Computational Intelligence Methodologies Applied to Sustainable Development Goals

This book explores the impacts of artificial intelligence and computational intelligence on sustainable development goals and how they can influence the ability to comply in a timely manner. It is a valuable resource for specialists from STEM areas.

Format: Paperback / softback
Length: 294 pages
Publication date: 17 April 2023
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of computational intelligence methodologies and their profound applications in achieving sustainable development goals. Spanning 18 meticulously crafted chapters authored by esteemed scientists from diverse corners of the globe, this book explores and emphasizes the significant impacts of artificial intelligence, particularly computational intelligence, on sustainable development. It also delves into analyzing how computational intelligence can empower individuals and organizations to effectively adhere to all the sustainable development goals in a timely manner. This book serves as a captivating showcase for specialists from STEM fields, offering a wealth of instances and research avenues to explore and further advance the field of computational intelligence in achieving a more sustainable future.

Introduction:
The pursuit of sustainable development has become an increasingly pressing global concern, requiring innovative solutions to address complex challenges. Computational intelligence (CI) has emerged as a powerful tool in this endeavor, offering a wide range of methodologies and applications that can contribute to achieving these goals. In this book, we will delve into the world of computational intelligence and its applications to sustainable development.
Chapter 1:
Chapter 1 provides an overview of computational intelligence and its historical development. It explores the various sub-fields of CI, such as artificial intelligence, machine learning, and natural language processing, and highlights their applications in sustainable development. The chapter also discusses the challenges and opportunities associated with CI in achieving sustainable development.
Chapter 2:
Chapter 2 focuses on the application of computational intelligence in renewable energy. It explores the use of AI and machine learning algorithms to optimize renewable energy systems, such as solar and wind power plants, and improve their efficiency and sustainability. The chapter also discusses the role of CI in predicting renewable energy demand and managing energy grids.
Chapter 3:
Chapter 3 examines the application of computational intelligence in water management. It explores the use of AI and machine learning algorithms to optimize water distribution systems, detect water pollution, and manage water resources more effectively. The chapter also discusses the role of CI in developing smart irrigation systems and reducing water waste.
Chapter 4:
Chapter 4 explores the application of computational intelligence in agriculture. It explores the use of AI and machine learning algorithms to optimize crop yields, predict crop diseases, and manage agricultural resources more efficiently. The chapter also discusses the role of CI in developing sustainable food systems and reducing food waste.
Chapter 5:
Chapter 5 examines the application of computational intelligence in urban planning and transportation. It explores the use of AI and machine learning algorithms to optimize urban infrastructure, reduce traffic congestion, and improve public transportation systems. The chapter also discusses the role of CI in developing smart cities and promoting sustainable mobility.
Chapter 6:
Chapter 6 explores the application of computational intelligence in healthcare. It explores the use of AI and machine learning algorithms to diagnose diseases, develop personalized treatments, and manage healthcare resources more effectively. The chapter also discusses the role of CI in improving healthcare accessibility and reducing healthcare costs.
Chapter 7:
Chapter 7 examines the application of computational intelligence in education. It explores the use of AI and machine learning algorithms to personalize learning experiences, improve teaching methods, and assess student performance. The chapter also discusses the role of CI in developing educational technologies and promoting lifelong learning.
Chapter 8:
Chapter 8 explores the application of computational intelligence in environmental management. It explores the use of AI and machine learning algorithms to monitor and analyze environmental data, predict environmental impacts, and develop sustainable solutions. The chapter also discusses the role of CI in promoting environmental sustainability and reducing climate change.
Chapter 9:
Chapter 9 examines the application of computational intelligence in social development. It explores the use of AI and machine learning algorithms to analyze social data, identify social issues, and develop social interventions. The chapter also discusses the role of CI in promoting social equity and reducing social exclusion.
Chapter 10:
Chapter 10 explores the application of computational intelligence in governance and policymaking. It explores the use of AI and machine learning algorithms to analyze policy data, predict policy outcomes, and develop evidence-based policies. The chapter also discusses the role
This comprehensive book delves into the realm of computational intelligence methodologies and their profound applications in achieving sustainable development goals. Spanning 18 meticulously crafted chapters authored by esteemed scientists from diverse corners of the globe, this book explores and emphasizes the significant impacts of artificial intelligence, particularly computational intelligence, on sustainable development. It also delves into analyzing how computational intelligence can empower individuals and organizations to effectively adhere to all the sustainable development goals in a timely manner. This book serves as a captivating showcase for specialists from STEM fields, offering a wealth of instances and research avenues to explore and further advance the field of computational intelligence in achieving a more sustainable future.

Conclusion:
In conclusion, this book provides a comprehensive and insightful exploration of the applications of computational intelligence in achieving sustainable development goals. It highlights the significant role that CI can play in addressing complex challenges and promoting a more sustainable future. By leveraging the power of AI and machine learning, individuals and organizations can effectively adhere to all the sustainable development goals and contribute to the well-being of the planet and its inhabitants. As the field of computational intelligence continues to evolve, it is expected to play an increasingly important role in achieving sustainable development and creating a better world for all.

Weight: 486g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030973469
Edition number: 1st ed. 2022