| Abstract |
Smart systems and services are designed to support a variety of goals, including modern living, integrated societies, gig economic growth, knowledge-based workforces, manufacturing automation, expanding urban populations, and virtually real social behaviors. Smart services and systems must have a sophisticated feature set, including security, control, scaling, flexibility, intelligent behavior, and personalization, to meet these goals. Therefore, the secret to creating automated, intelligent, and smart systems that meet today's demands is modeling based on AI. Different forms of AI, including logical, working, dynamic, written, and graphical AI, can be used to improve an application's intelligence and capabilities to solve problems in the real world. However, because real-world issues and information are dynamic and varied, creating an efficient AI model is a difficult undertaking. In this work, we provide a thorough understanding of "AI-based Modelling," including the fundamentals and potential applications of AI techniques that can be crucial to the development of intelligent systems in a wide range of real-world application domains, such as security, smart cities, finance, business, medical care, and farming. We regard this effort as a first step towards drawing the interest of numerous academics to a new field of application, where wireless devices can improve the quality of life for a large number of people living in smart cities. © 2024, Collegium Basilea. All rights reserved. |