£126.99

Elsevier Machine Learning Applications in Industrial Solid Ash

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Description

Machine Learning Applications in Industrial Solid Ash is a comprehensive guide published by Elsevier that explores the intersection of machine learning and solid ash management. This book begins with fundamental concepts in solid ash, examining the current status of solid ash generation and management practices. It then provides essential foundational knowledge on applying machine learning techniques to solid ash management challenges. The text progresses to detailed discussions of practical machine learning approaches used to address real-world problems in solid ash management and recycling, including solid ash generation prediction, clustering analysis, origin identification, reactivity prediction, leaching potential modelling, and metal recovery evaluation. Whether you are an engineer, researcher, or professional working in civil engineering or waste management, this reference offers evidence-based strategies for leveraging machine learning to improve solid ash handling and resource recovery processes.

Key Features

Covers fundamentals of solid ash generation and current management practices across industrial applications.

Provides foundational knowledge on machine learning techniques specifically adapted for solid ash management.

Discusses machine learning approaches to clustering analysis, origin identification, and reactivity prediction in solid ash.

Addresses leaching potential modelling and metal recovery evaluation using advanced machine learning methods.

Part of the Woodhead Publishing Series in Civil and Structural Engineering, offering peer-reviewed research content.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 December 2023
Listed Since
14 June 2023

Barcode

No barcode data available

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