مواد پایدار: نقش هوش مصنوعی و یادگیری ماشین ۲۰۲۴
Sustainable Materials: The Role of Artificial Intelligence and Machine Learning 2024

1. Cover Page

2. Title Page

3. Copyright Page

4. Preface

5. Contents

6. Chapter 1 Artificial Intelligence in Material Science

7. Chapter 2 Data Driven Artificial Intelligence Based Approach for the Determination of Structural Stress Distribution in ASTM D3039 Tensile Specimens of Carbon-Epoxy and Kevlar-Epoxy Based Composite Materials

8. Chapter 3 Image Segmentation for Evaluating the Microstructure Features obtained from Magnesium Composites Processed through Squeeze Casting

9. Chapter 4 Experimental Investigation of Bagasse Ash in Concrete Material

10. Chapter 5 Computational Material Science for Cheminformatics Feature Descriptive Language (CFDL) with Categorical Data

11. Chapter 6 Explicit Dynamic Crash Analysis of a Car Using a Metal, Composite Material and an Alloy

12. Chapter 7 Optimizing Friction Stir Spot Welded ABS Weld Strength Using JAYA and Cohort Intelligence Algorithm

13. Chapter 8 Supervised Machine Learning Based Classification of Dimensional Deviation of FDM 3D Printed Samples

14. Chapter 9 Polymer Composite Flexural Strength Estimation using K-Nearest Neighbouring Classification Algorithm

15. Chapter 10 Supervised Machine Learning Based Classification of Surface Roughness of Fused Deposition Modeling 3D Printed Samples

16. Chapter 11 Polymer Composite Impact Strength Estimation using K-Nearest Neighbouring Classification Algorithm

17. Index