Читать книгу Machine Learning Paradigm for Internet of Things Applications - Группа авторов - Страница 25

Digital innovations, in terms of physical technology, a smart city, transform into improved public facilities for people and better resource use while reducing environmental impacts. A city that integrates physical infrastructure, IT infrastructure, social infrastructure, and business infrastructure with a view to exploiting the city’s collective intellect. Technologies for embedded sensing allow data collection and analysis in real time [7]. This data is then presented to infrastructure companies as meaningful and accurate information, allowing them to make more sophisticated decisions [8]. AI learning is introduced in the infrastructure-based architectural-based systems which have more result in the accuracy and the beneficial purposes. For a deeper understanding of the usage of resources, AI may use accurate, robust, and practical knowledge obtained and processed by smart infrastructure. A change in urban planning and development leads to a more efficient and secure infrastructure that is better tailored to the needs of people. The data collection are carried through the process by the collecting the individual responses.