DYNAMIC HYPERLEDGER NFT ON FEDERATED LEARNING FOR PSYCHIATRIC SERVICES IN THE COVID-19 TIMES

【Author】 Aguilera, Ricardo Carreno; Banda, Adan Acosta; Ortiz, Miguel Patino; Ortiz, Julian Patino

【Source】FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY

【影响因子】4.555

【Abstract】This paper proposes an innovative method to take advantage of Blockchain Convolutional Neural Networks (BCNNs) in Emotion Recognition (ER). Based on Artificial Intelligence, this proposal uses audio-visual emotion patterns to determine psychiatric profiles to attend to the most urgent as a priority. BCNN architectures were used to identify emergency patterns. The results indicate that the proposed method is adequate for classifying and identifying audio-visual patterns using Deep Learning (DL) with Boltzmann's restricted machines. It is concluded that it is sufficient to consider the audio-visible critical features from the patient's face and voice for the proposed model to recognize a psychiatric services emergency for immediate action: the emergency with no control and the Emergency under control. User personal dynamic profiles are stored in the blockchain ecosystem since they are deemed sensitive data. System security is provided by blockchain and authentication uses non-fungible tokens (NFT) technology.

【Keywords】Blockchain Convolutional Neural Network (BCNN); Emotion Recognition (ER); Non-fungible Tokens (NFT)

【发表时间】2023 2023 AUG 1

【收录时间】2023-08-17

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