Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0

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Sustainable Futures With Life Cycle Assessment in Industry 5.0

As Industry 5.0 prioritizes human-centric, sustainable, and resilient production, life cycle assessment plays a crucial role in evaluating environmental impacts across industries. By integrating life cycle assessment, businesses can make data-driven decisions to reduce waste, optimize resource use, and minimize carbon footprints. This approach supports the transition toward circular economies, ensuring that technological advancements align with ecological responsibility. As sustainability becomes a global priority, life cycle assessment empowers industries, policymakers, and consumers to drive meaningful change toward a more sustainable future. Sustainable Futures With Life Cycle Assessment in Industry 5.0 explores life cycle assessment in Industry 5.0, emphasizing sustainable production, resource optimization, and environmental impact reduction. Through expert insights and case studies, it provides a comprehensive guide for integrating life cycle assessment into next-generation industrial practices to drive sustainability and innovation. Covering topics such as recommendation systems, community product marketing, and currency exchange rates, this book is an excellent resource for economists, business leaders, computer scientists, professionals, researchers, scholars, academicians, and more.
Artificial Intelligence in Industry 4.0

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.
Public Governance Practices in the Age of AI

Advances in digital technology have driven public administration from new public administration (public administration 3.0) to digital public administration (public administration 4.0). In the same way, advances in artificial intelligence (AI) technology have driven digital public administration (public administration 4.0) into super smart society (public administration 5.0). With official recognition of its existence as a separate era, it can be said that AI is an important condition causing significant changes to public administration. Therefore, understanding it both in theory and in practice is very important. Public Governance Practices in the Age of AI explores the evolution of public administration in the digital age, highlighting the shift from traditional governance models to AI-driven public administration 5.0. It examines the transformative role of artificial intelligence in shaping policies, decision-making, and service delivery, offering insights into both theoretical frameworks and practical applications. Covering topics such as local administrative organizations, public participation, and global digital education, this book is an excellent resource for public administrators, public managers, educators, researchers, professionals, scholars, academicians, and more.