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1
Classification of hazelnuts according to their quality using deep learning algorithms
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Classification of hazelnuts according to their quality using deep learning algorithms

Erbaş, Nizamettin ; Çinarer, Gökalp ; Kiliç, Kazim

Czech Journal of Food Sciences, 2022-01, Vol.40 (3), p.240-248 [Periódico revisado por pares]

Prague: Czech Academy of Agricultural Sciences (CAAS)

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2
Computer vision and artificial neural network techniques for classification of damage in potatoes during the storage process
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Computer vision and artificial neural network techniques for classification of damage in potatoes during the storage process

Przybył, Krzysztof ; Boniecki, Piotr ; Koszela, Krzysztof ; Gierz, Łukasz ; Łukomski, Mateusz

Czech Journal of Food Sciences, 2019-01, Vol.37 (2), p.135-140 [Periódico revisado por pares]

Prague: Czech Academy of Agricultural Sciences (CAAS)

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3
Computer vision techniques for modelling the roasting process of coffee (Coffea arabica L.) var. Castillo
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Artigo
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Computer vision techniques for modelling the roasting process of coffee (Coffea arabica L.) var. Castillo

Ivorra, Eugenio ; Sarria-González, Juan Camilo ; Girón-Hernández, Joel

Czech Journal of Food Sciences, 2020-01, Vol.38 (6), p.388-396 [Periódico revisado por pares]

Prague: Czech Academy of Agricultural Sciences (CAAS)

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4
Long-Term Results of Computer-Navigated Total Knee Arthroplasties Performed by Low-Volume and Less Experienced Surgeon
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Long-Term Results of Computer-Navigated Total Knee Arthroplasties Performed by Low-Volume and Less Experienced Surgeon

Lacko, M ; Schreierová, D ; Čellár, R ; Vaško, G

Acta chirurgiae orthopaedicae et traumatologiae Čechoslovaca, 2018-06, Vol.85 (3), p.219-225 [Periódico revisado por pares]

Czech Republic

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5
Variability of forwarder truckload parameters in the Pryazha forestry division of the Republic of Karelia (Russia): A computer experiment
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Artigo
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Variability of forwarder truckload parameters in the Pryazha forestry division of the Republic of Karelia (Russia): A computer experiment

Budnik, Pavel ; Shegelman, Ilya ; Baklagin, Vyacheslav

Central European forestry journal, 2020-03, Vol.66 (1), p.12-22 [Periódico revisado por pares]

Bratislava: De Gruyter Poland

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6
RE-NUM-OR: Python-based renumbering and reordering software for pedigree files
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Artigo
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RE-NUM-OR: Python-based renumbering and reordering software for pedigree files

Yazgan, Kemal

Czech Journal of Animal Science, 2018-01, Vol.63 (2), p.70-77 [Periódico revisado por pares]

Prague: Czech Academy of Agricultural Sciences (CAAS)

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7
Modeling of sand-water slurry flow through horizontal pipe using CFD
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Artigo
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Modeling of sand-water slurry flow through horizontal pipe using CFD

Kumar Gopaliya, Manoj ; Kaushal, DR

Journal of Hydrology and Hydromechanics, 2016-09, Vol.64 (3), p.261 [Periódico revisado por pares]

Bratislava: De Gruyter Poland

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8
Homogeneity of the selected food mixes
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Homogeneity of the selected food mixes

Matuszek, Dominika Barbara ; Bierczyński, Karol ; Jędrysiak, Andżelika ; Kraszewska, Angelika

Czech Journal of Food Sciences, 2021-01, Vol.39 (3), p.197-207 [Periódico revisado por pares]

Prague: Czech Academy of Agricultural Sciences (CAAS)

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9
Rainfall estimation from in situ soil moisture observations at several sites in Europe: an evaluation of the SM2RAIN algorithm
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Rainfall estimation from in situ soil moisture observations at several sites in Europe: an evaluation of the SM2RAIN algorithm

Brocca, Luca ; Massari, Christian ; Ciabatta, Luca ; Moramarco, Tommaso ; Penna, Daniele ; Zuecco, Giulia ; Pianezzola, Luisa ; Borga, Marco ; Matgen, Patrick ; Martínez-Fernández, José

Journal of Hydrology and Hydromechanics, 2015-09, Vol.63 (3), p.205 [Periódico revisado por pares]

Bratislava: De Gruyter Poland

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10
The assignment success for 22 horse breeds registered in the Czech Republic: The machine learning perspective
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The assignment success for 22 horse breeds registered in the Czech Republic: The machine learning perspective

Štohlová Putnová, Lenka ; Štohl, Radek

Czech Journal of Animal Science, 2021-01, Vol.66 (1), p.1-12 [Periódico revisado por pares]

Prague: Czech Academy of Agricultural Sciences (CAAS)

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