Название: Modelling of Virtual Worlds Using the Internet of ThingsАвтор: Simar Preet Singh, Arun Solanki
Издательство: CRC Press
Серия: Intelligent Data-Driven Systems and Artificial Intelligence
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
The text presents aspects of virtual worlds and highlights the emerging trends in simulation and modeling, comprising Machine Learning, Artificial Intelligence, Deep Learning, robotics, cloud computing, and data mining algorithms. It further discusses concepts including multimedia for the Internet of Things, graphical modeling using emerging technologies, and securing communication with secure data transmission in the modeling of virtual worlds.
Modelling of Virtual Worlds Using the Internet of Things (MVWIoT) is becoming the need of the present world. With the advancements of technology in recent times, many developments have occurred in a very short span of time. This book will focus on deeper aspects of the Internet of Things (IoT) and will cover simulations and modelling of visual worlds in Internet of Things (IoT) domain. In present times, the Internet of Things (IoT) is in broad use, ranging from small devices like mobile phones to big professional computers. Hand-held devices, which have the capability of getting an Internet Protocol (IP) address and can be connected to the Internet, come under the category of an Internet of Things (IoT) device. There has been a great increase in the number of such devices in a very short span of time. It is predicted that this increase will further increase at an exponential rate in the coming years. The use of such computing devices helps people to finalize more intelligent decisions, considering more alternatives and actions, which optimize and enhance their business processes. Thus, Internet of Things (IoT) technology is in huge demand nowadays and will increase at a higher pace in the coming years.
This book is intended to cover various problematic aspects of visual worlds and highlight the emerging trends in simulation and modelling, comprising of Machine Learning, Artificial Intelligence, Deep Learning, robotics, cloud computing, fog computing, and data mining algorithms, including emerging intelligent and smart applications related to these research areas. The book is intended to cover the recent approaches in Artificial Intelligence and Machine Learning methods using the Internet of Things (IoT). The coverage of such activities includes: implementation of smart devices in visual worlds, smart cities and self-driven cars using Internet of Things (IoT), decentralized visual modelling at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for smart systems, and much more.
This book:
Discusses secure data transmission in the modeling of virtual worlds in the Internet of Things environment.
Covers the integration of concepts and technical know-how about multiple technologies in visual world modeling, system configurations, and hardware issues.
Explores the use of next-generation technologies such as Deep Learning, blockchain, and Artificial Intelligence in visual world modeling scenarios.
Presents architectures and system models for the Internet of Things based visual world modeling systems.
Provides real-time case scenarios, highlighting emerging challenges and issues.
The text is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer engineering, and information technology.
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