Computer Vision and Machine Intelligence Paradigms for SDGs
Title | Computer Vision and Machine Intelligence Paradigms for SDGs PDF eBook |
Author | R. Jagadeesh Kannan |
Publisher | Springer Nature |
Pages | 339 |
Release | 2023-01-01 |
Genre | Computers |
ISBN | 9811971692 |
This book constitutes refereed proceedings of the 4th International Conference on Recent Trends in Advanced Computing - Computer Vision and Machine Intelligence Paradigms for Sustainable Development Goals. This book covers novel and state-of-the-art methods in computer vision coupled with intelligent techniques including machine learning, deep learning, and soft computing techniques. The contents of this book will be useful to researchers from industry and academia. This book includes contemporary innovations, trends, and concerns in computer vision with recommended solutions to real-world problems adhering to sustainable development from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.
Urban Artificial Intelligence
Title | Urban Artificial Intelligence PDF eBook |
Author | Tan Yigitcanlar |
Publisher | CRC Press |
Pages | 386 |
Release | 2024-12-12 |
Genre | Computers |
ISBN | 1040264042 |
Tan Yigitcanlar offers a comprehensive exploration of artificial intelligence’s (AI) role in shaping modern cities. This volume delves into how AI‐driven analytics and big data provide city planners with deeper insights, enabling more informed decision‐making. These insights lead to more efficient resource use, improved public services, and better infrastructure management. In the digital age, AI is revolutionising various sectors, fundamentally altering our approach to problem‐solving and innovation. AI’s transformative power spans industries from healthcare to finance, and now, it is poised to redefine urban planning and development. Urban areas, as the epicentres of human activity and progress, face myriad challenges such as population growth, resource management, environmental sustainability, and infrastructure development. Traditional methods often fall short in addressing these complexities, making the integration of AI an essential frontier. Comprising seven extensive and insightful chapters, this volume bridges the gap between the theoretical potential and practical implementation of AI in urban contexts. It covers foundational concepts of urban AI, examines its applications across different domains, and explores how AI can improve urban life through smarter home technologies and personalised public services. This first volume is complemented by Urban Artificial Intelligence: A Guidebook for Understanding Perceptions and Ethics, which delves into the ethical and perceptual dimensions of AI in urban settings. Together, these volumes provide a holistic view of urban artificial intelligence, offering essential insights for urban planners, policymakers, researchers, and anyone interested in the intersection of AI and urban development.
Recent Advancements in Artificial Intelligence
Title | Recent Advancements in Artificial Intelligence PDF eBook |
Author | Richi Nayak |
Publisher | Springer Nature |
Pages | 409 |
Release | |
Genre | |
ISBN | 9819711118 |
Proceedings of Data Analytics and Management
Title | Proceedings of Data Analytics and Management PDF eBook |
Author | Abhishek Swaroop |
Publisher | Springer Nature |
Pages | 696 |
Release | 2024-01-13 |
Genre | Technology & Engineering |
ISBN | 9819965446 |
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.
Digital Technologies to Implement the UN Sustainable Development Goals
Title | Digital Technologies to Implement the UN Sustainable Development Goals PDF eBook |
Author | Walter Leal Filho |
Publisher | Springer Nature |
Pages | 468 |
Release | |
Genre | |
ISBN | 3031684273 |
AI and education
Title | AI and education PDF eBook |
Author | Miao, Fengchun |
Publisher | UNESCO Publishing |
Pages | 50 |
Release | 2021-04-08 |
Genre | Political Science |
ISBN | 9231004476 |
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
Artificial Intelligence in Construction Engineering and Management
Title | Artificial Intelligence in Construction Engineering and Management PDF eBook |
Author | Limao Zhang |
Publisher | Springer Nature |
Pages | 271 |
Release | 2021-06-18 |
Genre | Technology & Engineering |
ISBN | 9811628424 |
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.