EmergeNC: Activating Intellect through New(z) Consciousness


Book Description

This book is a collaboration of student questions and answers, designed to promote a vision of how this generation thinks and communicates with one another.




Digital-for-Development: Enabling Transformation, Inclusion and Sustainability Through ICTs


Book Description

This book constitutes the refereed proceedings of the 12th International Development Informatics Association Conference, IDIA 2022, held in Mbombela, South Africa, in November 2022. The 20 revised full papers presented in this volume were carefully reviewed and selected from 61 submissions. The papers are organized in topical sections on​ theories and practices in digital-for-development ecosystems; emerging technologies for transformation, inclusion and sustainable development; privacy and security in digital-for-development ecosystems; human-computer interaction (HCI) for digital inclusion; artificial intelligence (AI) for good.




Ubiquitous Computing and Ambient Intelligence: Context-Awareness and Context-Driven Interaction


Book Description

This book constitutes the refereed proceedings of the 7th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2013, held in Guanacaste, Costa Rica, in December 2013. The 46 research papers presented together with 8 papers of the workshop UrbAI 2013 were carefully reviewed and selected from numerous submissions. The papers are grouped in topical sections on human interaction in ambient intelligence, ICT instrumentation and middleware support for smart environments and objects, adding intelligence for environment adaption and key application domains for ambient intelligence.




Artificial Intelligence Perspective for Smart Cities


Book Description

The concept of a "smart city" is used widely in general; however, it is hard to explain because of the complexity and multidimensionality of this notion. However, the essential qualification for being a smart city is to achieve "sustainable social, environmental, and economic development" and boost the living standards of society based on Information and Communication Technology (ICT) and Artificial intelligence (AI). AI in smart cities has become an important aspect for cities that face great challenges to make smart decisions for social well-being, particularly cybersecurity and corporate sustainability. In this context, we aim to contribute literature with a value-added approach where various AI applications of smart cities are discussed from a different perspective. First, we start by discussing the conceptual design, modeling, and determination of components for the sustainability of a smart city structure. Since smart cities operate on spatial-based data, it is important to design, operate, and manage smart city elements using Geographical Information Systems (GIS) technologies. Second, we define the structure, type, unit, and functionality of the layers to be placed on the GIS to achieve best practices based on Industry 4.0 components. Transportation is one of the key indicators of smart cities, so it is critical to make transportation in smart cities accessible for different disabled groups by using AI technologies. Third, we demonstrate what kinds of technologies should be used for which disabled groups in different transportation vehicles with specific examples. Finally, we create a discussion platform for processes and sub-processes such as waste management, emergency management, risk management, and data management for establishing smart cities including the financial and ethical aspects.




Enabling People-Centered Risk Communication for Geohazards


Book Description

In the field of natural hazards, communicating science with the public and stakeholders involves entering the challenging and complex world of hazard and risk communication, the ultimate purpose of which is to reduce the impact of impending hazards on people at risk. According to the Sendai Framework 2015-2030, it is important to “strengthen the utilization of media, including social media, traditional media, big data and mobile phone networks, to support national measures for successful disaster risk communication.” Sometimes risk communication has collateral and unexpected side effects that may lead to the adoption of inadequate behaviors. In some instances, this can even result in legal actions being taken against scientists and/or emergency managers. The role of the media should be to facilitate the accurate communication of hazard and risk information, but such communication is often hampered by the fact that journalists have different agendas and priorities than scientists, risk communicators, and emergency managers. This does not always support people in their decision making. Accurate communication of hazard and risk is especially important when decisions have to be made within contexts where uncertainty is very high. This is often the case with geohazards, such as earthquakes, tsunamis, volcanic eruptions, and landslides.




A Comprehensive Framework for Adapting National Intelligence for Domestic Law Enforcement


Book Description

"A Comprehensive Framework for Adapting National Intelligence for Domestic Law Enforcement" is a groundbreaking book that delves into the intricate process of integrating sophisticated national intelligence methodologies into domestic law enforcement practices. Authored by a seasoned expert in the field of intelligence, this book emerges as a critical resource for military leaders, policymakers, members of the intelligence community, and law enforcement personnel. This insightful work begins by exploring the historical evolution of intelligence sharing, offering a thorough analysis of past and present strategies. It then seamlessly transitions into discussing the current challenges and opportunities faced in integrating national intelligence into domestic law enforcement. The book provides an in-depth examination of legal and ethical frameworks, ensuring that the proposed methods adhere to the highest standards of civil liberties and legal compliance. Central to the book is the development of a comprehensive framework that bridges the gap between national intelligence operations and local law enforcement requirements. This framework not only addresses operational aspects but also focuses on the technological advancements, such as AI and big data analytics, reshaping intelligence gathering and analysis. The author brings to light the importance of cross-sector collaboration, suggesting innovative ways to enhance cooperation between various sectors – government, private, and non-profit – in intelligence activities. Case studies of successful intelligence collaboration, both domestic and international, are meticulously analyzed, offering practical insights and lessons learned. Moreover, the book addresses the training and skill development necessary for effectively adapting national intelligence practices in a domestic context. It emphasizes the need for continuous professional development and the cultivation of a learning culture within law enforcement agencies. "A Comprehensive Framework for Adapting National Intelligence for Domestic Law Enforcement" concludes with strategic recommendations for policy and practice, advocating for a progressive approach towards intelligence integration. This book is an invaluable asset for anyone involved in or interested in the intersection of national security, intelligence, and domestic law enforcement, providing a comprehensive guide to navigating this complex and evolving landscape.




Artificial Intelligence and Machine Learning for Sustainable Development


Book Description

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.




Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference


Book Description

This book offers the exchange of ideas between scientists and technicians from both the academic and industrial sector which is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The 18th International Symposium on Distributed Computing and Artificial Intelligence 2021 (DCAI 2021) is a forum to present the applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work, and promising future trends associated with distributed computing, artificial intelligence, and their application in order to provide efficient solutions to real problems. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 55 papers were submitted to main track and special sessions, by authors from 24 different countries, representing a truly “wide area network” of research activity. The DCAI’21 technical program has selected 21 papers, and, as in past editions, it will be special issues in ranked journals such as Electronics, Sensors, Systems, Robotics, Mathematical Biosciences and ADCAIJ. These special issues cover extended versions of the most highly regarded works. Moreover, DCAI'21 special sessions have been a very useful tool to complement the regular program with new or emerging topics of particular interest to the participating community.




Artificial Intelligence and Information Technologies


Book Description

This book contains the proceedings of a non-profit conference with the objective of providing a platform for academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad, and exchanging their research and innovative ideas in the field of Artificial Intelligence and Information Technologies. It begins with exploring the research and innovation in the field of Artificial Intelligence and Information Technologies including secure transaction, monitoring, real time assistance and security for advanced stage learners, researchers and academicians has been presented. It goes on to cover: Broad knowledge and research trends about artificial intelligence and Information Technologies and their role in today’s digital era. Depiction of system model and architecture for clear picture of AI in real life. Discussion on the role of Artificial Intelligence in various real-life problems such as banking, healthcare, navigation, communication, security, etc. Explanation of the challenges and opportunities in AI based Healthcare, education, banking, and related Industries. Recent Information technologies and challenges in this new epoch. This book will be beneficial to researchers, academicians, undergraduate students, postgraduate students, research scholars, professionals, technologists and entrepreneurs.




Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering


Book Description

The book is covering knowledge and results in theory, methodology, and applications of artificial intelligence and machine learning in academia and industry. Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks. The chapters in this book integrated approach toward global exchange of information on technological advances, scientific innovations, and the effectiveness of various regulatory programs toward AI application in medicine, biology, chemistry, financial, games, law, and engineering. Readers can find AI application in industrial workplace safety, manufacturing systems, medical imaging, biomedical engineering application, different computational paradigm, COVID-19, liver tracking, drug delivery system, and cost-effectiveness analysis. Real examples from academia and industry give beyond state of the art for application of AI and ML in different areas. These chapters are extended papers from the First Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19–20, 2022.