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Artigo de periodico
Bioremediation potential of Dicentrarchus labrax fish scales for dye‑based emerging contaminants by ANN–GA hybrid modeling (2022)
Oliveira, Icaro Mota ; Jesus, Roberta Anjos de; Nascimento, Victor Ruan Silva; Bilal, Muhammad ; Iqbal, Hafiz M. N. ; Ferreira, Luiz Fernando Romanholo ; Cestari, Antônio Reinaldo
Source: Bioprocess and Biosystems Engineering. Unidade: IQSC
Subjects: FÍSICO-QUÍMICA, SOLUÇÕES AQUOSAS, CORANTES, ROBALO, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Icaro Mota et al. Bioremediation potential of Dicentrarchus labrax fish scales for dye‑based emerging contaminants by ANN–GA hybrid modeling. Bioprocess and Biosystems Engineering, v. 45, n. 7, p. 1189-1200, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00449-022-02735-7. Acesso em: 07 jul. 2024.
APA
Oliveira, I. M., Jesus, R. A. de, Nascimento, V. R. S., Bilal, M., Iqbal, H. M. N., Ferreira, L. F. R., & Cestari, A. R. (2022). Bioremediation potential of Dicentrarchus labrax fish scales for dye‑based emerging contaminants by ANN–GA hybrid modeling. Bioprocess and Biosystems Engineering, 45( 7), 1189-1200. doi:10.1007/s00449-022-02735-7
NLM
Oliveira IM, Jesus RA de, Nascimento VRS, Bilal M, Iqbal HMN, Ferreira LFR, Cestari AR. Bioremediation potential of Dicentrarchus labrax fish scales for dye‑based emerging contaminants by ANN–GA hybrid modeling [Internet]. Bioprocess and Biosystems Engineering. 2022 ; 45( 7): 1189-1200.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1007/s00449-022-02735-7
Vancouver
Oliveira IM, Jesus RA de, Nascimento VRS, Bilal M, Iqbal HMN, Ferreira LFR, Cestari AR. Bioremediation potential of Dicentrarchus labrax fish scales for dye‑based emerging contaminants by ANN–GA hybrid modeling [Internet]. Bioprocess and Biosystems Engineering. 2022 ; 45( 7): 1189-1200.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1007/s00449-022-02735-7
Artigo de periodico
SELFIES and the future of molecular string representations (2022)
Krenn, Mario; Ai, Qianxiang; Barthel, Senja; Carson, Nessa; Frei, Angelo; Frey, Nathan C.; Friederich, Pascal; Gaudin, Théophile; Gayle, Alberto Alexander; Lameiro, Rafael da Fonseca ; Lemm, Dominik; Lo, Alston; Moosavi, Seyed Mohamad; Duarte, José Manuel Nápoles; Nigam, AkshatKumar; Pollice, Robert; Rajan, Kohulan; Guzik, Alán Aspuru
Source: Patterns. Unidade: IQSC
Subjects: INTELIGÊNCIA ARTIFICIAL, MOLÉCULA, SELFIE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KRENN, Mario et al. SELFIES and the future of molecular string representations. Patterns, v. 3, n. 10, p. 100588, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.patter.2022.100588. Acesso em: 07 jul. 2024.
APA
Krenn, M., Ai, Q., Barthel, S., Carson, N., Frei, A., Frey, N. C., et al. (2022). SELFIES and the future of molecular string representations. Patterns, 3( 10), 100588. doi:10.1016/j.patter.2022.100588
NLM
Krenn M, Ai Q, Barthel S, Carson N, Frei A, Frey NC, Friederich P, Gaudin T, Gayle AA, Lameiro R da F, Lemm D, Lo A, Moosavi SM, Duarte JMN, Nigam AK, Pollice R, Rajan K, Guzik AA. SELFIES and the future of molecular string representations [Internet]. Patterns. 2022 ;3( 10): 100588.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1016/j.patter.2022.100588
Vancouver
Krenn M, Ai Q, Barthel S, Carson N, Frei A, Frey NC, Friederich P, Gaudin T, Gayle AA, Lameiro R da F, Lemm D, Lo A, Moosavi SM, Duarte JMN, Nigam AK, Pollice R, Rajan K, Guzik AA. SELFIES and the future of molecular string representations [Internet]. Patterns. 2022 ;3( 10): 100588.[citado 2024 jul. 07 ] Available from: https://doi.org/10.1016/j.patter.2022.100588
Trabalho de evento
Active perception system for recognition of 3D objects in image sequences (1998)
Okamoto Junior, Jun ; Milanova, Mariofanna ; Buker, Ulrich
Source: Proceedings. Conference titles: International Workshop on Advanced Motion Control. Unidade: EP
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OKAMOTO JUNIOR, Jun e MILANOVA, Mariofanna e BUKER, Ulrich. Active perception system for recognition of 3D objects in image sequences. 1998, Anais.. Piscataway: IEEE, 1998. Disponível em: https://repositorio.usp.br/directbitstream/3ed83b3c-9c30-4875-b175-20d99c36728b/Okamoto-1998-ACTIVE%20PERCEPTION%20SYSTEM%20FOR%20RECOGNITION%20OF%203D.pdf. Acesso em: 07 jul. 2024.
APA
Okamoto Junior, J., Milanova, M., & Buker, U. (1998). Active perception system for recognition of 3D objects in image sequences. In Proceedings. Piscataway: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/3ed83b3c-9c30-4875-b175-20d99c36728b/Okamoto-1998-ACTIVE%20PERCEPTION%20SYSTEM%20FOR%20RECOGNITION%20OF%203D.pdf
NLM
Okamoto Junior J, Milanova M, Buker U. Active perception system for recognition of 3D objects in image sequences [Internet]. Proceedings. 1998 ;[citado 2024 jul. 07 ] Available from: https://repositorio.usp.br/directbitstream/3ed83b3c-9c30-4875-b175-20d99c36728b/Okamoto-1998-ACTIVE%20PERCEPTION%20SYSTEM%20FOR%20RECOGNITION%20OF%203D.pdf
Vancouver
Okamoto Junior J, Milanova M, Buker U. Active perception system for recognition of 3D objects in image sequences [Internet]. Proceedings. 1998 ;[citado 2024 jul. 07 ] Available from: https://repositorio.usp.br/directbitstream/3ed83b3c-9c30-4875-b175-20d99c36728b/Okamoto-1998-ACTIVE%20PERCEPTION%20SYSTEM%20FOR%20RECOGNITION%20OF%203D.pdf

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