As the internet of things market is booming, several issues are delaying the full realization of the technology. Currently, business competitors are jockeying for a piece of the market, meaning solutions from researchers that address these issues is crucial for internet of things technology developers. Overpromising followed by underdelivering has been the current approach by many innovators, and the mismatch results in losses in production, orphaned technologies, and frequent system failures. Solutions that address internet of things performance issues must be studied in order to take full advantage of this emerging market. Achieving Full Realization and Mitigating the Challenges of the Internet of Things addresses the challenges faced in rolling out internet of things technologies as well as the various performance issues. Covering a range of topics such as cybersecurity and connectivity issues, this reference work is ideal for industry professionals, academicians, researchers, practitioners, technology developers, instructors, and students.

"IoT technologies are being used in the re-engineering of a variety of products resulting in better performance, reduced cost, and an improved customer experience, and this book offers a variety of chapters that specifically addresses the challenges faced in the rolling out of IoT technologies "--

Integration of IoT with Cloud Computing for Smart Applications provides an integrative overview of the Internet of Things (IoT) and cloud computing to be used for the various futuristic and intelligent applications. The aim of this book is to integrate IoT and cloud computing to translate ordinary resources into smart things. Discussions in this book include a broad and integrated perspective on the collaboration, security, growth of cloud infrastructure, and real-time data monitoring. Features: Presents an integrated approach to solve the problems related to security, reliability, and energy consumption. Explains a unique approach to discuss the research challenges and opportunities in the field of IoT and cloud computing. Discusses a novel approach for smart agriculture, smart healthcare systems, smart cities and many other modern systems based on machine learning, artificial intelligence, and big data, etc. Information presented in a simplified way for students, researchers, academicians and scientists, business innovators and entrepreneurs, management professionals and practitioners. This book can be great reference for graduate and postgraduate students, researchers, and academicians working in the field of computer science, cloud computing, artificial intelligence, etc.

There is a need to be aware of the challenges awaiting us in next generation (NextGen) networks in order to take the proper steps to either minimize or eliminate issues as they present themselves. Incorporating artificial intelligence in NextGen networks for privacy and security policies will serve this purpose. It is essential to stay current with these emerging technologies and applications in order to maintain safe and secure communications in the future. Challenges and Risks Involved in Deploying 6G and NextGen Networks explores strategies for the design and deployment of more secured and user-centered NextGen networks through artificial intelligence to enrich user experience. It further investigates the political, social, and geographical challenges involved in realizing these 6G networks and explores ways to improve the security of future potential applications as well as protect user data from illegal access. Covering topics such as deep learning algorithms, aerial network communication, and edge computing, this major reference work is an indispensable resource for regulatory and policy groups, associations and technology groups, government and international bodies, technology executives and technical institutions, management consulting and advisory firms, communication engineers, network engineers, students and educators of higher education, researchers, and academicians.

A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.

Recently, the internet of things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has gained significant attention by utilizing its machine learning algorithms for quality patient care. The integration of IoT with AI may open new possibilities for both technologies and can play a big part in smart healthcare by providing improved insight into healthcare data and allowing for more inexpensive personalized care. The Handbook of Research on Advancements in AI and IoT Convergence Technologies considers recent advancements in AI and IoT convergence technologies with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those convergence technologies. It also provides insight into how to develop AI and IoT convergence techniques to meet industrial demands and covers the emerging research topics that are going to define the future of AI and IoT convergence technology development. Covering key topics such as diseases, smart healthcare, social distance monitoring, and security, this major reference work is ideal for industry professionals, nurses, healthcare workers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.

Fintech Law and Practice in Nigeria provides a comprehensive exploration of the rapidly evolving fintech landscape in Nigeria. Written by Davidson Oturu, this book offers an in-depth analysis of the legal, regulatory, and operational frameworks that govern fintech businesses in one of Africa’s largest economies. From payment systems to cryptocurrency, mobile banking, and digital lending, this book covers key aspects of the Nigerian fintech ecosystem. It delves into the various laws, guidelines, and regulations shaping the industry, offering practical insights for fintech founders, legal practitioners, regulators, and investors. Whether you are navigating the complexities of licensing requirements, compliance obligations, or investor agreements, this book provides clarity and actionable advice. In addition to covering local regulatory practices, Fintech Law and Practice in Nigeria highlights the global trends impacting the Nigerian fintech space, drawing comparisons with international markets. The book is an essential guide for anyone seeking to understand or engage with the legal side of financial technology in Nigeria, and a must-read for professionals looking to stay ahead in this fast-paced sector.