Читать книгу Machine Learning Paradigm for Internet of Things Applications - Группа авторов - Страница 29

1.4.5 Economical-Based Infrastructure

Оглавление

Innovation-driven and university-supported economy focuses on cutting-edge innovation, not just for technology, industry, and business but also for architecture, planning, growth, and the cultural heritage. Cities are a prosperous location, but their prosperity depends on their population size and other factors. In the last two decades, urban India has developed at an exponential pace [14]. An optimistic estimation of India’s population growth indicates that the total population is projected to hit around 1.5 billion by 2031, with an increased urban population of about 600 million, or about 40%, by 2031.

India has the large economic growth development in the world. Unfortunately, economic data is not calculated for urban agglomerations, but rather for the district administrative unit, which has no association with the border of urban agglomerations. In India, the extent of urbanization of the different states and union territories varies widely. The increased population base of cities resulted in higher demand for manufacturing goods and commodities. This was the case of cities and towns which grew in Europe in the 19th century in the industrial belts and regions. More often, a polycentric, nature-based and people-friendly urban structure was invented when center city regions became congested with growing population and increasing industrial emissions [14, 15].

Machine Learning Paradigm for Internet of Things Applications

Подняться наверх