Artificial Intelligence, Engineering Systems and Sustainable Development

Artificial Intelligence, Engineering Systems and Sustainable Development
Author: Tulsi Pawan Fowdur
Publisher: Emerald Group Publishing
Total Pages: 305
Release: 2024-01-18
Genre: Business & Economics
ISBN: 183753540X
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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 for Sustainable Development: Theory, Practice and Future Applications

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
Author: Aboul Ella Hassanien
Publisher: Springer Nature
Total Pages: 310
Release: 2020-08-31
Genre: Technology & Engineering
ISBN: 3030519201
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This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Author: Krishna Kumar
Publisher: Academic Press
Total Pages: 418
Release: 2022-03-18
Genre: Science
ISBN: 0323914284
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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum Addresses the advanced field of renewable generation, from research, impact and idea development of new applications

Artificial Intelligence Techniques for Sustainable Development

Artificial Intelligence Techniques for Sustainable Development
Author: Deepika Ghai
Publisher: CRC Press
Total Pages: 0
Release: 2024-12-19
Genre: Computers
ISBN: 9781032774954
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The book aims to increase the efficiency of the algorithms with a lesser number of computations as well as optimize the resources with cost-effective solutions. It further discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications. Some key features of the book are- 1 Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health. 2 Highlights the advancement in electronics and communication technology for green applications. 3 Covers smart energy harvesting/charging and power management techniques using machine learning. 4 Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security. 5 Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.

International Conference on Artificial Intelligence and Sustainable Engineering

International Conference on Artificial Intelligence and Sustainable Engineering
Author: Goutam Sanyal
Publisher: Springer Nature
Total Pages: 555
Release: 2022-05-03
Genre: Technology & Engineering
ISBN: 9811685428
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This book comprises select papers from the International Conference on Artificial Intelligence and Sustainable Engineering (AISE 2020). The volume focuses on the recent advancements in artificial intelligence and addresses how it is useful in achieving truly sustainable solutions. The key strands of this book include artificial intelligence in healthcare, IoT for modern life, security and surveillance, big data analytics, machine learning and computing, communication technologies, gesture technology, virtual intelligence, and audio & speech processing. The book addresses sustainability challenges in various computing techniques and opportunities for sustainable engineering based on AI and supporting tools such as engineering design for sustainable development using IoT/AI, smart cities: waste minimization, remanufacturing, reuse and recycling technologies using IoT/AI, industry 4.0, intelligent and smart grid systems, energy conservation using technology, green engineering/technology, robotic process automation (RPA) and water and air quality management. This book can be a valuable resource for academicians, researchers, and professionals working in AI and its applications.

Sustainable Development in AI, Blockchain, and E-Governance Applications

Sustainable Development in AI, Blockchain, and E-Governance Applications
Author: Kumar, Rajeev
Publisher: IGI Global
Total Pages: 295
Release: 2024-02-09
Genre: Business & Economics
ISBN:
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In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments. Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications.

Developments Towards Next Generation Intelligent Systems for Sustainable Development

Developments Towards Next Generation Intelligent Systems for Sustainable Development
Author: Sharma, Shanu
Publisher: IGI Global
Total Pages: 347
Release: 2024-04-04
Genre: Business & Economics
ISBN:
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The rapid proliferation of connected devices in our daily lives, from smart homes to industrial sensors, has led to an explosion of data that requires processing before it is useful to experts. However, modern devices often have limited resources, making it challenging to decode and utilize this data effectively. Additionally, the need for real-time decision-making further complicates this issue, as traditional data processing methods take far too long to be able to keep up with the required volume and speed. Developments Towards Next Generation Intelligent Systems for Sustainable Development offers a comprehensive solution to these challenges by integrating novel technologies such as AI, edge computing, federated learning, quantum computing, and more. The book shows how intelligent systems can maximize computing power by leveraging these technologies to process large volumes of data efficiently and autonomously and make real-time decisions. The proposed architectures and frameworks focus on real-time analysis, faster decision-making, enhanced privacy, and efficient data processing.

Artificial Intelligence and Sustainability

Artificial Intelligence and Sustainability
Author: Mohamed Ahmed Alloghani
Publisher: Springer Nature
Total Pages: 228
Release: 2023-11-25
Genre: Technology & Engineering
ISBN: 3031452143
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This book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.

AI for the Sustainable Development Goals

AI for the Sustainable Development Goals
Author: Henrik Skaug Sætra
Publisher: CRC Press
Total Pages: 121
Release: 2022-02-23
Genre: Computers
ISBN: 1000542815
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What is artificial intelligence? What are the Sustainable Development Goals (SDGs)? How does AI affect the SDGs? Artificial Intelligence has a real impact on our lives and on our environment, and the Sustainable Development Goals enable us to evaluate these impacts in a systematic manner. This book shows that doing so requires us to understand the context of AI – the infrastructure it is built on, who develops it, who owns it, who has access to it, who uses it, and what it is used for – rather than relying on an isolationist theory of technology. By doing so, we can analyze not only the direct effects of AI on sustainability, but also the indirect – or second-order – effects. AI for the Sustainable Development Goals shows how AI potentially affects all SDGs – both positively and negatively.

Sustainable Intelligent Systems

Sustainable Intelligent Systems
Author: Amit Joshi
Publisher: Springer Nature
Total Pages: 282
Release: 2021-03-06
Genre: Technology & Engineering
ISBN: 9813349018
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This book discusses issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall their impacts on sustainability. It provides an overview of the technologies of future. The book also discusses novel intelligent algorithms and their applications to move from a data-centric world to sustainable world. It includes research paradigms on sustainable development goals and societal impacts. The book provides an overview of cutting-edge techniques toward sustainability and ideas to help researchers who want to understand the challenges and opportunities of using smart management perspective for sustainable society. It serves as a reference to wide ranges of readers from computer science, data analysts, AI technocrats and management researchers.