Machine Learning Applications in Industrial Solid Ash (Woodhead Publishing Series in Civil and Structural Engineering)
Language: English
Published by Elsevier, 2023
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
Seller Inventory # ria9780443155246_new
- Title
- Machine Learning Applications in Industrial Solid Ash (Woodhead Publishing Series in Civil and Structural Engineering)
- Author
- Qi, Chongchong; Chen, Qiusong; Yilmaz, Erol
- Publisher
- Elsevier
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0443155240
- ISBN 13
- 9780443155246
- Item weight
- 630 grams
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.
- Helps readers increase their existing knowledge on data mining and ML
- Teaches how to apply ML techniques that work best in solid ash management and recycling through providing illustrative examples and complex practice solutions
- Provides an accessible introduction to the current state and future possibilities for ML in solid ash management and recycling
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Ria Christie Collections
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