulations–Effects of damage criteria and particle density
B Takabi, M Tajdari, BL Tai
Journal of Manufacturing Processes 30, 523-531, 2017
242017
Regularizing biomechanical maps for partially known material properties
Y Mei, M Tajderi, S Goenezen
International Journal of Applied Mechanics 9 (02), 1750020, 2017
212017
Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks
M Tajdari, F Tajdari, P Shirzadian, A Pawar, M Wardak, S Saha, C Park, ...
Engineering with Computers 38 (5), 4061-4084, 2022
172022
2d to 3d volumetric reconstruction of human spine for diagnosis and prognosis of spinal deformities
M Tajdari, F Tajdari, A Pawar, J Zhang, WK Liu
Conference: 16th US national congress on computational mechanics, 2021
82021
Modeling of brittle and ductile materials drilling using smoothed-particle hydrodynamics
M Tajdari, BL Tai
International Manufacturing Science and Engineering Conference 49903 …, 2016
82016
Artificial intelligence data-driven 3D model for AIS
M Tajdari, A Maqsood, H Li, S Saha, JF Sarwark, WK Liu
Research into Spinal Deformities 9, 141-145, 2021
32021
Modeling of Brittle and Ductile Material Drilling Using Smoothed-Particle Hydrodynamics
M Tajdari
22016
Bio-Informed Image-Based Deep Learning Frameworks for Prognosis of Pediatric Spinal Deformities
M Tajdari
Northwestern University, 2022
2022
Research objective
H LI, M TAJDARI
Strain 2800, 3100, 2019
2019
Introduction to mechanistic data-driven methods for engineering, mechanical science and mechanics of materials: difficulties in purely data-driven approaches for machine …
H Li, M Tajdari, S Mojumder, S Saha, P Cheng, OL Kafka, J Gao, C Yu, ...
2019
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Artikelen 1–14