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Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics (de Gruyter the Internet of Things)

معرفی کتاب «Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics (de Gruyter the Internet of Things)» نوشتهٔ Mariyam Ouaissa (editor); Zakaria Boulouard (editor); Mariya Ouaissa (editor); Yassine Maleh (editor)، منتشرشده توسط نشر de Gruyter GmbH در سال 2022. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This book focuses on the use of AI/ML-based techniques to solve issues related to IoT-based environments, as well as their applications. It addresses, among others, signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defi ned networking, congestion control, communication network optimization, security, and anomaly detection. In the De Gruyter Series on the Internet of Things, different approaches of the IoT, the challenges, and some of the applications are presented and discussed. This provides a roadmap to researchers and beginners. IoT envisages a deep sense of connectivity and communication between the living and non-living entities. Today, the vision of IoT has expanded to connect everything - from industrial equipment, to everyday objects, to living organisms such as plants, farm animals, and people. To create a niche for non-living things to react, respond and work autonomously as and when required and as per their role, position and location in the ecosystem to provide services to the user. IoT is developing rapidly in industrial settings. IoT integrates the physical world with the information world so that every entity/device works for the betterment and in co-ordination with the other to help to conserve the most valued resources and save time Preface Contents About the editors Toward the Internet of vehicles: challenges and solutions AI-enabled communication protocols for vehicular ad hoc networks (VANETs): fundamentals and future challenges Applying machine learning algorithms to improve intrusion detection system in IoV Auto steering control in a self-driving car using deep learning model Semantic segmentation with transfer learning for self-driving cars An improved anomaly detection process in smart vehicle using a supervised ensemble-learning framework Survey on AI-based IoT and drone-equipped smart agriculture General parametric of four hybrid microconcentrator photovoltaic systems for electric car charging station The influence of social media in improving supply chain intelligence using deep learning Index
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