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Refinado por: assunto: datasets remover
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1
Large Volume 3D Electron Backscatter Diffraction Characterization of Lath Martensite in 13%Cr-4%Ni Stainless Steel by Xe Plasma FIB
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Large Volume 3D Electron Backscatter Diffraction Characterization of Lath Martensite in 13%Cr-4%Ni Stainless Steel by Xe Plasma FIB

Mosayebi, Mehdi ; Yuan, Hui ; Huang, Betty ; Paquet, Daniel ; Deschênes, Pierre-Antony ; Bassim, Nabil

Microscopy and microanalysis, 2022-08, Vol.28 (S1), p.300-305 [Periódico revisado por pares]

New York, USA: Cambridge University Press

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High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel
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High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel

DeCost, Brian L. ; Lei, Bo ; Francis, Toby ; Holm, Elizabeth A.

Microscopy and microanalysis, 2019-02, Vol.25 (1), p.21-29 [Periódico revisado por pares]

New York, USA: Cambridge University Press

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3
Can the compressive strength of concrete be estimated from knowledge of the mixture proportions?: New insights from statistical analysis and machine learning methods
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Can the compressive strength of concrete be estimated from knowledge of the mixture proportions?: New insights from statistical analysis and machine learning methods

Young, Benjamin A. ; Hall, Alex ; Pilon, Laurent ; Gupta, Puneet ; Sant, Gaurav

Cement and concrete research, 2019-01, Vol.115, p.379-388 [Periódico revisado por pares]

Elmsford: Elsevier Ltd

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4
A deep learning approach based on a data-driven tool for classification and prediction of thermoelastic wave's band structures for phononic crystals
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A deep learning approach based on a data-driven tool for classification and prediction of thermoelastic wave's band structures for phononic crystals

Javadi, Shirin ; Maghami, Ali ; Hosseini, Seyed Mahmoud

Mechanics of advanced materials and structures, 2022-12, Vol.29 (27), p.6612-6625 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations
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Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations

Habraken, Anne Marie ; Aksen, Toros Arda ; Alves, José L. ; Amaral, Rui L. ; Betaieb, Ehssen ; Chandola, Nitin ; Corallo, Luca ; Cruz, Daniel J. ; Duchêne, Laurent ; Engel, Bernd ; Esener, Emre ; Firat, Mehmet ; Frohn-Sörensen, Peter ; Galán-López, Jesús ; Ghiabakloo, Hadi ; Kestens, Leo A. I. ; Lian, Junhe ; Lingam, Rakesh ; Liu, Wencheng ; Ma, Jun ; Menezes, Luís F. ; Nguyen-Minh, Tuan ; Miranda, Sara S. ; Neto, Diogo M. ; Pereira, André F. G. ; Prates, Pedro A. ; Reuter, Jonas ; Revil-Baudard, Benoit ; Rojas-Ulloa, Carlos ; Sener, Bora ; Shen, Fuhui ; Van Bael, Albert ; Verleysen, Patricia ; Barlat, Frederic ; Cazacu, Oana ; Kuwabara, Toshihiko ; Lopes, Augusto ; Oliveira, Marta C. ; Santos, Abel D. ; Vincze, Gabriela

International journal of material forming, 2022, Vol.15 (5), p.61-61, Article 61 [Periódico revisado por pares]

Paris: Springer Paris

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6
Use of low-cost natural waste from the furniture industry for the removal of methylene blue by adsorption: isotherms, kinetics and thermodynamics
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Use of low-cost natural waste from the furniture industry for the removal of methylene blue by adsorption: isotherms, kinetics and thermodynamics

Bortoluz, Jordana ; Ferrarini, Fabrício ; Bonetto, Luis Rafael ; da Silva Crespo, Janaina ; Giovanela, Marcelo

Cellulose (London), 2020-07, Vol.27 (11), p.6445-6466 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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7
Particle size distributions for cellulose nanocrystals measured by atomic force microscopy: an interlaboratory comparison
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Particle size distributions for cellulose nanocrystals measured by atomic force microscopy: an interlaboratory comparison

Bushell, Michael ; Meija, Juris ; Chen, Maohui ; Batchelor, Warren ; Browne, Christine ; Cho, Jae-Young ; Clifford, Charles A. ; Al-Rekabi, Zeinab ; Vanderfleet, Oriana M. ; Cranston, Emily D. ; Lawn, Malcolm ; Coleman, Victoria A. ; Nyström, Gustav ; Arcari, Mario ; Mezzenga, Raffaele ; Park, Byong Chon ; Shin, ChaeHo ; Ren, Lingling ; Bu, Tianjia ; Saito, Tsuguyuki ; Kaku, Yuto ; Wagner, Ryan ; Johnston, Linda J.

Cellulose (London), 2021-02, Vol.28 (3), p.1387-1403 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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8
Pavement distress detection and classification based on YOLO network
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Pavement distress detection and classification based on YOLO network

Du, Yuchuan ; Pan, Ning ; Xu, Zihao ; Deng, Fuwen ; Shen, Yu ; Kang, Hua

The international journal of pavement engineering, 2021-11, Vol.22 (13), p.1659-1672 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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9
Mobile-Unet: An efficient convolutional neural network for fabric defect detection
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Mobile-Unet: An efficient convolutional neural network for fabric defect detection

Jing, Junfeng ; Wang, Zhen ; Rätsch, Matthias ; Zhang, Huanhuan

Textile research journal, 2022-01, Vol.92 (1-2), p.30-42 [Periódico revisado por pares]

London, England: SAGE Publications

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10
Machine‐Learning‐Assisted Determination of the Global Zero‐Temperature Phase Diagram of Materials
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Machine‐Learning‐Assisted Determination of the Global Zero‐Temperature Phase Diagram of Materials

Schmidt, Jonathan ; Hoffmann, Noah ; Wang, Hai‐Chen ; Borlido, Pedro ; Carriço, Pedro J. M. A. ; Cerqueira, Tiago F. T. ; Botti, Silvana ; Marques, Miguel A. L.

Advanced materials (Weinheim), 2023-06, Vol.35 (22), p.e2210788-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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