Al-Turjman Artificial Intelligence in IoT

1. Auflage 2019
ISBN: 978-3-030-04110-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 231 Seiten, eBook

Reihe: Transactions on Computational Science and Computational Intelligence

This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies. Includes the most up-to-date research and applications related to IoT artificial intelligence (AI); Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry; Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues.

Zielgruppe

Research

Autoren/Hrsg.

Al-Turjman, Fadi

Inhaltsverzeichnis

Chapter1: A Systematic Review of the Convergence of Augmented Reality, Intelligent Virtual Agents, and the Internet of Things.- Chapter2: Improving the Physical Layer Security in IoT-5G Systems.- Chapter3: Emotional ANN (EANN): A New Generation of Neural Networks for Hydrological Modeling in IoT.- Chapter4: Smart Tourism Destination in Smart-cities Paradigm: A Model for Antalya.- Chapter5: A Hybrid approach for image segmentation in the IoT Era.- Chapter6: Big Data Analytics for Intelligent Internet of Things.- Chapter7: Blockchain and Internet of Things-Based Technologies for Intelligent Water Management System.- Chapter8: Digital Forensics for Frame Rate Up-Conversion in Wireless Sensor Network.- Chapter9: A Neuro Fuzzy Based Multi Criteria Risk Evaluation Approach: A Case Study of Underground Mining.- Chapter10:Intelligent IoT Communication in Smart Environments: An Overview.

Über Autor(innen)

Prof. Dr. FADI AL-TURJMAN received his Ph.D. degree in computer science from Queen’s University, Canada, in 2011. He is a Professor with Antalya Bilim University, Turkey. He is a leading authority in the areas of smart/cognitive, wireless and mobile networks’ architectures, protocols, deployments, and performance evaluation. His record spans over 180 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has authored/edited more than 10 books about cognition, security, and wireless sensor networks’ deployments in smart environments with Taylor & Francis, and the Springer (Top tier publishers in the area). He was a recipient of several recognitions and best papers’ awards at top international conferences. He led a number of international symposia and workshops in flag-ship ComSoc conferences. He is serving as the Lead Guest Editor in several journals, including the IET Wireless Sensor Systems and Sensors (MDPI and Wiley). He is also the Publication Chair for the IEEE International Conference on Local Computer Networks.