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Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing
Mustafa Mamduh Mustafa Awd ; Mustafa Mamduh Mustafa Awd
Werkstofftechnische Berichte │ Reports of Materials Science and Engineering ISBN: 9783658402365

Buch
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4

Feature Papers in Eng 2023
Gil Bravo, Antonio

cooperative intelligent... digital agriculture smart farming digital health eHealth/mHealth honeycomb …
E-Book
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6

Review on machine learning techniques for the assessment of the fatigue response of additively manufactured metal parts
Alessio Centola ; Andrea Tridello ; Alberto Ciampaglia ; et al.
Fatigue & Fracture of Engineering Materials & Structures. 47:2700-2729

0203 mechanical engineer... 02 engineering and techn... 0210 nano-technology additive manufacturing artificial neural networ... fatigue …
Fachzeitschrift
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7

A novel machine learning-based approach for in-situ surface roughness prediction in laser powder-bed fusion
Toorandaz, Sahar ; Taherkhani, Katayoon ; Liravi, Farima ; et al.
In Additive Manufacturing 5 July 2024 91

Fachzeitschrift
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8

Tailoring the mechanical properties of 3D microstructures: A deep learning and genetic algorithm inverse optimization framework
Shang, Xiao ; Liu, Zhiying ; Zhang, Jiahui ; et al.
In Materials Today November 2023 70:71-81

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9

Smart Design of Hip Replacement Prostheses Using Additive Manufacturing and Machine Learning Techniques
Milone D. ; D'Andrea D. ; Santonocito D.
Prosthesis. 6:24-40

0203 mechanical engineer... 02 engineering and techn... finite element analysis,... 0210 nano-technology 3. Good health
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10

Smart Design of Hip Replacement Prostheses Using Additive Manufacturing and Machine Learning Techniques.
Milone, Dario ; D'Andrea, Danilo ; Santonocito, Dario
Prosthesis (2673-1592); Feb2024, Vol. 6 Issue 1, p24-40, 17p

ITALY COMPUTER simulation TOTAL hip replacement RESEARCH evaluation HIP joint GAIT in humans …
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11

Automated Testing and Characterization of Additive Manufacturing (ATCAM)
Mazhari, Arash Alex ; Ticknor, Randall ; Swei, Sean ; et al.
Journal of Materials Engineering and Performance. :1-12

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12

Balanced asphalt mix design and pavement distress predictive models based on machine learning
Liu, Jian ; Civil and Environmental Engineering ; Wang, Linbing ; et al.

Data processing Pavement distress LTPP 11. Sustainability Machine learning Data-driven …
Dissertation
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13

Bayesian Inferences of Fatigue-related Influences
Mamduh Mustafa Awd, Mustafa
Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing ; Werkstofftechnische Berichte │ Reports of Materials Science and Engineering ; page 181-204 ; ISSN 2524-4809 2524-4817 ; ISBN 9783658402365 9783658402372

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14

Use of artificial intelligence in leadership competency development and selection: An empirical study.
Bronkhorst, Pieter Viljoen ; Becker, Jurgen
Consulting Psychology Journal: Practice and Research

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15

Summary and Outlook
Mamduh Mustafa Awd, Mustafa
Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing ; Werkstofftechnische Berichte │ Reports of Materials Science and Engineering ; page 205-217 ; ISSN 2524-4809 2524-4817 ; ISBN 9783658402365 9783658402372

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16

Training and Testing Data
Mamduh Mustafa Awd, Mustafa
Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing ; Werkstofftechnische Berichte │ Reports of Materials Science and Engineering ; page 39-95 ; ISSN 2524-4809 2524-4817 ; ISBN 9783658402365 9783658402372

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17

Estimation of Lifetime Trends Based on FEM
Mamduh Mustafa Awd, Mustafa
Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing ; Werkstofftechnische Berichte │ Reports of Materials Science and Engineering ; page 97-179 ; ISSN 2524-4809 2524-4817 ; ISBN 9783658402365 9783658402372

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18

Introduction and Objectives
Mamduh Mustafa Awd, Mustafa
Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing ; Werkstofftechnische Berichte │ Reports of Materials Science and Engineering ; page 1-5 ; ISSN 2524-4809 2524-4817 ; ISBN 9783658402365 9783658402372

Buch
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19

Background on Process-Property Relationship
Mamduh Mustafa Awd, Mustafa
Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing ; Werkstofftechnische Berichte │ Reports of Materials Science and Engineering ; page 7-38 ; ISSN 2524-4809 2524-4817 ; ISBN 9783658402365 9783658402372

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20

THE ROLE OF ENERGY DISSIPATION, SUPERELASTICITY, AND SHAPE MEMORY EFFECTS IN ARCHITECTED MATERIALS FOR ENGINEERING APPLICATIONS
Kristiaan Hector

Architectural engineerin... Structural engineering architected materials cellular materials PXCM ASMA …
Dissertation
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