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    Wyświetlanie 1-5 z 5
    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 1-5 z 5

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