Читать книгу Machine Learning Paradigm for Internet of Things Applications - Группа авторов - Страница 12

M. Saravanan1*, J. Ajayan2, R. Maheswar3, Eswaran Parthasarathy4 and K. Sumathi5

¹ Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India

² SR University Warangal, Telangana, India

³ School of EEE, VIT Bhopal University, Bhopal, India

⁴ SRM Institute of Science and Technology, Chennai, India

⁵ Sri Krishna College of Technology, Coimbatore, India

Abstract

In developing countries, smart cities are a challenge due to the exponential rise in population. With the rise in demand and availability for goods and facilities, it is now one of the world's most dynamic networks. Intelligent machines are crucial in the construction of critical infrastructure and smart cities in this new age. The increase in population has created new opportunities for smart city management and administration. In the smart city model, information and communication technology (ICT) plays a vital role in policy formulation, decision-making, implementation, and, finally, effective resource allocation. The study's key objective is to explore the role of artificial intelligence, machine learning, and deep reinforcement learning in the evolution of cities. Rapid advancements in computing and hardware, as well as high-speed internet connectivity, have enabled large amounts of data to be transmitted into the physical world.

Keywords: Smart city, process management, sewage treatment plan (STP), neural networks, control centers, cloud storage