Artificial Intelligence of Things for Achieving Sustainable Development Goals (eBook, PDF)

Redaktion: Misra, Sanjay; Lampropoulos, Georgios; Siakas, Kerstin

• Format: PDF

Produktbeschreibung

This book covers various topics and trends regarding Artificial Intelligence (AI), Internet of Things (IoT), and their applications in society, industry, and environment for achieving Sustainable Development Goals (SDGs) suggested by the United Nations. Additionally, it discusses their advancements and fusion as well as the realization of Artificial Intelligence of Things (AIoT). The book aims to provide an overview and recent research into the fusion, integration, advancements, and impact of these technologies in the context of SDGs achievement. The topics include the applications of AI, IoT, big data, AI-based and IoT-based cloud computing, machine learning and deep learning techniques, and blockchain among others for achieving SDGs. It also presents findings and discussions on potential application domains, addresses open issues and challenges, offers solutions, and provides suggestions for future research for achieving SDGs. The chapters are clustered, according to particular SDGs or areas of focus, into: i) the realization of AIoT for SDGs, ii) the role of AIoT in achieving society and wellbeing-related SDGs, iii) the fulfillment of industrial sectors, infrastructure, and economy-related SDGs through AIoT, and iv) the use of AIoT to aid natural resources and environment-related SDGs. The book assists researchers, practitioners, professionals, and academicians of various scientific fields in exploring and better understanding these state-of-the-art technologies, their advancements, impact, future potentials and benefits, and their role in successfully achieving SDGs.

The book:

· Offers an in-depth overview of AIoT for achieving SDGs.

· Presents the fusion of AI and IoT for bringing a significant change in everyday life and fulfilling SDGs.

· Highlights innovative solutions and results of AIoT integration in several domains for achieving SDGs.

· Showcases the influence of AIoT on promoting and improving sustainability in the context of SDGs.

· Discusses the issues, benefits, solutions, and impact of AIoT in society, industry, and environment for achieving SDGs.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 388
• Erscheinungstermin: 11. März 2024
• Englisch
• ISBN-13: 9783031534331
• Artikelnr.: 70157497

Autorenporträt

Dr. Sanjay Misra, a Sr. member of IEEE and ACM Distinguished Lecturer, is a Senior Scientist at the Institute of Energy Technology(IFE), Halden, Norway. Before joining IFE, he was associated with the Computer Science and Communication department of Østfold University College, Halden, Norway. He holds a PhD. in Information & Knowledge Engg (Software Engg) from the University of Alcala, Spain & M.Tech.(Software Engg) from MLN National Institute of Tech, India. His expertise is in the area of Applied Informatics (Cyber Security, Health Informatics, Software Engineering Applications, and Intelligent systems using AI and computational techniques), and he has published (- around 150 JCR/SCIE) in top journals like Computers and Security, Information Processing and Management, Engineering Applications of Artificial Intelligence, Expert Systems, and Applications, etc. He has been amongst the top 2% of scientists in the world (published by Stanford University) for the last three consecutive years, ranked no 2 in the whole of Africa in computer science (as per Elsevier: Scival analysis during 2017-2022) and also got several awards for outstanding publications (2014 IET Software Premium Award (UK)), TUBITAK-Turkish Higher Education, and Atilim University). He is Editor in Chief of Int J of Human Capital & Inf Technology Professionals(IGI), IT Personnel and Project Management(IGI), and editor in various SCIE journals(Nature: Scientific Report((Impact Factor: 4.996), Elsevier: Alex. Engineering((Impact Factor: 6.626, Q1 7/92)), edited several special issues and 80 books from Springer(65 LNCSs, 4 LNEEs, 3 LNNSs, 3 CCISs) , 10 IEEE proceedings and several books. He delivered more than 100 keynotes and invited talks and public lectures at reputed conferences and institutes (he traveled to more than 60 countries). Kerstin Siakas is an Emerita Professor at the Department of Information and Electronic Engineering at International Hellenic University, Greece and a Visiting Professor at the School of Technology, and Innovations/Production at University of Vaasa, Finland. She received her BSc and MSc degrees in economics in 1975 and 1977 respectively from Swedish Handelshögskolan vid Åbo Academy, Finland and her PhD in 2002 in Software Quality Management from the Department of Computing, Communication Technology & Mathematics, London Metropolitan University, UK. She has extensive industrial experience in different levels of software development, mainly in global organizations. Her specialty as a professor includes Information Systems Quality, Innovation and Social Networks. She has participated in numerous EU research and lifelong learning projects. She has published over 200 articles in scientific conferences and journals and she is an active member of the European Certification Qualification Association. Georgios Lampropoulos is a Postdoctoral researcher at the Department of Applied Informatics at the University of Macedonia, Greece. He has been a Visiting Lecturer at the Department of Information and Electronic Engineering at International Hellenic University (IHU) since 2020 from which he also earned his PhD in 2023. He holds a BSc degree in "Information Technology Engineer" specialized as a "Software Engineer" and an MSc degree in "Web Intelligence" from the Department of Information Technology at Alexander Technological Educational Institute of Thessaloniki (currently named IHU). Additionally, he has an MEd degree in "Educational Sciences" from the School of Humanities at the Hellenic Open University. He has published over 50 articles in peer reviewed journals and conferences, he has also published edited books, taken part in international research programs, won awards in international competitions, and served as part of the editorial board, a reviewer, and a member of organizing and scientific committees of international conferences and journals. Some of his research interests are learning technologies, extended reality, artificial intelligence, learning analytics, gamification, and serious games.

Inhaltsangabe

Chapter 1. Reconsidering a Sustainable Future through Artificial Intelligence of Things (AIoT) in the Context of Circular Economy (Georgios Lampropoulos, Harjinder Rahanu, Elli Georgiadou, Dimitrios Siakas, and Kerstin Siakas).- Chapter 2. The Digital Paradigm: Unraveling the Impact of Artificial Intelligence and Internet of Things on achieving Sustainable Development Goals (Hanane Thamik, Juan David Figueroa Cabrera, and Jiang Wu).- Chapter 3. The role of the Artificial Intelligence of Things in Energy Poverty alleviation (Ascensión López Vargas, Agapito Ledezma-Espino, and Araceli Sanchis-de-Miguel).- Chapter 4. AIoT-Enabled Smart Grids: Advancing Energy Efficiency and Renewable Energy Integration (Fadele Ayotunde Alaba, Usman Sani, Emmanuel Gbenga Dada, and Baydaa Hashim Mohammed).- Chapter 5. Achieving SDGs using AI Techniques and Digital Twins for Nuclear Power Plants: A Review (Kousik Barik, Sanjay Misra, and Harald P-J Thunem).- Chapter 6. Carbon and Decarbonization Disclosure: Role of Responsible Innovation in Adoption of Artificial Intelligence of Things towards SDGs (Assunta Di Vaio, Anum Zaffar, and Daniel Balsalobre-Lorente).- Chapter 7. Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security (Fadele Ayotunde Alaba, Abayomi Jegede, Usman Sani, and Emmanuel Gbenga Dada).- Chapter 8. AIoT-Enabled Precision Agriculture for Sustainable Crop Disease Management: Advancing SDGs through Graph Attention Neural Networks (Muhammad Bello Kusharki and Bilkisu Larai Muhammad-Bello).- Chapter 9. Sustainable Healthcare 5.0: Integration of IoT and Blockchain Technology with Federated Learning Model for Securing Healthcare Data (Arudra Vamshikrishnaa, Dharavath Ramesha, Rahul Mishraa, and Nazeeruddin Mojammadb).- Chapter 10. IoT-Enabled Machine Learning for Enhanced Diagnosis of Diabetes and Heart Disease in Resource-Limited Settings (John Abubakar, Aghedo Emmanuel Odianose, and Omolola Faith Ademola), etc.