Deep Learning Technologies for the Sustainable Development Goals
Deep Learning Technologies for the Sustainable Development Goals

Author: Virender Kadyan

Publisher: Springer Nature

Published: 2023-02-01

Total Pages: 254

ISBN-13: 9811957231

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This book provides insights into deep learning techniques that impact the implementation strategies toward achieving the Sustainable Development Goals (SDGs) laid down by the United Nations for its 2030 agenda, elaborating on the promises, limits, and the new challenges. It also covers the challenges, hurdles, and opportunities in various applications of deep learning for the SDGs. A comprehensive survey on the major applications and research, based on deep learning techniques focused on SDGs through speech and image processing, IoT, security, AR-VR, formal methods, and blockchain, is a feature of this book. In particular, there is a need to extend research into deep learning and its broader application to many sectors and to assess its impact on achieving the SDGs. The chapters in this book help in finding the use of deep learning across all sections of SDGs. The rapid development of deep learning needs to be supported by the organizational insight and oversight necessary for AI-based technologies in general; hence, this book presents and discusses the implications of how deep learning enables the delivery agenda for sustainable development.

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

Published: 2020-08-31

Total Pages: 310

ISBN-13: 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.

Emerging Trends in ICT for Sustainable Development
Emerging Trends in ICT for Sustainable Development

Author: Mohamed Ben Ahmed

Publisher: Springer

Published: 2022-02-07

Total Pages: 407

ISBN-13: 9783030534424

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This book features original research and recent advances in ICT fields related to sustainable development. Based the International Conference on Networks, Intelligent systems, Computing & Environmental Informatics for Sustainable Development, held in Marrakech in April 2020, it features peer-reviewed chapters authored by prominent researchers from around the globe. As such it is an invaluable resource for courses in computer science, electrical engineering and urban sciences for sustainable development. This book covered topics including • Green Networks • Artificial Intelligence for Sustainability• Environment Informatics• Computing Technologies

Data Science Applied to Sustainability Analysis
Data Science Applied to Sustainability Analysis

Author: Jennifer Dunn

Publisher: Elsevier

Published: 2021-05-11

Total Pages: 312

ISBN-13: 0128179775

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Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. - Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery - Includes considerations sustainability analysts must evaluate when applying big data - Features case studies illustrating the application of data science in sustainability analyses

Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough
Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

Author: Vinit Kumar Gunjan

Publisher: Springer Nature

Published: 2024-01-13

Total Pages: 337

ISBN-13: 3031430093

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This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.

Artificial Intelligence and Machine Learning for Sustainable Development
Artificial Intelligence and Machine Learning for Sustainable Development

Author: Pawan Whig

Publisher: CRC Press

Published: 2024-12-18

Total Pages: 287

ISBN-13: 1040228771

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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.

Intestinal Parasites - New Developments in Diagnosis, Treatment, Prevention and Future Directions
Intestinal Parasites - New Developments in Diagnosis, Treatment, Prevention and Future Directions

Author:

Publisher: BoD – Books on Demand

Published: 2024-10-30

Total Pages: 322

ISBN-13: 0854665722

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Intestinal parasites have been one of the leading infections since prehistoric times, threatening human life and reducing its quality. In the second half of the last century, developed countries began to neglect the fight against intestinal parasites, believing the risks were almost eliminated. However, intestinal parasites have remained a persistent problem for centuries, particularly in rural areas of the rest of the world. Today, a quarter of all infectious diseases are still caused by parasitic protozoa and helminths. In the modern world, which associates intestinal parasites with underdeveloped countries, immunocompromised populations pose a significant risk. Intestinal parasites continue to contribute to the global disease burden. In different parts of the world, Helminths such as Ascaris, Enterobius, hookworms, and tapeworms, as well as protozoan parasites like Entamoeba, Cyclospora, Giardia, Cryptosporidium, and Blastocystis, are a significant threat, especially to children. They place a major burden on poor populations, leading to both morbidity and mortality. A holistic approach is needed to control intestinal parasites, which remain a global threat. To establish a global and sustainable control strategy, efforts must be carried out in multiple areas simultaneously. In this book, intestinal parasites are examined from past to present, providing a comprehensive understanding of their impact and control.