Machine Learning Applications in Industrial Solid Ash

ISBN-13: 9780443155246 / Miękka / 2023 / 270 str.

Erol Yilmaz

Spis treści

Part I :  Industrial Solid Ashes 1. Background of industrial soild ashes 2. Current strategies  for solid ash management and recycling

Part II: Machine Learning Modelling 3. Historical background of ML 4. Introduction to ML techniques 5. ML modelling methodology

Part III : Application of ML in solid ash management and recycling 6. Physiochemical properties of solid ash and clustering analysis 7. Accurate estimation of the solid ash generation 8. Evaluation of the trace elements pollution of coal fly ash using ML techniques 9. Metal recovery prediction using random forest 10. Rapid identification of amourphous phases in solid ash 11. Reactivity classification of solid ash using ML techniques 12. Forecast of uniaxial compressive strength of solid ash-based concrete

Part IV : Future perspectives and challenges to adopting ML in solid ash management and recycling 13. Future perspective and opportunities in ML for solid ash management and recycling 14. Challenges to adopting ML in solid ash management and recycling