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Engineering proceedings

Verlag

MDPI

URL

https://ld.zdb-services.de/resource/3042283-8

ISSN

2673-4591

eISSN

2673-4591

ZDBID

3042283-8

Forecasting Vital Signs in Human–Robot Collaboration Using Sequence-to-Sequence Models with Bidirectional LSTM: A Comparative Analysis of Uni- and Multi-Variate Approaches
Promoting Autonomy in Care

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Forecasting Vital Signs in Human–Robot Collaboration Using Sequence-to-Sequence Models with Bidirectional LSTM: A Comparative Analysis of Uni- and Multi-Variate Approaches
Promoting Autonomy in Care

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