Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Torquato MF"'
Autor:
Santos CEB Jr; InovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil.; Leading Advanced Technologies Center of Excellence (LANCE), nPITI/IMD, UFRN, Natal 59078-970, Brazil., Silva LMDD; InovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil.; Leading Advanced Technologies Center of Excellence (LANCE), nPITI/IMD, UFRN, Natal 59078-970, Brazil.; Federal Institute of Education, Science and Technology of Rio Grande do Norte, Santa Cruz 59200-000, Brazil., Torquato MF; InovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil., Silva SN; InovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil.; Leading Advanced Technologies Center of Excellence (LANCE), nPITI/IMD, UFRN, Natal 59078-970, Brazil., Fernandes MAC; InovAI Lab, nPITI/IMD, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, Brazil.; Leading Advanced Technologies Center of Excellence (LANCE), nPITI/IMD, UFRN, Natal 59078-970, Brazil.; Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil.
Publikováno v:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Jun 17; Vol. 24 (12). Date of Electronic Publication: 2024 Jun 17.
Autor:
Junior JCVS; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil., Silva SN; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil., Torquato MF; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil., Mahmoodi T; Centre for Telecommunications Research, Department of Engineering, King's College London, London WC2R 2LS, UK., Dohler M; Centre for Telecommunications Research, Department of Engineering, King's College London, London WC2R 2LS, UK., Fernandes MAC; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.; Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.
Publikováno v:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Oct 16; Vol. 22 (20). Date of Electronic Publication: 2022 Oct 16.
Autor:
Câmara GBM; Bioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil., Coutinho MGF; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil., Silva LMDD; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.; Federal Institute of Education, Science and Technology of Rio Grande do Norte, Paraiso, Santa Cruz 59200-000, RN, Brazil., Gadelha WVDN; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil., Torquato MF; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil., Barbosa RM; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.; Department of Pharmacy and Pharmaceutical Technology, University of Granada, 18071 Granada, Spain., Fernandes MAC; Bioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.; Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.
Publikováno v:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Jul 31; Vol. 22 (15). Date of Electronic Publication: 2022 Jul 31.
Autor:
Oliveira JF; Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil. julianlanzin@gmail.com.; Centre of Mathematics of the University of Porto (CMUP), Department of Mathematics, Porto, Portugal. julianlanzin@gmail.com., Jorge DCP; Instituto de Física, Universidade Federal da Bahia, Salvador, Bahia, Brazil., Veiga RV; Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil., Rodrigues MS; Fundação Oswaldo Cruz, Porto Velho, Rondônia, Brazil., Torquato MF; College of Engineering, Swansea University, Swansea, Wales, UK., da Silva NB; Instituto de Matemática e Estatística, Universidade Federal da Bahia, Salvador, Bahia, Brazil., Fiaccone RL; Instituto de Matemática e Estatística, Universidade Federal da Bahia, Salvador, Bahia, Brazil., Cardim LL; Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil., Pereira FAC; Instituto de Física, Universidade de São Paulo, São Paulo, Brazil., de Castro CP; Instituto de Física, Universidade Federal da Bahia, Salvador, Bahia, Brazil., Paiva ASS; Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil., Amad AAS; College of Engineering, Swansea University, Swansea, Wales, UK., Lima EABF; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA., Souza DS; Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil., Pinho STR; Instituto de Física, Universidade Federal da Bahia, Salvador, Bahia, Brazil., Ramos PIP; Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil., Andrade RFS; Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.; Instituto de Física, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Publikováno v:
Nature communications [Nat Commun] 2021 Jan 12; Vol. 12 (1), pp. 333. Date of Electronic Publication: 2021 Jan 12.
Autor:
Barros WKP; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil., Morais DS; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil., Lopes FF; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil., Torquato MF; College of Engineering, Swansea University, Swansea, Wales SA2 8PP, UK., Barbosa RM; Laboratory of Drug Development, Department of Pharmacy, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil., Fernandes MAC; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil.; Department of Computer and Automation Engineering, Federal University of Rio Grande do Norte, Natal, RN 59078-970, Brazil.
Publikováno v:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Jun 03; Vol. 20 (11). Date of Electronic Publication: 2020 Jun 03.
Autor:
Torquato MF; Dermatology Department, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil. Electronic address: marytorquato@hotmail.com., Costa MKSD; Dermatology Department, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil., Nico MMS; Dermatology Department, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
Publikováno v:
Anais brasileiros de dermatologia [An Bras Dermatol] 2020 Jan - Feb; Vol. 95 (1), pp. 57-62. Date of Electronic Publication: 2019 Nov 30.
Autor:
Junior JCVS; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil., Torquato MF; College of Engineering, Swansea University, Swansea, Wales SA2 8PP, UK., Noronha DH; Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada., Silva SN; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil., Fernandes MAC; Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil.; Department of Computer and Automation Engineering, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil.
Publikováno v:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Nov 18; Vol. 19 (22). Date of Electronic Publication: 2019 Nov 18.