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Advances And Trends In Artificial Intelligence Theory And Practices In Artificial Intelligence 35th International Conference On Industrial Engineering Ieaaie 2022 1st Ed 2022 Hamido Fujita

  • SKU: BELL-45333692
Advances And Trends In Artificial Intelligence Theory And Practices In Artificial Intelligence 35th International Conference On Industrial Engineering Ieaaie 2022 1st Ed 2022 Hamido Fujita
$ 31.00 $ 45.00 (-31%)

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Advances And Trends In Artificial Intelligence Theory And Practices In Artificial Intelligence 35th International Conference On Industrial Engineering Ieaaie 2022 1st Ed 2022 Hamido Fujita instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 68.92 MB
Pages: 957
Author: Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang, (eds)
ISBN: 9783031085291, 3031085299
Language: English
Year: 2022
Edition: 1st ed. 2022

Product desciption

Advances And Trends In Artificial Intelligence Theory And Practices In Artificial Intelligence 35th International Conference On Industrial Engineering Ieaaie 2022 1st Ed 2022 Hamido Fujita by Hamido Fujita, Philippe Fournier-viger, Moonis Ali, Yinglin Wang, (eds) 9783031085291, 3031085299 instant download after payment.

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet 

of 

Things is a term that has been introduced in recent years to define devices that are able to connect and transfer 

data 

to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can 

learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. 

Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in 

the 

data that smart sensors and devices generate, and it can have significant advantages over traditional business 

intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times 

earlier  

and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as 

speech recognition and computer vision can help extract insights fro

m data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid 

unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk 

management.

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