Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Paiva, António"'
Autor:
Tewari, Ashutosh, Paiva, Antonio R.
Identifying and mitigating safety risks is paramount in a number of industries. In addition to guidelines and best practices, many industries already have safety management systems (SMSs) designed to monitor and reinforce good safety behaviors. The a
Externí odkaz:
http://arxiv.org/abs/2205.00894
Autor:
Paiva, Antonio R., Tewari, Ashutosh
There has been a significant increase in the development of data-driven safety analytics approaches in recent years. In light of these advances it has become imperative to evaluate such approaches in a principled way to determine their merits and lim
Externí odkaz:
http://arxiv.org/abs/2203.10416
Autor:
Zheng, Haining, Paiva, Antonio
The proliferation of IoT sensors and their deployment in various industries and applications has brought about numerous analysis opportunities in this Big Data era. However, drift of those sensor measurements poses major challenges to automate data a
Externí odkaz:
http://arxiv.org/abs/2109.04356
Autor:
Baldez, Waléria M.C., Santos, Josefa D.J.P., Santos, Wemerson D.C., Aguilar-Pliego, Julia, Martín, Nancy, Cabral, Aluisio A., Paiva, Antônio E.M., Rodrigues, Samuel F., Teixeira, Mayara M., Alcântara, Ana C.S., Rojas, Alex
Publikováno v:
In Desalination and Water Treatment April 2024 318
Autor:
Paiva, Antonio R., Pilloni, Giovanni
Growth rates and biomass yields are key descriptors used in microbiology studies to understand how microbial species respond to changes in the environment. Of these, biomass yield estimates are typically obtained using cell counts and measurements of
Externí odkaz:
http://arxiv.org/abs/2010.02759
As Artificial Intelligent (AI) technology advances and increasingly large amounts of data become readily available via various Industrial Internet of Things (IIoT) projects, we evaluate the state of the art of predictive maintenance approaches and pr
Externí odkaz:
http://arxiv.org/abs/2009.00351
In processing and manufacturing industries, there has been a large push to produce higher quality products and ensure maximum efficiency of processes. This requires approaches to effectively detect and resolve disturbances to ensure optimal operation
Externí odkaz:
http://arxiv.org/abs/1911.04386
Akademický článek
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Autor:
Paixão, Flávia Carvalho de Oliveira, Rodrigues, Vandilson Pinheiro, George, Roy, Souza, Soraia de Fátima Carvalho, Paiva, Antonio Ernandes Macêdo, Pereira, Adriana de Fátima Vasconcelos
Publikováno v:
In The Saudi Dental Journal November 2022 34(7):617-622
Autor:
Linan, Lamia Zuniga, Cidreira, Anne C. Mendonça, da Rocha, Cláudia Quintino, de Menezes, Fabrícia Farias, Rocha, George J de Moraes, Paiva, Antônio E Macedo
Publikováno v:
In Journal of Bioresources and Bioproducts November 2021 6(4):323-337