Al-Turjman, Fadi. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XIII, 926 p. 354 illus., 299 illus. in color. online resource. This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by smart infrastructures. Smart infrastructures gather Terabytes of data nowadays with no need for traditional control. The data automatically uploads to the cloud computing platform. The cloud analyses the data and generates the required output in visualization, graph, and action. A remote access network can be constructed dependent on either low-elevation or high-altitude stages. When associated with satellite and earthly frameworks, these stages empower a far-reaching access network with worldwide inclusion and diverse administration provisioning. Data analytics are used in agriculture, mining, waste management, energy, and military defenses. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT and smart infrastructures applications. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for smart and sustainable infrastructure-related devices. AIoT and Sustainable Development Goals in Practice -- IoT and Software Services -- IoT and Medical Things -- AIoT and Hardware Implementations. edited by Fadi Al-Turjman. Sustainability Software engineering Management Engineering Data processing Sustainability Software Management Data Engineering GE196 9783031782763 https://doi.org/10.1007/978-3-031-78276-3 https://doi.org/10.1007/978-3-031-78276-3 241226 20251030114641.0 978-3-031-78276-3