Our research, leading to these results, has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowvska-Curie grant agreement 871284 project SSHARE and the European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020), under project POCI-01-0145-FEDER-029494, and by national funds through the FCT—Portuguese Foundation for Science and Technology, under projects PTDC/EEI-EEE/29494/2017, UIDB/04131/2020, and UIDP/04131/2020

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Our research, leading to these results, has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowvska-Curie grant agreement 871284 project SSHARE and the European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020), under project POCI-01-0145-FEDER-029494, and by national funds through the FCT—Portuguese Foundation for Science and Technology, under projects PTDC/EEI-EEE/29494/2017, UIDB/04131/2020, and UIDP/04131/2020

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Issue DateTitleAuthor(s)TypeAccess
12023Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and Hidden Markov ModelsMartins, Alexandre; Mateus, Balduíno; Fonseca, Inácio ; Farinha, José Torres ; Rodrigues, João; Mendes, Mateus; Cardoso, António MarquesarticleopenAccess