machine learning sustainable development (103 Ergebnisse)

paperback. Zustand: Very Good.

Hardback. Zustand: New. 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.

Zustand: New.

hardcover. Zustand: Gut. Seiten; 9781394185849.3 Gewicht in Gramm: 1.

hardcover. Zustand: Fine.

Paperback. Zustand: new. Paperback. This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 1516, 2023.The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development. This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 1516, 2023.The book comprises 31 full papers that were selected from a total of 129 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Zustand: new. Hardcover. 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 researchShowcases the importance of artificial intelligence and machine learning in the energy market, demand analysis, and forecasting of renewable energy applicationsIllustrates strategies for sustainable development using artificial intelligence and machine learning applicationsPresents applications of artificial intelligence in the domain of electronics transformation and development, smart cities, and renewable energy utilizationHighlights the role of artificial intelligence in solving problems such as image and signal processing, smart weather monitoring, smart farming, and distributed energy sourcesIt is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical, electronics and communications, energy, and environmental engineering. The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Zustand: New. 1st edition NO-PA16APR2015-KAP.

Zustand: New.

Zustand: New. In.

Zustand: New. In.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Machine learning, a branch of artificial intelligence that enables computers to learn from data, is transforming the way we approach predictive analytics in industry and healthcare. In Machine Learning for Predictive Analytics in Industry and Healthcare for Sustainable Development, we explore the applications of machine learning to predictive analytics, including demand forecasting, supply chain optimization, and patient outcomes. By examining the potential of machine learning to improve business outcomes and reduce costs, we can identify opportunities for innovation and growth in these fields. This book provides a comprehensive guide to the latest developments in machine learning for predictive analytics, including its applications to industry, healthcare, and sustainable development. Whether you are a business leader, researcher, or policymaker, this book offers valuable insights and practical advice for harnessing the power of machine learning to drive sustainable development and improve business outcomes. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Sustainable Development through AI and Machine Learning presents a cutting-edge approach to sustainable development, leveraging the power of artificial intelligence and machine learning to drive meaningful change. This book explores the latest methodologies and tools for harnessing AI and machine learning to inform sustainable development strategies, from data analysis to predictive modeling. By examining real-world case studies and best practices, this book demonstrates the potential for AI and machine learning to drive more effective and sustainable outcomes, from reducing carbon emissions to promoting economic growth. By providing a comprehensive roadmap for sustainable development through AI and machine learning, this book offers a valuable resource for policymakers, business leaders, and development practitioners seeking to create a more sustainable future. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Sustainable Development through AI and Machine Learning in Education presents a forward-thinking exploration of the potential of artificial intelligence and machine learning to drive sustainable development in education. This book examines the ways in which AI and machine learning can be used to improve educational outcomes, from personalized learning to adaptive assessment. By highlighting the potential of AI and machine learning to address some of the most pressing challenges in education, this book offers a compelling vision of a future where technology and education converge to create a more sustainable and equitable world. Whether you are an educator, researcher, or simply someone interested in the potential of technology to drive positive change, this book is sure to inspire and motivate. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In 'Machine Learning for Sustainable Development', the author presents a groundbreaking and timely exploration of the complex relationships between machine learning, sustainability, and development. This book examines the ways in which machine learning algorithms are being used in various domains, from environmental monitoring and conservation to social services and education, highlighting the potential benefits and risks of these technologies. Through a series of engaging and accessible case studies, the author demonstrates the critical importance of ensuring that machine learning systems are fair, transparent, and accountable, and provides a framework for evaluating the sustainability implications of these technologies. By exploring the intersections of machine learning, sustainability, and development, 'Machine Learning for Sustainable Development' offers a valuable resource for policymakers, scholars, and practitioners seeking to create a more sustainable and equitable world. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Machine Learning for Predictive Maintenance in Industry and Healthcare for Sustainable Development presents a cutting-edge exploration of the potential applications of machine learning in predictive maintenance in industry and healthcare for sustainable development. By examining the latest advances in machine learning and their application in predictive maintenance, this book reveals new opportunities for improving the accuracy and efficiency of maintenance operations and reducing waste and environmental impact. From the use of deep learning algorithms in image analysis to the application of machine learning in predicting equipment failure, this book provides a comprehensive overview of the exciting possibilities presented by the intersection of machine learning and predictive maintenance in industry and healthcare for sustainable development. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Sustainable Development through Machine Learning presents a groundbreaking exploration of the potential for machine learning to drive sustainable development. By examining the complex relationships between data, algorithms, and environmental outcomes, this book offers a comprehensive framework for developing effective machine learning strategies that promote sustainable development. The author's expert analysis highlights the importance of integrating machine learning with environmental science, policy, and practice, providing a roadmap for policymakers and practitioners to develop more sustainable and resilient communities. Through a series of case studies and empirical research, this book demonstrates the potential for machine learning to reduce environmental impacts and promote more equitable and sustainable development. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Machine learning, a branch of artificial intelligence that enables computers to learn from data, is transforming the way we approach medical diagnosis in radiology and healthcare. In Machine Learning for Medical Diagnosis in Radiology and Healthcare for Sustainable Development, we explore the applications of machine learning to medical diagnosis, including image analysis, disease detection, and patient outcomes. By examining the potential of machine learning to improve healthcare outcomes and reduce costs, we can identify opportunities for innovation and growth in this field. This book provides a comprehensive guide to the latest developments in machine learning for medical diagnosis, including its applications to radiology, healthcare, and sustainable development. Whether you are a healthcare professional, researcher, or policymaker, this book offers valuable insights and practical advice for harnessing the power of machine learning to drive sustainable development and improve healthcare outcomes. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Machine learning has the potential to revolutionize the way we approach sustainable development goals. By harnessing the power of artificial intelligence and machine learning algorithms, we can develop more efficient and effective solutions to some of the world's most pressing environmental and social challenges. Machine Learning for Sustainable Development Goals explores the exciting possibilities of machine learning in the context of sustainable development. From the application of machine learning to climate change and sustainable development to the use of machine learning in optimizing resource allocation and reducing waste, this book provides a comprehensive overview of the key principles and practices that underpin successful machine learning for sustainable development. By examining the experiences of pioneering machine learning researchers and the innovative strategies they have employed, this guide offers a unique perspective on the opportunities and challenges presented by a rapidly evolving field. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.