Recent Advances in Internet of Things and Machine Learning is popular PDF and ePub book, written by Valentina E. Balas in 2023-02-16, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Recent Advances in Internet of Things and Machine Learning can be Read Online from any device for your convenience.

Recent Advances in Internet of Things and Machine Learning Book PDF Summary

This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.

Detail Book of Recent Advances in Internet of Things and Machine Learning PDF

Recent Advances in Internet of Things and Machine Learning
  • Author : Valentina E. Balas
  • Release : 16 February 2023
  • Publisher : Springer
  • ISBN : 3030901211
  • Genre : Technology & Engineering
  • Total Page : 0 pages
  • Language : English
  • PDF File Size : 10,6 Mb

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