Now showing items 1-6 of 6

    • Changing Mathematical Paradigms at the University Level: Feedback from a Flipped Classroom at a Peruvian University 

      Beltozar-Clemente, Saul; Iparraguirre-Villanueva, Orlando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (International Journal of Interactive Mobile Technologies (iJIM), 2023)
      Acceso abierto
      The university-level mathematics teaching adopted by many professors is still a traditional classroom, and many students’ perception of mathematics is that it is a complicated subject. The operationality of the flipped ...
    • Contributions of the 5G Network with Respect to Decent Work and Economic Growth (Sustainable Development Goal 8): A Systematic Review of the Literature 

      Beltozar-Clemente, Saul; Iparraguirre-Villanueva, Orlando; Pucuhuayla-Revatta, Félix; Sierra-Liñan, Fernando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (MDPI, 2023)
      Acceso abierto
      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 ...
    • Search and classify topics in a corpus of text using the latent dirichlet allocation model 

      Iparraguirre-Villanueva, Orlando; Sierra-Liñan, Fernando; Herrera Salazar, Jose Luis; Beltozar-Clemente, Saul; Pucuhuayla-Revatta, Félix; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (Indonesian Journal of Electrical Engineering and Computer Science, 2023)
      Acceso abierto
      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; ...
    • Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm 

      Iparraguirre-Villanueva, Orlando; Guevara-Ponce, Victor; Sierra-Liñan, Fernando; Beltozar-Clemente, Saul; Cabanillas-Carbonell, Michael (SAI The Science and Information Organization, 2022)
      Acceso abierto
      Abstract: Today, web content such as images, text, speeches, and videos are user-generated, and social networks have become increasingly popular as a means for people to share their ideas and opinions. One of the most ...
    • Text prediction recurrent neural networks using long shortterm memory-dropout 

      Iparraguirre-Villanueva, Orlando; Guevara-Ponce, Victor; Ruiz-Alvarado, Daniel; Beltozar-Clemente, Saul; Sierra-Liñan, Fernando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (Indonesian Journal of Electrical Engineering and Computer Science, 2023)
      Acceso abierto
      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 ...
    • The Public Health Contribution of Sentiment Analysis of Monkeypox Tweets to Detect Polarities Using the CNN-LSTM Model 

      Iparraguirre-Villanueva, Orlando; Alvarez-Risco, Aldo; Herrera Salazar, Jose Luis; Beltozar-Clemente, Saul; Zapata-Paulini, Joselyn; Yáñez, Jaime A.; Cabanillas-Carbonell, Michael (MDPI, 2023)
      Acceso abierto
      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 ...