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Técnicas y algoritmos para predecir el resultado de los partidos de fútbol utilizando la minería de datos, una revisión de la literatura
(Revista lbérica de Sistemas e Tecnologias de Informação, 2023)
El resultado de un deporte se ha convertido en una necesidad para los competidores, así como para los fanáticos que siguen a sus equipos favoritos. Sin embargo, la predicción de los resultados de un partido de fútbol (PSMR) ...
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Agente inteligente para la gestión de incidencias
(Revista lbérica de Sistemas e Tecnologias de Informação, 2023)
Un agente inteligente (AI) utiliza la inteligencia artificial (IA) para dialogar con los usuarios; las incidencias son interrupciones que surgen y que impiden a los usuarios hacer uso de las tecnologías de la información ...
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Contributions of the 5G Network with Respect to Decent Work and Economic Growth (Sustainable Development Goal 8): A Systematic Review of the Literature
(MDPI, 2023)
Decent work and economic growth are fundamental elements for the sustainable development of a society, with Sustainable Development Goal 8 (SDG8) being one of the key objectives
of the United Nations’ 2030 Agenda. The 5G ...
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Improving Environmental Sustainability: A Geolocation-Based Mobile Application to Optimize the Recycling Process
(International Journal of Interactive Mobile Technologies (iJIM), 2023)
Environmental pollution caused by human activities is a global concern, and recycling is an effective strategy to reduce waste and minimize its negative impact on the environment, as these pollutants can have detrimental ...
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The Public Health Contribution of Sentiment Analysis of Monkeypox Tweets to Detect Polarities Using the CNN-LSTM Model
(MDPI, 2023)
Monkeypox is a rare disease caused by the monkeypox virus. This disease was considered eradicated in 1980 and was believed to affect rodents and not humans. However, recent years have seen a massive outbreak of monkeypox ...
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Search and classify topics in a corpus of text using the latent dirichlet allocation model
(Indonesian Journal of Electrical Engineering and Computer Science, 2023)
This work aims at discovering topics in a text corpus and classifying the most relevant terms for each of the discovered topics. The process was performed in four steps: first, document extraction and data processing; ...
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Text prediction recurrent neural networks using long shortterm memory-dropout
(Indonesian Journal of Electrical Engineering and Computer Science, 2023)
Unit short-term memory (LSTM) is a type of recurrent neural network (RNN) whose sequence-based models are being used in text generation and/or prediction tasks, question answering, and classification systems due to their ...
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