explainable artificial intelligence sustainable (27 risultati)

Buch. Condizione: Neu. Neuware - Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered, model-agnostic Shapley Additive Explanations (SHAP) techniques, such as summary plots and force plots (primary layer of explainability), and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.Perfect for engineers, researchers, and policymakers, it turns complex predictions into practical solutions for a sustainable future.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Hardcover. Condizione: Brand New. 330 pages. 9.18x6.12x9.45 inches. In Stock.

Condizione: New.

Paperback. Condizione: new. Paperback. Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered, model-agnostic Shapley Additive Explanations (SHAP) techniques, such as summary plots and force plots (primary layer of explainability), and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.Perfect for engineers, researchers, and policymakers, it turns complex predictions into practical solutions for a sustainable future. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered, model-agnostic Shapley Additive Explanations (SHAP) techniques, such as summary plots and force plots (primary layer of explainability), and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.Perfect for engineers, researchers, and policymakers, it turns complex predictions into practical solutions for a sustainable future. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered, model-agnostic Shapley Additive Explanations (SHAP) techniques, such as summary plots and force plots (primary layer of explainability), and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.Perfect for engineers, researchers, and policymakers, it turns complex predictions into practical solutions for a sustainable future. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered, model-agnostic Shapley Additive Explanations (SHAP) techniques, such as summary plots and force plots (primary layer of explainability), and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.Perfect for engineers, researchers, and policymakers, it turns complex predictions into practical solutions for a sustainable future. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered, model-agnostic Shapley Additive Explanations (SHAP) techniques, such as summary plots and force plots (primary layer of explainability), and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.Perfect for engineers, researchers, and policymakers, it turns complex predictions into practical solutions for a sustainable future. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered, model-agnostic Shapley Additive Explanations (SHAP) techniques, such as summary plots and force plots (primary layer of explainability), and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.Perfect for engineers, researchers, and policymakers, it turns complex predictions into practical solutions for a sustainable future. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condizione: new. Hardcover. This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UNs Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation.It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energythe book demonstrates XAIs transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability.This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.The Open Access version of this book, available at , has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license. This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UNs SDGs, offering insights into its potential for responsible innovation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UNs Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation.It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energythe book demonstrates XAIs transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability.This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.The Open Access version of this book, available at , has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license. This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UNs SDGs, offering insights into its potential for responsible innovation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. PRINT ON DEMAND.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UN's SDGs, offering insights into its potential for responsible innovation.

Hardcover. Condizione: new. Hardcover. This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UNs Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation.It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energythe book demonstrates XAIs transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability.This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.The Open Access version of this book, available at , has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license. This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UNs SDGs, offering insights into its potential for responsible innovation. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.