Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging von Gomes, Véronique M., Fernandes, Armando M., Faia, Arlete, Melo-Pinto, Pedro

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Automatic Early Detection of Wildfire Smoke With Visible Light Cameras Using Deep Learning and Visual Explanation von Fernandes, Armando M., Utkin, Andrei B., Chaves, Paulo

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Automatic early detection of wildfire smoke with visible-light cameras and EfficientDet von Fernandes, Armando M, Utkin, Andrei B, Chaves, Paulo

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Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine Learning von Monteiro, Filipe, Bexiga, Vasco, Chaves, Paulo, Godinho, Joaquim, Henriques, David, Melo-Pinto, Pedro, Nunes, Tiago, Piedade, Fernando, Pimenta, Nelson, Sustelo, Luis, Fernandes, Armando M.

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Grapevine variety identification using “Big Data” collected with miniaturized spectrometer combined with support vector machines and convolutional neural networks von Fernandes, Armando M., Utkin, Andrei B., Eiras-Dias, José, Cunha, Jorge, Silvestre, José, Melo-Pinto, Pedro

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Use of Visible and Short-Wave Near-Infrared Hyperspectral Imaging To Fingerprint Anthocyanins in Intact Grape Berries von Diago, Maria P., Fernández-Novales, Juan, Fernandes, Armando M., Melo-Pinto, Pedro, Tardaguila, Javier

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Brix, pH and anthocyanin content determination in whole Port wine grape berries by hyperspectral imaging and neural networks von Fernandes, Armando M., Franco, Camilo, Mendes-Ferreira, Ana, Mendes-Faia, Arlete, Costa, Pedro Leal da, Melo-Pinto, Pedro

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Lamb muscle discrimination using hyperspectral imaging: Comparison of various machine learning algorithms von Sanz, Jose Antonio, Fernandes, Armando M., Barrenechea, Edurne, Silva, Severiano, Santos, Virginia, Gonçalves, Norberto, Paternain, Daniel, Jurio, Aranzazu, Melo-Pinto, Pedro

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Radiographic assessment of humeroulnar congruity in a medium and a large breed of dog von Alves‐Pimenta, Sofia, Colaço, Bruno, Fernandes, Armando M., Gonçalves, Lio, Colaço, Jorge, Melo‐Pinto, Pedro, Ginja, Mário M.

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Optimisation of location and number of lidar apparatuses for early forest fire detection in hilly terrain von Fernandes, Armando M., Utkin, Andrei B., Lavrov, Alexander V., Vilar, Rui M.

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Development of neural network committee machines for automatic forest fire detection using lidar von Fernandes, Armando M., Utkin, Andrei B., Lavrov, Alexander V., Vilar, Rui M.

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Space-demultiplexing based on higher-order Poincaré spheres von Fernandes, Gil M, Muga, Nelson J, Pinto, Armando N

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Switching in multicore fibers using flexural acoustic waves von Fernandes, Gil M, Muga, Nelson J, Rocha, Ana M, Pinto, Armando N

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Reduced-complexity algorithm for space-demultiplexing based on higher-order Poincaré spheres von Fernandes, Gil M, Muga, Nelson J, Pinto, Armando N

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Neural network based recognition of smoke signatures from lidar signals von FERNANDES, Armando M, UTKIN, Andrei B, LAVROV, Alexander V, VILAR, Rui M

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Study on the Automatic Recognition of Oceanic Eddies in Satellite Images by Ellipse Center Detection-The Iberian Coast Case von Fernandes, A.M.

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Neural Network Based Recognition of Smoke von Fernandes, Armando M., Utkin, Andrei B., Lavrov, Alexander V., Vilar, Rui M.

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Novel materials based on chitosan and cellulose von Fernandes, Susana CM, Freire, Carmen SR, Silvestre, Armando JD, Pascoal Neto, Carlos, Gandini, Alessandro

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Design of committee machines for classification of single-wavelength lidar signals applied to early forest fire detection von Fernandes, Armando M., Utkin, Andrei B., Lavrov, Alexander V., Vilar, Rui M.

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Continuous wave supercontinuum generation pumped in the normal group velocity dispersion regime on a highly nonlinear fiber von Facão, Margarida, Carvalho, Maria Inês, Martins Fernandes, Gil, Rocha, Ana Maria, Pinto, Armando Nolasco

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