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Manual sleep-scoring is very time-consuming, so machine-learning classifier algorithms have been used to automate scoring.
So far IT has been used to automate and optimise processes within firms and other organisations as well as the dealings between them.
Traditional techniques based on the item response theory (IRT) have been used to automate this task, but they require model parameters to be determined a priori for each item and their application becomes more tedious with larger item banks.
Google's release in 2015 of its internal machine-learning software, TensorFlow, has helped accelerate the wide-scale development of AI, but it has also been used to automate the creation of lifelike fake videos that have been used for harassment and disinformation.
SBSE has been used to automate this process, thus decreasing time taken to restructure a program.
Particle filtering (PF) has also been used to automate detection and localization [16, 17].
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Graph transformation is increasingly being used to automate this conversion.
Machine learning is being used to automate the detection of eye diseases.
It can be used to automate high-volume, low-complexity, and routine tasks.
tgdetect2 can now be used to automate the selection of the best detect method.
This process integration software can be used to automate a multistep business function, like handling an insurance claim.
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