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Wyszukujesz frazę "Dominguez, Jorge." wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Latin American Perceptions of Europe and the European Union
Autorzy:
Schiavon, Jorge A.
Domínguez, Diego
Powiązania:
https://bibliotekanauki.pl/articles/2091807.pdf
Data publikacji:
2020-06-25
Wydawca:
Uniwersytet Warszawski. Wydział Nauk Politycznych i Studiów Międzynarodowych
Tematy:
perceptions
public opinion
foreign policy
Europe
European Union
Latin America
Opis:
This paper argues that public opinion is a useful tool and valuable source of information to better understand Latin Americans’ preferences, levels of priority and assessment of other countries, regions and institutions, including European countries, Europe, and the European Union (EU). The central arguments are, on the one hand, that the higher the levels of trade with Europe as a percentage of the total trade of Latin American countries, the higher the degree of importance, interest, and priority that Latin Americans will give to Europe, European countries, and the EU. On the other hand, the more knowledge Latin Americans have about international organisations, including the EU, the more they appreciate their work. Using the data from The Americas and the World survey, Latinobarómetro and the Map of Interests between the European Union & Latin America and the Caribbean, sufficient evidence is provided to support these arguments. If public opinion determines, to some extent, foreign policy decision making, priorities and actions, then a higher assessment and prioritisation of Europe and the EU within Latin America’s populations can have a positive effect on Latin American foreign policy vis-à-vis the EU and the countries that compose it. Therefore, increasing knowledge about and more trade with each other is a good strategy for European and Latin American countries to build on their bi-regional and bilateral relations, creating a virtuous circle of incremental cooperation and welfare for both regions.
Źródło:
Stosunki Międzynarodowe - International Relations; 2015, 51, 1; 127-140
0209-0961
Pojawia się w:
Stosunki Międzynarodowe - International Relations
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of visual classification algorithms for identification of underwater audio signals
Autorzy:
Gnyś, Piotr
Szczęsna, Gabriela
Domínguez-Brito, Antonio C.
Cabrera-Gámez, Jorge
Powiązania:
https://bibliotekanauki.pl/articles/23956852.pdf
Data publikacji:
2022
Wydawca:
Politechnika Gdańska
Tematy:
audio processing
audio classification
convolutional neural network
Opis:
An audio processing and classification pipeline is presented in this work. The main focus is on the classification of sounds in a marine acoustic environment, however, the presented approach can be applied to other audio data. Audio samples from heterogeneous sources automatically spliced, normalized and transformed into spectrogram based visual representation are tagged on the pipeline input. The said representation is then used to train a convolutional neural network that can identify the presented categories in future recordings.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2022, 26, 4
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Single spiking neuron multi-objective optimization for pattern classification
Autorzy:
Juarez-Santini, Carlos
Ornelas-Rodriguez, Manuel
Soria-Alcaraz, Jorge Alberto
Rojas-Domínguez, Alfonso
Puga-Soberanes, Hector J.
Espinal, Andrés
Rostro-Gonzalez, Horacio
Powiązania:
https://bibliotekanauki.pl/articles/385022.pdf
Data publikacji:
2020
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
multi-objective optimization
spiking neuron
pattern classification
Opis:
As neuron models become more plausible, fewer computing units may be required to solve some problems; such as static pattern classification. Herein, this problem is solved by using a single spiking neuron with rate coding scheme. The spiking neuron is trained by a variant of Multi-objective Particle Swarm Optimization algorithm known as OMOPSO. There were carried out two kind of experiments: the first one deals with neuron trained by maximizing the inter distance of mean firing rates among classes and minimizing standard deviation of the intra firing rate of each class; the second one deals with dimension reduction of input vector besides of neuron training. The results of two kind of experiments are statistically analyzed and compared again a Mono-objective optimization version which uses a fitness function as a weighted sum of objectives.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 1; 73-80
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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