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Artificial Intelligence Iot And Fuzzy Systems For Sustainable Development And Industry 5 0


Artificial Intelligence Iot And Fuzzy Systems For Sustainable Development And Industry 5 0
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Artificial Intelligence Iot And Fuzzy Systems For Sustainable Development And Industry 5 0


Artificial Intelligence Iot And Fuzzy Systems For Sustainable Development And Industry 5 0
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Author : Sayed Abdulhayan
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-19

Artificial Intelligence Iot And Fuzzy Systems For Sustainable Development And Industry 5 0 written by Sayed Abdulhayan and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.


In an era where sustainability is paramount, technology emerges as a critical driver for transformative change across industries. This book explores cutting-edge technological innovations that support sustainable development and align with global goals. Beginning with fuzzy systems in industrial engineering, we delve into intelligent approaches that optimize complex processes. The following chapters examine broader technological innovations fostering sustainability, green strategies in evolving supply chains and e-commerce aligned with SDG 9, and advanced technologies such as IoT, AI, and blockchain revolutionizing sustainable farming practices. This comprehensive compilation aims to inspire researchers, practitioners, and policymakers to harness innovative technologies for building resilient, eco-friendly systems that meet present needs without compromising the future.



Ai Powered Iot In The Energy Industry


Ai Powered Iot In The Energy Industry
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Author : S. Vijayalakshmi
language : en
Publisher: Springer Nature
Release Date : 2023-04-05

Ai Powered Iot In The Energy Industry written by S. Vijayalakshmi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-05 with Technology & Engineering categories.


AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. ​Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models.



Sustainable Development In The Digital Era


Sustainable Development In The Digital Era
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Author : Leonilde Varela
language : en
Publisher: CRC Press
Release Date : 2025-08-26

Sustainable Development In The Digital Era written by Leonilde Varela and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-26 with Business & Economics categories.


Collaborative manufacturing and management are a fundamental requirement in today’s digital age, to enable an innovative and sustainable development of companies. This is possible and highly recommended not just in the context of traditional companies, but further in cyber physical systems and in the context of extended, distributed, networked and virtual organizations. The book provides fundamental methodologies, models, methods, tools, and platforms about collaborative engineering, to support manufacturing and management processes and practices, aligned with the current requirements underlying Industry 4.0, and Society 5.0. It describes the application of collaborative management paradigms, about dynamic, distributed, integrated, intelligent, predictive, parallel, and real-time based approaches and tools to enable collaborating entities, including suppliers, business partners and other stakeholders, to develop projects and solve problems that are becoming increasingly more complex and challenging currently. Such collaborative processes and practices require companies and underlying stakeholders to be connected, and to further communicate, and share data, problems, and expertise, and other kind of resources, along with concerns, difficulties, and challenges, requiring co-learning, and the co-creation of knowledge, processes, methods, and systems to interactively support projects and problem solving. The book reviews the advances and provides case studies to assist scientists, practitioners and students in high standard manufacturing management processes and practices, to properly handle daily problems and challenges, with a special focus on the use of recent paradigms and tools to support manufacturing management decision making, through innovative methodologies and approaches for permitting researchers to learn, develop further work, and become advanced practitioners and promoters of collaborative management.



Integration Of Ai Based Manufacturing And Industrial Engineering Systems With The Internet Of Things


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.



Explainable Ai Xai For Sustainable Development


Explainable Ai Xai For Sustainable Development
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Author : Lakshmi D
language : en
Publisher: CRC Press
Release Date : 2024-06-26

Explainable Ai Xai For Sustainable Development written by Lakshmi D and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-26 with Technology & Engineering categories.


This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. • Focuses on virtual machine placement and migration techniques for cloud data centres • Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services • Includes application of placement techniques for quality of service, performance, and reliability improvement • Explores data centre resource management, load balancing and orchestration using machine learning techniques • Analyses dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.



Artificial Intelligence In Industry 4 0


Artificial Intelligence In Industry 4 0
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Author : Alexiei Dingli
language : en
Publisher: Springer Nature
Release Date : 2021-02-27

Artificial Intelligence In Industry 4 0 written by Alexiei Dingli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-27 with Technology & Engineering categories.


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.



Ai Edge And Iot Based Smart Agriculture


Ai Edge And Iot Based Smart Agriculture
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Author : Ajith Abraham
language : en
Publisher: Academic Press
Release Date : 2021-11-10

Ai Edge And Iot Based Smart Agriculture written by Ajith Abraham and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Technology & Engineering categories.


AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. - Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management - Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection - Promotes the importance and uses in managing the agro ecosystem for food security - Emphasizes low energy usage options for low cost and environmental sustainability



A Roadmap To Industry 4 0 Smart Production Sharp Business And Sustainable Development


A Roadmap To Industry 4 0 Smart Production Sharp Business And Sustainable Development
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Author : Anand Nayyar
language : en
Publisher: Springer Nature
Release Date : 2019-11-27

A Roadmap To Industry 4 0 Smart Production Sharp Business And Sustainable Development written by Anand Nayyar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-27 with Technology & Engineering categories.


Business innovation and industrial intelligence are paving the way for a future in which smart factories, intelligent machines, networked processes and Big Data are combined to foster industrial growth. The maturity and growth of instrumentation, monitoring and automation as key technology drivers support Industry 4.0 as a viable, competent and actionable business model. This book offers a primer, helping readers understand this paradigm shift from industry 1.0 to industry 4.0. The focus is on grasping the necessary pre-conditions, development & technological aspects that conceptually describe this transformation, along with the practices, models and real-time experience needed to achieve sustainable smart manufacturing technologies. The primary goal is to address significant questions of what, how and why in this context, such as:What is Industry 4.0?What is the current status of its implementation?What are the pillars of Industry 4.0?How can Industry 4.0 be effectively implemented?How are firms exploiting the Internet of Things (IoT), Big Data and other emerging technologies to improve their production and services?How can the implementation of Industry 4.0 be accelerated?How is Industry 4.0 changing the workplace landscape?Why is this melding of the virtual and physical world needed for smart production engineering environments?Why is smart production a game-changing new form of product design and manufacturing?



The Convergence Of Self Sustaining Systems With Ai And Iot


The Convergence Of Self Sustaining Systems With Ai And Iot
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Author : Rajappan, Roopa Chandrika
language : en
Publisher: IGI Global
Release Date : 2024-04-26

The Convergence Of Self Sustaining Systems With Ai And Iot written by Rajappan, Roopa Chandrika and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Business & Economics categories.


Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.



Artificial Intelligence In Environmental Engineering And Ecology Towards Smart And Sustainable Cities


Artificial Intelligence In Environmental Engineering And Ecology Towards Smart And Sustainable Cities
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Author : Ketan Kotecha
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-26

Artificial Intelligence In Environmental Engineering And Ecology Towards Smart And Sustainable Cities written by Ketan Kotecha and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Science categories.


The ever-growing world population is over-stressing the available resources leading to several social, economic, and environmental issues. The world is facing challenges related to the availability of food, housing, water, and infrastructure. The solutions to sustainability crises require unraveling complex interactions that do not fit neatly into a single discipline. Keeping in view the sustainable development goals which are considered a blueprint for a better and more sustainable future, interdisciplinary research in civil and environmental engineering is of utmost important. The interdisciplinary research tackles the demands of the growing population of urban agglomerates. Designing interdisciplinary solutions for achieving sustainable development goals including Sustainable Cities and Communities; Affordable and Clean Energy; Clean Water and Sanitation; Responsible Consumption and Production; Industry, Innovation, and Infrastructure; Climate Action is the need of the hour. The interdisciplinary research in environmental sustainability can convert real-world complexities such as space dynamics and pressure on cities, sustainable infrastructure, smart transport, smart buildings, climate changes, air pollutant dispersion and pollution, contaminant transport through air water, and soil, ocean dynamics, life below water, and effect of contamination on flora and fauna and more, into predictable models using Artificial Intelligence (AI). The primary objective of this research topic is to consolidate research and application of Artificial Intelligence in environmental engineering, aiming toward smart and sustainable cities. Highlighting AI-based solutions and models across environmental engineering and sustainability, in particular for smart and sustainable cities, is the prime objective of the proposed research topic. The issue will welcome multidisciplinary/ interdisciplinary approaches to provide solutions to current pressing problems of cities from an engineering perspective.