Intelligence Driven Circular Economy
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Intelligence Driven Circular Economy
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Author : Azzam Hannoon
language : en
Publisher: Springer Nature
Release Date : 2025-01-20
Intelligence Driven Circular Economy written by Azzam Hannoon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-20 with Computers categories.
This book provides a platform for scholars and researchers to present the latest insights and findings on the role of artificial intelligence and smart digital solutions in fostering the circular economy. Additionally, the book shades the lights on the vital role of circular economy in achieving sustainability and social responsibility. It covers a variety of research topics including circular economy, sustainability, AI applications, legislation and regulation, smart cities, social entrepreneurship and AI, digital transformation, knowledge management, and cybersecurity. This edited book serves as a reference and guide to graduate students, researchers, and academics conducting research and taking courses in artificial intelligence, sustainability, and the circular economy.
Intelligence Driven Circular Economy
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Author : Azzam Hannoon
language : en
Publisher: Springer Nature
Release Date : 2025-07-23
Intelligence Driven Circular Economy written by Azzam Hannoon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.
The book provides a groundbreaking examination of how artificial intelligence (AI) can be utilized to contribute towards a sustainable future. This book delves into the intricate relationship between technology, economy, and society, providing a comprehensive framework for understanding the circular economy as a holistic approach to sustainable development. This book aims to offer a comprehensive reference work and coverage of the role of Artificial Intelligence and other advanced digital technologies in the circular economy and resource regeneration towards achieving the United Nation’s 17 sustainable development goals. This book is mainly aimed at academics and researchers who will find in it the knowledge of the support of technology and its contribution to the circular economy, challenges, applications, and solutions to improve. Moreover, this book is aimed at management, industry experts, governments, and policymakers, whereby the book contains helpful examples from practice and applied recommendations. This book is for anyone interested in shaping a sustainable and resilient future. It provides diverse topics for raising awareness about the power of technology in promoting social well-being and economic prosperity.
Intelligence Driven Circular Economy
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Author : Azzam Hannoon
language : en
Publisher: Springer
Release Date : 2024-12-16
Intelligence Driven Circular Economy written by Azzam Hannoon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-16 with Computers categories.
Intelligence Driven Circular Economy
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Author : Azzam Hannoon
language : en
Publisher: Springer
Release Date : 2025-03-17
Intelligence Driven Circular Economy written by Azzam Hannoon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Computers categories.
Circular Economy And Sustainability
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Author : Alexandros Stefanakis
language : en
Publisher: Elsevier
Release Date : 2021-09-14
Circular Economy And Sustainability written by Alexandros Stefanakis and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Science categories.
The concept of circular economy is based on strategies, practices, policies, and technologies to achieve principles related to reusing, recycling, redesigning, repurposing, remanufacturing, refurbishing, and recovering water, waste materials, and nutrients to preserve natural resources. It provides the necessary conditions to encourage economic and social actors to adopt strategies toward sustainability. However, the increasing complexity of sustainability aspects means that traditional engineering and management/economics alone cannot face the new challenes and reach the appropriate solutions. Thus, this book highlights the role of engineering and management in building a sustainable society by developing a circular economy that establishes and protects strong social and cultural structures based on cross-disciplinary knowledge and diverse skills. It includes theoretical justification, research studies, and case studies to provide researchers, practitioners, professionals, and policymakers the appropriate context to work together in promoting sustainability and circular economy thinking. Volume 1, Circular Economy and Sustainability: Management and Policy, discusses the content of circular economy principles and how they can be realized in the fields of economy, management, and policy. It gives an outline of the current status and perception of circular economy at the micro-, meso-, and macro-levels to provide a better understanding of its role to achieve sustainability. Volume 2, Circular Economy and Sustainability: Environmental Engineering, presents various technological and developmental tolls that emphasize the implementation of these principles in practice (micro-level). It demonstrates the necessity to establish a fundamental connection between sustainable engineering and circular economy. - Presents a novel approach linking circular economy concept to environmental engineering and management to promote sustainability goals in modern societies - Approaches the topic of production and consumption at both the micro- and macro-levels, integrating principles with practice - Offers a range of theoretical and foundational knowledge in addition to case studies that demonstrate the potential impact of circular economy principles on economic and societal progress
Waste To Wealth
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Author : Peter Lacy
language : en
Publisher: Springer
Release Date : 2016-04-30
Waste To Wealth written by Peter Lacy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-30 with Business & Economics categories.
Waste to Wealth proves that 'green' and 'growth' need not be binary alternatives. The book examines five new business models that provide circular growth from deploying sustainable resources to the sharing economy before setting out what business leaders need to do to implement the models successfully.
Artificial Intelligence Driven Models For Environmental Management
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Author : Shrikaant Kulkarni
language : en
Publisher: John Wiley & Sons
Release Date : 2025-08-19
Artificial Intelligence Driven Models For Environmental Management written by Shrikaant Kulkarni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Science categories.
Step-by-step guidelines for the development of artificial neural network-based environmental pollution models Artificial Intelligence-Driven Models for Environmental Management delves into the application of AI across a plethora of areas in environmental management, including climate forecasting, natural resource optimization, waste management, and biodiversity conservation. This book shows how AI can help in monitoring, predicting, and mitigating environmental impacts with tremendous accuracy and speed by leveraging machine learning, deep learning, and other data-driven models. The methodologies explored in this volume reflect a synthesis of computational intelligence, data science, and ecological expertise, underscoring how AI-driven systems have been making strides in managing and preserving our planet's natural resources. The text is structured to guide readers through numerous AI models and their practical environmental management applications, showcasing theoretical foundations as well as case studies. This book also addresses the challenges and ethical considerations related to deploying AI in ecological contexts, underscoring the importance of transparency, inclusivity, and alignment with sustainability goals. Sample topics discussed in Artificial Intelligence-Driven Models for Environmental Management include: Tools and methods for monitoring and predicting environmental pollutants faster and more accurately AI technology for the protection of water supplies from contamination to produce healthier foods Use of AI for the evaluation of the impacts of environmental pollution on human health AI and waste management technologies for sustainable agriculture and soil management The role of AI in environmental research and sustainability and key social and economic aspects of natural resource management through AI Artificial Intelligence-Driven Models for Environmental Management is a timely, forward-thinking resource for a diverse readership, including researchers, policymakers, environmental scientists, and AI practitioners.
Ai And Big Data S Potential For Disruptive Innovation
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Author : Strydom, Moses
language : en
Publisher: IGI Global
Release Date : 2019-09-27
Ai And Big Data S Potential For Disruptive Innovation written by Strydom, Moses and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.
Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.
Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11
Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Data Driven Innovation For Intelligent Technology
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Author : Hiram Ponce
language : en
Publisher: Springer Nature
Release Date : 2024-04-16
Data Driven Innovation For Intelligent Technology written by Hiram Ponce and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-16 with Computers categories.
This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others. This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.