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1
Meta-Learning applied to Neural Architecture Search. Towards new interactive learning approaches for indexing and analyzing images from expert domains
Meta-Learning applied to Neural Architecture Search. Towards new interactive learning approaches for indexing and analyzing images from expert domains
Material Type:
Tesis de Doctorado 		Añadir a Mi Portal

Meta-Learning applied to Neural Architecture Search. Towards new interactive learning approaches for indexing and analyzing images from expert domains

Pereira, Gean Trindade

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação 2024-03-18

Acceso en línea

2
Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning
Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning
Material Type:
Artículo 		Añadir a Mi Portal

Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning

Sina Borzooei Leonardo Scabini; Gisele Helena Barboni Miranda; Saba Daneshgar; Lukas Deblieck; Odemir Martinez Bruno; Piet De Langhe; Bernard De Baets; Ingmar Nopens; Elena Torfs

Journal of Water Process Engineering Amsterdam v. 64, p. 105692-1-105692-13, Jul. 2024

Amsterdam 2024

Disponible en IFSC - Inst. Física de São Carlos    (PROD035972 )(Obténgalo)

3
Radiographic and spectral images of rice seeds and the photosynthetic efficiency of seedlings
Radiographic and spectral images of rice seeds and the photosynthetic efficiency of seedlings
Material Type:
Artículo 		Añadir a Mi Portal

Radiographic and spectral images of rice seeds and the photosynthetic efficiency of seedlings

Artur Sousa Silva Silvio Moure Cicero; Francisco Guilhien Gomes Junior

Scientia Agricola Piracicaba v. 81, art. e20220029, p.1-10, 2024

Piracicaba 2024

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4
Computational fluid dynamics in carbonate rock wormholes using magnetic resonance images as structural information
Computational fluid dynamics in carbonate rock wormholes using magnetic resonance images as structural information
Material Type:
Artículo 		Añadir a Mi Portal

Computational fluid dynamics in carbonate rock wormholes using magnetic resonance images as structural information

Gustavo Solcia Bernd Uwe Foerster; Mariane Barsi Andreeta; Tito José Bonagamba; Fernando Fernandes Paiva

Applied Computing and Geosciences Amsterdam v. 23, p. 100172-1-100172-6, Sept. 2024

Amsterdam 2024

Disponible en IFSC - Inst. Física de São Carlos    (PROD035970 )(Obténgalo)

5
Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images
Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images
Material Type:
Artículo 		Añadir a Mi Portal

Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images

Abdullah Swaity Bahaaeldeen M Elgarba; Nermin Morgan; Saleem Ali; Sohaib Shujaat; Elena Borsci; Reinhilde Jacobs; Israel Chilvarquer

Scientific Reports London Online, v. 14, 2024

London 2024

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6
Classification of sugarcane areas in Landsat images using machine learning algorithms
Classification of sugarcane areas in Landsat images using machine learning algorithms
Material Type:
Artículo 		Añadir a Mi Portal

Classification of sugarcane areas in Landsat images using machine learning algorithms

Ana Clara Arantes Villas Bôas de Barros Marcelo Andrade Silva; Rodrigo Domiciano Marques; Cristian Marcelo Villegas Lobos; Ana Cláudia dos Santos Luciano

Brazilian Journal of Biometrics Lavras v. 42, p. 147–157, 2024

Lavras 2024

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7
Transforming standard RGB images in 3D digital phantoms for Monte Carlo simulations
Transforming standard RGB images in 3D digital phantoms for Monte Carlo simulations
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

Transforming standard RGB images in 3D digital phantoms for Monte Carlo simulations

Marlon Rodrigues Garcia Otávio Perez Palamoni; Lilian Tan Moriyama; International Laser Physics Workshop - LPHYS'24 (32. 2024 São Carlos)

Program Bristol: Institute of Physics - IOP, 2024

Bristol Institute of Physics - IOP 2024

Acceso en línea

8
Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images
Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images
Material Type:
Artículo 		Añadir a Mi Portal

Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images

Victor Hugo Andrade Soares Moacir Antonelli Ponti; Ricardo José Gabrielli Barreto Campello

Computers and Electronics in Agriculture Kidlington v. 220, p. 1-18, May 2024

Kidlington 2024

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3189619 )(Obténgalo)

9
An Experiment with Images on Galilean Invariance to Throw Light on the Symmetry of Newton’s Laws
An Experiment with Images on Galilean Invariance to Throw Light on the Symmetry of Newton’s Laws
Material Type:
Artículo 		Añadir a Mi Portal

An Experiment with Images on Galilean Invariance to Throw Light on the Symmetry of Newton’s Laws

Nora Lia Maidana Vito Roberto Vanin; Agustín Adúriz-Bravo

Physics Teacher New York v. 62, n. 3, p. 205–209, 2024

New York AIP Publishing 2024

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10
Are computed tomography images of the mandible useful in age and sex determination? a forensic science meta-analysis
Are computed tomography images of the mandible useful in age and sex determination? a forensic science meta-analysis
Material Type:
Artículo 		Añadir a Mi Portal

Are computed tomography images of the mandible useful in age and sex determination? a forensic science meta-analysis

Luciana Munhoz Shunsuke Okada; Miki Hisatomi; Yoshinobu Yanag; Junich Asaumi; Emiko Saito Arita

Journal of Forensic Odonto-Stomatology Florence Online, v. 42, n. 1-38, Apr. 2024

Florence 2024

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