Advances and Trends in Artificial Intelligence. Theory and...

Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence: 35th International Conference on Industrial Engineering, IEA/AIE 2022

Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang, (eds)
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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.

კატეგორია:
წელი:
2022
გამოცემა:
1st ed. 2022
გამომცემლობა:
Springer
ენა:
english
გვერდები:
957
ISBN 10:
3031085299
ISBN 13:
9783031085291
სერია:
Lecture Notes in Computer Science, 13343
ფაილი:
PDF, 68.92 MB
IPFS:
CID , CID Blake2b
english, 2022
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