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Fig 1.

Hidden Markov Models.

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Fig 2.

Overall framework.

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Fig 3.

Clustering of 50 topics.

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Fig 4.

The number of patent applications in the field of industrial Internet from 1965 to 2023.

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Fig 5.

Industrial Internet patent topic.

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Fig 6.

Patent subject word frequency distribution.

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Table 1.

Patent topic keyword.

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Fig 7.

Hidden Markov Model based on patent topic evolution.

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Table 2.

Hidden Markov hidden transition probability moment.

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Table 2 Expand

Fig 8.

Observation sequence diagram.

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Fig 9.

Comparison of hidden state prediction based on the Viterbi algorithm.

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Fig 10.

The true value of the hidden state based on Viterbi algorithm.

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Fig 11.

The predicted value of the hidden state based on Viterbi algorithm.

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Fig 12.

The development trend of industrial Internet patent technology according to the year division.

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