Machine Learning Applications in Industrial Solid Ash

Chongchong Qi, Qiusong Chen, Erol Yilmaz (Autoren)

Buch | Softcover

314 Seiten

2023
Elsevier - Health Sciences Division (Verlag)
978-0-443-15524-6 (ISBN)

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Machine Learning Applications in Industrial Solid Ash begins with fundamentals in solid ash, covering the status of solid ash generation and management. The book moves on to foundational knowledge on ML in solid ash management, which provides a brief introduction of ML for solid ash applications. The reference then goes on to discuss ML approaches currently used to address problems in solid ash management and recycling, including solid ash generation, clustering analysis, origin identification, reactivity prediction, leaching potential modelling and metal recovery evaluation, etc. Finally, potential future trends and challenges in the field are discussed. Offering the ability to process large or complex datasets, machine learning (ML) holds huge potential to reshape the whole status for solid ash management and recycling. This book is the first published book about ML in solid ash management and recycling. It highlights fundamental knowledge and recent advances in this topic, offering readers new insight into how these tools can be utilized to enhance their own work.

Chongchong Qi is a professor in School of Resources and Safety Engineering at the Central South University. Prof. Qi’s research and writing is focused in the areas of solids waste management in the mining industry, innovative strategies for solids waste reusing and recycling, artificial intelligence, and its applications in the mining. With more than 70 high-quality SCI papers being published, Prof. Qi announces the idea of ‘intelligent design system for backfill mining’. He serves on various international committees and works as the editorial board member for three SCI journals. Prof. Qi also received various funds home and abroad for the innovative application of AI in the mining industry.

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

Erscheinungsdatum	12.12.2023
Reihe/Serie	Woodhead Publishing Series in Civil and Structural Engineering
Verlagsort	Philadelphia
Sprache	englisch
Maße	152 x 229 mm
Gewicht	510 g
Themenwelt	Technik ► Bauwesen
ISBN-10	0-443-15524-0 / 0443155240
ISBN-13	978-0-443-15524-6 / 9780443155246
Zustand	Neuware