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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This reprint focuses on state-of-the-art technologies, the latest findings and current challenges in IoT with emphasis on healthcare, transportation, antenna design and disease detection. The included papers cover numerous topics of interest that include:
IoT communication protocols;
LPWAN for IoT (Sigfox, LoRa, etc.);
Antenna design for IoT applications;
Large-scale, high-density IoT networks and architectures;
IoT applications and multi-sensors for transportation and traffic control;
IoT convergence for Smart Health;
Machine-learning/deep-learning algorithms for sensing IoT;
Machine-learning-based healthcare applications and disease detection using IoT architectures;
Applications and examples of use.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This reprint focuses on state-of-the-art technologies, the latest findings and current challenges in IoT with emphasis on healthcare, transportation, antenna design and disease detection. The included papers cover numerous topics of interest that include:
IoT communication protocols;
LPWAN for IoT (Sigfox, LoRa, etc.);
Antenna design for IoT applications;
Large-scale, high-density IoT networks and architectures;
IoT applications and multi-sensors for transportation and traffic control;
IoT convergence for Smart Health;
Machine-learning/deep-learning algorithms for sensing IoT;
Machine-learning-based healthcare applications and disease detection using IoT architectures;
Applications and examples of use.