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Rajani H
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Rajani H
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Rajani H
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1
Can a Black‐Box AI Replace Costly DMA Testing?—A Case Study on Prediction and Optimization of Dynamic Mechanical Properties of 3D Printed Acrylonitrile Butadiene Styrene
by
Milani, A.S
,
Vahed, R.
,
Zareie
Rajani
,
H
.R
Published 2022
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Article
2
Effect of age, sex, and refractive errors on central corneal thickness measured by Oculus Pentacam®
by
Hashmani N
,
Hashmani S
,
Hanfi AN
,
Ayub M
,
Saad CM
,
Rajani
H
,
Muhammad MG
,
Aziz M
Published 2017-06-01
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Article
3
Comparison of visual acuity, refractive outcomes, and satisfaction between LASIK performed with a microkeratome and a femto laser
by
Hashmani S
,
Hashmani N
,
Rajani
H
,
Ramesh P
,
Soomro JA
,
Hussain Shah SR
,
Kumar J
,
Mahmood Shah SM
Published 2017-05-01
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Related Subjects
3-D printing
3D-printing
ABS resins
Acrylonitrile-butadiene-styrene
Black boxes
Butadiene
Case-studies
Complex networks
Deposition
Digital storage
Dynamic mechanical property
Experimental optimization
Fused Deposition Modeling
Heuristic methods
Neural networks
Non linear
Optimisations
Particle Swarm Optimization
Particle swarm optimization (PSO)
Process parameters
Styrene
Viscoelasticity
acrylonitrile butadiene styrene
additive manufacturing
artificial neural networks
dynamic mechanical properties
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