ISO-690 (author-date, English)

CORREIA, Sérgio D., ROQUE, Pedro M., MATOS-CARVALHO, João P., UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS und CTS - CENTRO DE TECNOLOGIA E SISTEMAS, 2024. LSTM Gate Disclosure as an Embedded AI Methodology for Wearable Fall-Detection Sensors †. . 1 Januar 2024. DOI 10.3390/sym16101296.

Elsevier - Harvard (with titles)

Correia, S.D., Roque, P.M., Matos-Carvalho, J.P., UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias, CTS - Centro de Tecnologia e Sistemas, 2024. LSTM Gate Disclosure as an Embedded AI Methodology for Wearable Fall-Detection Sensors †. https://doi.org/10.3390/sym16101296

American Psychological Association 7th edition

Correia, S. D., Roque, P. M., Matos-Carvalho, J. P., UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias, & CTS - Centro de Tecnologia e Sistemas. (2024). LSTM Gate Disclosure as an Embedded AI Methodology for Wearable Fall-Detection Sensors †. https://doi.org/10.3390/sym16101296

Springer - Basic (author-date)

Correia SD, Roque PM, Matos-Carvalho JP, UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias, CTS - Centro de Tecnologia e Sistemas (2024) LSTM Gate Disclosure as an Embedded AI Methodology for Wearable Fall-Detection Sensors †. https://doi.org/10.3390/sym16101296

Juristische Zitierweise (Stüber) (Deutsch)

Correia, Sérgio D./ Roque, Pedro M./ Matos-Carvalho, João P./ UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias/ CTS - Centro de Tecnologia e Sistemas, LSTM Gate Disclosure as an Embedded AI Methodology for Wearable Fall-Detection Sensors †, 2024.

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