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Fadi (Hrsg.) Al-Turjman

Artificial Intelligence in IoT

Ebook (PDF Format)

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 i… Mehr

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Produktdetails


  • ISBN: 978-3-030-04110-6
  • EAN: 9783030041106
  • Produktnummer: 29948844
  • Verlag: Springer
  • Sprache: Englisch
  • Erscheinungsjahr: 2019
  • Plattform: PDF
  • Masse: 6'301 KB

Über den Autor


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.

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