Artificial Intelligence to Solve Pervasive Internet of Things Issues

Integrating Artificial Intelligence (AI) is pivotal in increasing the performance of Internet of Things (IoT) devices and systems (i.e., sensors, actuators, and closed-circuit television or video surveillance systems). When these devices/systems are properly configured and implemented, AI can interact with other decentralized IoT devices and systems on the infrastructure. Artificial Intelligence to Solve Pervasive Internet of Things Issues contains two Parts. In the first Part, standards and technologies are highlighted. The second Part covers wide-ranging technology areas along with their applications and challenges, which also includes architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. These chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others. Examines the development and application of Artificial Intelligence as applied to the Internet of ThingsDiscusses intelligent techniques for the implementation of Artificial Intelligence in Internet of ThingsPrepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies INDICE: Part I 1. Introduction to AI and IOT 2. Standards 3. Technologies Part II 4. Applications 5. Challenges 6. Case Studies

• ISBN: 978-0-12-818576-6
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 232
• Fecha Publicación: 01/11/2020
• Nº Volúmenes: 1
• Idioma: Inglés