logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Sensor Networks Physical And Social Sensing In The Iot Suparna De

  • SKU: BELL-54692320
Sensor Networks Physical And Social Sensing In The Iot Suparna De
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Sensor Networks Physical And Social Sensing In The Iot Suparna De instant download after payment.

Publisher: MDPI
File Extension: PDF
File size: 40.28 MB
Pages: 318
Author: Suparna De, Klaus Moessner
ISBN: 9783036574691, 3036574697
Language: English
Year: 2023

Product desciption

Sensor Networks Physical And Social Sensing In The Iot Suparna De by Suparna De, Klaus Moessner 9783036574691, 3036574697 instant download after payment.

This reprint presents a collection of original research and survey articles that tackle the practical challenges in large-scale and rapid deployment of sensors for diverse applications as well as the resulting Big Data processing. The complexity of the generated data ranges from large-scale sensor networks to smartphone-enabled citizen sensing data from social networks and personal health devices, which requires advanced data processing, mining and fusion methods. Solutions listed in this book include those that address issues of the interoperability of IoT solutions and data fragmentation through crawling, indexing and searching IoT data sources and the predictive maintenance of sensors. Social networks are also in scope, through a visualisation system for the analysis of anomalies in social graphs, detecting context-aware sociability patterns and assessing the effectiveness of fine tuning and pretrained word embedding in generating interpretable topics from short texts in social networks. Applications in scope include smart tourism, fall detection through personal health sensors and an energy management expert assistant.

Related Products