ReP USP - Resultado da busca

Artigo de periodico
Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow (2024)
Hamidishad, Nayereh ; César Júnior, Roberto Marcondes
Source: Journal of Applied Remote Sensing. Unidades: IME, EP
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RESERVATÓRIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAMIDISHAD, Nayereh e CÉSAR JÚNIOR, Roberto Marcondes. Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow. Journal of Applied Remote Sensing, v. 18, n. artigo 018502, p. 1-20, 2024Tradução . . Disponível em: https://doi.org/10.1117/1.JRS.18.018502. Acesso em: 24 maio 2024.
APA
Hamidishad, N., & César Júnior, R. M. (2024). Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow. Journal of Applied Remote Sensing, 18( artigo 018502), 1-20. doi:10.1117/1.JRS.18.018502
NLM
Hamidishad N, César Júnior RM. Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow [Internet]. Journal of Applied Remote Sensing. 2024 ; 18( artigo 018502): 1-20.[citado 2024 maio 24 ] Available from: https://doi.org/10.1117/1.JRS.18.018502
Vancouver
Hamidishad N, César Júnior RM. Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow [Internet]. Journal of Applied Remote Sensing. 2024 ; 18( artigo 018502): 1-20.[citado 2024 maio 24 ] Available from: https://doi.org/10.1117/1.JRS.18.018502
Tese (Doutorado)
Two-phase methods to segment man-made objects around reservoirs (2023)
Hamidishad, Nayereh; César Júnior, Roberto Marcondes (Orientador)
Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RESERVATÓRIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAMIDISHAD, Nayereh. Two-phase methods to segment man-made objects around reservoirs. 2023. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-05062023-071021/. Acesso em: 24 maio 2024.
APA
Hamidishad, N. (2023). Two-phase methods to segment man-made objects around reservoirs (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-05062023-071021/
NLM
Hamidishad N. Two-phase methods to segment man-made objects around reservoirs [Internet]. 2023 ;[citado 2024 maio 24 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-05062023-071021/
Vancouver
Hamidishad N. Two-phase methods to segment man-made objects around reservoirs [Internet]. 2023 ;[citado 2024 maio 24 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-05062023-071021/
Artigo de periodico
Carbon capture and storage energy consumption and performance optimization using metamodels and response surface methodology (2022)
Bidgoli, Ali Allahyarzadeh ; Hamidishad, Nayereh; Yanagihara, Jurandir Itizo
Source: Journal of Energy Resources Technology. Unidade: EP
Subjects: SUSTENTABILIDADE, DIÓXIDO DE CARBONO, GÁS CARBÔNICO, ESTRUTURAS OFFSHORE FLUTUANTES, PROCESSOS DE SEPARAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIDGOLI, Ali Allahyarzadeh e HAMIDISHAD, Nayereh e YANAGIHARA, Jurandir Itizo. Carbon capture and storage energy consumption and performance optimization using metamodels and response surface methodology. Journal of Energy Resources Technology, v. 44, n. 5, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1115/1.4051679. Acesso em: 24 maio 2024.
APA
Bidgoli, A. A., Hamidishad, N., & Yanagihara, J. I. (2022). Carbon capture and storage energy consumption and performance optimization using metamodels and response surface methodology. Journal of Energy Resources Technology, 44( 5), 1-12. doi:10.1115/1.4051679
NLM
Bidgoli AA, Hamidishad N, Yanagihara JI. Carbon capture and storage energy consumption and performance optimization using metamodels and response surface methodology [Internet]. Journal of Energy Resources Technology. 2022 ; 44( 5): 1-12.[citado 2024 maio 24 ] Available from: https://doi.org/10.1115/1.4051679
Vancouver
Bidgoli AA, Hamidishad N, Yanagihara JI. Carbon capture and storage energy consumption and performance optimization using metamodels and response surface methodology [Internet]. Journal of Energy Resources Technology. 2022 ; 44( 5): 1-12.[citado 2024 maio 24 ] Available from: https://doi.org/10.1115/1.4051679
Trabalho de evento
Object-based method for identifying new constructions around water reservoirs: preliminary results (2019)
Hamidishad, Nayereh; César Júnior, Roberto Marcondes
Source: Anais estendidos. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAMIDISHAD, Nayereh e CÉSAR JÚNIOR, Roberto Marcondes. Object-based method for identifying new constructions around water reservoirs: preliminary results. 2019, Anais.. Porto Alegre: SBC, 2019. Disponível em: https://doi.org/10.5753/sibgrapi.est.2019.8322. Acesso em: 24 maio 2024.
APA
Hamidishad, N., & César Júnior, R. M. (2019). Object-based method for identifying new constructions around water reservoirs: preliminary results. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/sibgrapi.est.2019.8322
NLM
Hamidishad N, César Júnior RM. Object-based method for identifying new constructions around water reservoirs: preliminary results [Internet]. Anais estendidos. 2019 ;[citado 2024 maio 24 ] Available from: https://doi.org/10.5753/sibgrapi.est.2019.8322
Vancouver
Hamidishad N, César Júnior RM. Object-based method for identifying new constructions around water reservoirs: preliminary results [Internet]. Anais estendidos. 2019 ;[citado 2024 maio 24 ] Available from: https://doi.org/10.5753/sibgrapi.est.2019.8322

USP Schools

ReP

Filtros

Subjects

Funding Agencies