Artificial Intelligence Engineering Systems And Sustainable Development
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Artificial Intelligence Engineering Systems And Sustainable Development
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Author : Tulsi Pawan Fowdur
language : en
Publisher: Emerald Group Publishing
Release Date : 2024-01-18
Artificial Intelligence Engineering Systems And Sustainable Development written by Tulsi Pawan Fowdur and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-18 with Business & Economics categories.
An analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs.
Artificial Intelligence Engineering Systems And Sustainable Development
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Author : Tulsi Pawan Fowdur
language : en
Publisher: Emerald Group Publishing
Release Date : 2024-01-18
Artificial Intelligence Engineering Systems And Sustainable Development written by Tulsi Pawan Fowdur and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-18 with Business & Economics categories.
An analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs.
Intelligent And Sustainable Engineering Systems For Industry 4 0 And Beyond
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Author : Tulsi Pawan Fowdur
language : en
Publisher: CRC Press
Release Date : 2025-02-21
Intelligent And Sustainable Engineering Systems For Industry 4 0 And Beyond written by Tulsi Pawan Fowdur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Technology & Engineering categories.
The Fourth Industrial Revolution, Industry 4.0, aims to significantly improve the flexibility, versatility, usability and efficiency of future smart factories. However, the concept of Industry 4.0 is not only limited to the factory but also encompasses the entire life cycle of the product, that is, from production and suppliers, to end users. Industry 4.0 delivers seamless vertical and horizontal integration down the entire value chain and across all layers of the automation pyramid. Industry 4.0 has its roots in a project for the high‐tech strategy of the German Government back in 2011, which led to the progression of cyber-physical systems into cyber-physical production systems (CPPS). CPPS can make intelligent decisions through real‐time communication and cooperation between manufacturing entities. Smart Factory, which is based on CPPS and artificial intelligence (AI), is one of the key associated initiatives of Industry 4.0. This enables flexible production of high‐quality personalized products with mass efficiency. Another important aspect of Industry 4.0 is sustainable engineering systems that can help make its processes align with the United Nations Sustainable Development Goals (UN SDGs). Sustainable and intelligent engineering systems such as 5G, Industrial IoT, robotics and automation, renewable energy, logistics and even intelligent waste management can be the main enablers of Industry 4.0. This is a multidisciplinary book and is meant for anyone with a basic engineering background interested in acquiring a solid foundation in the fundamental concepts and state‐of‐the‐art research trends in Industry 4.0. It explores the application of AI and machine learning as well as sustainable engineering systems, which can be the main drivers for Industry 4.0 and beyond and have a significant impact on the UN SDGs.
Equalizing The Three Pillars Of Sustainability
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Author : David Crowther
language : en
Publisher: Springer Nature
Release Date : 2025-08-09
Equalizing The Three Pillars Of Sustainability written by David Crowther and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-09 with Business & Economics categories.
This book explores the multifaceted concept of sustainability, a term that has become central to global discussions among academics, policymakers, business leaders, and communities. Recognizing sustainability as a critical challenge for the future of our planet and its inhabitants, the book examines its three interconnected pillars: economic, environmental, and social. Among these, the social dimension is highlighted as having potentially the most profound impact on how we live and shape our collective future. Through a series of case studies and analyses, the book investigates actions taken across the globe to address sustainability, emphasizing the diversity of contexts, challenges, and outcomes. It goes beyond simply cataloging efforts, offering a deeper exploration of the conditions under which these initiatives were developed and implemented. The contributors, representing diverse international perspectives, provide valuable insights into local adaptations and global best practices, fostering a rich exchange of ideas and strategies. This book not only captures the current state of sustainability efforts but also reflects on emerging trends and the need for innovative approaches to navigate an ever-changing landscape. By bringing together global expertise, it aims to enrich the sustainability discourse and inspire meaningful progress. It is an essential read for those seeking a nuanced understanding of sustainability and its practical implications across economic systems, environmental stewardship, and societal transformation.
Integration Of Ai Based Manufacturing And Industrial Engineering Systems With The Internet Of Things
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Author : Pankaj Bhambri
language : en
Publisher: CRC Press
Release Date : 2023-12-22
Integration Of Ai Based Manufacturing And Industrial Engineering Systems With The Internet Of Things written by Pankaj Bhambri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with Computers categories.
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments. The potential benefits and challenges associated with the integration of AI and IoT in industrial environments are explored throughout the book as the authors delve into various aspects of the integration process. The role of IoT-enabled sensors, actuators, and smart devices in capturing real-time data from manufacturing processes, supply chains, and equipment is discussed along with how data can be processed and analyzed using AI algorithms to derive actionable insights, optimize production, improve quality control, and enhance overall operational efficiency. A valuable resource for researchers, practitioners, and professionals involved in the fields of AI, IoT, manufacturing systems, and industrial engineering, and combines theoretical foundations, practical applications, and case studies.
Handbook Of Ai Based Mechatronics Systems And Smart Solutions In Industrial Automation
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Author : Pushpalatha Naveenkumar
language : en
Publisher: CRC Press
Release Date : 2025-09-02
Handbook Of Ai Based Mechatronics Systems And Smart Solutions In Industrial Automation written by Pushpalatha Naveenkumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-02 with Technology & Engineering categories.
Artificial intelligence (AI) and mechatronics are booming areas where most of the industrial sectors are becoming smart nowadays. This handbook includes material of multidisciplinary content from the AI, mechanical, and electronics engineering domains, among others. It gives insights into various application sectors discussing current global developments in mechatronics employing AI technology and addressing the complexity of current issues and the effects of diverse mechatronics systems. Handbook of AI-Based Mechatronics Systems and Smart Solutions in Industrial Automation focuses on system automation, predictive analysis, preventive analysis, and real-time decision-making systems for next-generation automation. It discusses the advancements of mechatronics systems using AI applications along with the global approach toward smart industrial automation and presents the impact of AI on today’s work of autonomous and industrial automation. The book discusses future research potential and is beneficial to manufacturing, healthcare, and finance disputes, while it offers AI algorithms to analyze large amounts of data and identifies patterns, trends, and anomalies for accurate predictions and optimization processes. The handbook also addresses use cases and case studies related to AI in mechatronics along with applications. Scholars in the field of AI in mechatronics and related applications will find this book useful. In particular, attention is drawn to both fundamental ideas and important practical contexts. Readers interested in the most recent findings in the field of problem-oriented processing approaches in mechatronics, including those in academia, data science, industry, research, and graduate and undergraduate students, will find this fascinating handbook extremely interesting.
Ethical Decision Making Using Artificial Intelligence
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Author : Sapna Juneja
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-15
Ethical Decision Making Using Artificial Intelligence written by Sapna Juneja 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 2025-07-15 with Computers categories.
Ethical Decision-Making Using Artificial Intelligence: Challenges, Solutions, and Applications gives invaluable insights into the ethical complexities of artificial intelligence, empowering the navigation of critical decisions that shape our future in an era where AI’s influence on society is rapidly expanding. The significant impact of artificial intelligence on society cannot be overstated in a time of lightning-fast technical development and growing integration of AI into our daily lives. A new frontier of human potential has emerged with the development and application of AI technologies, pushing the limits of what is possible in the areas of innovation and efficiency. AI systems are increasingly trusted with complicated decisions that affect our security, well-being, and the fundamental foundation of our societies as they develop in intelligence and autonomy. These choices have substantial repercussions for both individuals and communities in a wide range of fields, including healthcare, finance, criminal justice, and transportation. The necessity for moral direction and deliberate decision-making procedures is critical as AI systems develop and become more independent. Ethical Decision-Making Using Artificial Intelligence: Challenges, Solutions, and Applications examines the complex relationship between artificial intelligence and the moral principles that guide its application. This book addresses fundamental concerns surrounding AI ethics, namely what moral standards ought to direct the creation and use of AI systems. In order to promote responsible AI development that is consistent with human values and goals, this book’s goal is to equip readers with the knowledge and skills they need to traverse the ethical landscape of AI decision-making.
Ai Technologies For Enhancing Recycling Processes
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Author : Mitra, Debasis
language : en
Publisher: IGI Global
Release Date : 2025-01-16
Ai Technologies For Enhancing Recycling Processes written by Mitra, Debasis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-16 with Technology & Engineering categories.
AI technologies revolutionize recycling processes by offering innovative solutions to the challenges of waste management and resource recovery. By utilizing advanced algorithms, machine learning, and computer vision, organizations may enhance sorting accuracy, optimize logistics, and improve the efficiency of recycling systems. Robotics can identify and separate recyclable materials more effectively than traditional methods, reducing contamination and increasing recovery rates. Predictive analytics can streamline operations by anticipating demand and adjusting processing capabilities. Further exploration into the integration of AI in recycling may increase operational performance while supporting current environmental goals and a circular economy. AI Technologies for Enhancing Recycling Processes explores the influential role technologies play in transforming waste management practices and propelling us towards sustainability. It examines the pressing international issue of waste accumulation and critiques the inadequacies inherent in conventional disposal methods, revealing how advancements such as automation, robotics, and state-of-the-art processing methods can revolutionize our approach. This book covers topics such as environmental science, nanotechnology, and sustainability, and is a useful resource for computer engineers, material scientists, environmentalists, business owners, economists, academicians, and researchers.
Driving Socio Economic Growth With Ai And Blockchain
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Author : Gwala, Ranson Sifiso
language : en
Publisher: IGI Global
Release Date : 2025-03-14
Driving Socio Economic Growth With Ai And Blockchain written by Gwala, Ranson Sifiso and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Business & Economics categories.
In an era of rapid technological advancement, artificial intelligence (AI) and blockchain emerge as powerful catalysts for driving socio-economic growth. These innovations reshape industries, streamline processes, and unlock new opportunities for economic development. AI enhances productivity and innovation across sectors like healthcare, finance, and education. Meanwhile, blockchain's decentralized and secure practices transform industries by ensuring transparency, reducing fraud, and enabling efficient transactions. Together, AI and blockchain have the potential to create a more equitable and successful society by fostering inclusive growth, driving job creation, and improving access to essential services. Further exploration into how these technologies are driving socio-economic progress may highlight their impact on global economies and the future of work. Driving Socio-Economic Growth With AI and Blockchain examines the applications of blockchain technology and AI as catalysts for social and economic development. It discusses the use of these technologies in reaching sustainable development goals (SDGs) and increasing global economic growth. This book covers topics such as data science, financial technology, and sociology, and is a useful resource for data scientists, economists, sociologists, computer engineers, academicians, and researchers.
Ai Driven Alzheimer S Disease Detection And Prediction
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Author : Lilhore, Umesh Kumar
language : en
Publisher: IGI Global
Release Date : 2024-08-09
Ai Driven Alzheimer S Disease Detection And Prediction written by Lilhore, Umesh Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Medical categories.
Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management.