Machine Learning For Sustainable Development
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Machine Learning For Sustainable Development
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Author : Kamal Kant Hiran
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-07-19
Machine Learning For Sustainable Development written by Kamal Kant Hiran and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Computers categories.
The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.
Artificial Intelligence And Machine Learning For Sustainable Development
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Author : Pawan Whig
language : en
Publisher:
Release Date : 2025
Artificial Intelligence And Machine Learning For Sustainable Development written by Pawan Whig and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Artificial intelligence categories.
"AI and ML for Sustainable Development: Innovations, Challenges, and Applications is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. It would be of special ot researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future"--
Artificial Intelligence And Machine Learning For Sustainable Development
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Author : Pawan Whig
language : en
Publisher: CRC Press
Release Date : 2024-12-18
Artificial Intelligence And Machine Learning For Sustainable Development written by Pawan Whig and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
Artificial Intelligence And Machine Learning Applications For Sustainable Development
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Author : A. J. Singh
language : en
Publisher: CRC Press
Release Date : 2025-01-28
Artificial Intelligence And Machine Learning Applications For Sustainable Development written by A. J. Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-28 with Technology & Engineering categories.
The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. It further discusses how smart technologies are employed to optimize energy production and storage, enhance energy efficiency, and improve the overall sustainability of energy systems. This book: Discusses artificial intelligence-based techniques, namely, neural networks, fuzzy expert systems, optimization techniques, and operational research Showcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applications Illustrates strategies for sustainable development using artificial intelligence and machine learning applications Presents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilization Highlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sources It is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering.
Artificial Intelligence For Sustainable Development Theory Practice And Future Applications
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2020-08-31
Artificial Intelligence For Sustainable Development Theory Practice And Future Applications written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-31 with Technology & Engineering categories.
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.
Ai Solutions For The United Nations Sustainable Development Goals Un Sdgs
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Author : Tulsi Pawan Fowdur
language : en
Publisher: Springer Nature
Release Date : 2024-12-17
Ai Solutions For The United Nations Sustainable Development Goals Un Sdgs written by Tulsi Pawan Fowdur and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Computers categories.
Learn the United Nations Sustainable Development Goals (UN SDGs) and see how machine learning can significantly contribute to their realization. This book imparts both theoretical knowledge and hands-on experience in comprehending and constructing machine learning-based applications for addressing multiple UN SDGs using JavaScript. The reading begins with a delineation of diverse UN SDG targets, providing an overview of previous successful applications of machine learning in solving realistic problems aligned with these targets. It thoroughly explains fundamental concepts of machine learning algorithms for prediction and classification, coupled with their implementation in JavaScript and HTML programming. Detailed case studies examine challenges related to renewable energy, agriculture, food production, health, environment, climate change, water quality, air quality, and telecommunications, corresponding to various UN SDGs. Each case study includes related works, datasets, machine learning algorithms, programming concepts, and comprehensive explanations of JavaScript and HTML codes used for web-based machine learning applications. The results obtained are meticulously analyzed and discussed, showcasing the pivotal role of machine learning in advancing the relevant SDGs. By the end of this book, you’ll have a firm understanding of SDG fundamentals and the practical application of machine learning to address diverse challenges associated with these goals. What You’ll Learn Understand the fundamental concepts of the UN SDGs, AI, and machine learning algorithms. Employ the correct machine learning algorithms to address challenges on the United Nations Sustainable Development Goals (UN SDGs)? Develop web-based machine learning applications for the UN SDGs using Javascript, and HTML. Analyze the impact of a machine learning-based solution on a specific UN SDG. Who This Book Is For Data scientists, machine learning engineers, software professionals, researchers, and graduate students.
Sustainable Developments By Artificial Intelligence And Machine Learning For Renewable Energies
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Author : Krishna Kumar
language : en
Publisher: Academic Press
Release Date : 2022-03-18
Sustainable Developments By Artificial Intelligence And Machine Learning For Renewable Energies written by Krishna Kumar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-18 with Technology & Engineering categories.
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
Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals
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Author : Ruiz-Vanoye, Jorge A.
language : en
Publisher: IGI Global
Release Date : 2025-03-07
Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals written by Ruiz-Vanoye, Jorge A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Computers categories.
Achieving the United Nations' Sustainable Development Goals (SDGs) requires innovative solutions that address global challenges such as climate change, poverty, and social inequality. Artificial intelligence (AI), machine learning, and data-driven technologies offer transformative potential by optimizing resource management, improving healthcare outcomes, and enhancing decision-making processes. However, integrating AI into sustainable development efforts presents ethical, technical, and policy-related challenges that must be carefully navigated. A multidisciplinary approach is essential to ensure these technologies are applied inclusively and responsibly, maximizing their positive societal impact. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals enhances understanding and application of machine learning, deep learning, data mining and AI technologies in the context of the SDGs. It fills the gap by linking theory and practice and addresses both the opportunities and challenges inherent in this intersection. Covering topics such as demand side management, agricultural productivity, and smart manufacturing, this book is an excellent resource for engineers, computer scientists, practitioners, policymakers, professionals, researchers, scholars, academicians, and more.
Sustainable Development Through Machine Learning Ai And Iot
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Author : Pawan Whig
language : en
Publisher: Springer
Release Date : 2024-10-19
Sustainable Development Through Machine Learning Ai And Iot written by Pawan Whig and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-19 with Computers categories.
This book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27–28, 2024. The 38 full papers presented here were carefully reviewed and selected from 167 submissions. These papers have been categorized into the following sections: for artificial learning based papers; for internet of things based papers; for machine learning based papers.
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.