Browsing by Author "Zapata-Paulini, Joselyn"
Now showing items 1-12 of 12
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Augmented reality for innovation: Education and analysis of the glacial retreat of the Peruvian Andean snow-capped mountains
(Elsevier, 2023)Acceso abiertoMountain glaciers are considered great reservoirs of water, and their importance lies in the fact that many of our ecosystems and numerous communities depend on them; Peru has one of the largest extensions of Andean ... -
Changing Mathematical Paradigms at the University Level: Feedback from a Flipped Classroom at a Peruvian University
(International Journal of Interactive Mobile Technologies (iJIM), 2023)Acceso abiertoThe 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 ... -
Classification of Tweets Related to Natural Disasters Using Machine Learning Algorithms
(International Journal of Interactive Mobile Technologies (iJIM), 2023)Acceso abiertoAbstract—In recent years, computer science has advanced exponentially, helping significantly to identify and classify text extracted from social networks, specifically Twitter. This work identifies, classifies, and analyzes ... -
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)Acceso abiertoDecent 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 ... -
Convolutional Neural Networks with Transfer Learning for Pneumonia Detection
((IJACSA) International Journal of Advanced Computer Science and Applications, 2022)Acceso abiertoPneumonia is a type of acute respiratory infection caused by microbes, and viruses that affect the lungs. Pneumonia is the leading cause of infant mortality in the world, accounting for 81% of deaths in children under five ... -
Mobile Application with Augmented Reality Focused on the Study of Human Anatomy
(International Journal of Interactive Mobile Technologies (iJIM), 2022-12-20)Acceso abiertoEducation in current times has taken leaps and bounds, so the use of traditional classrooms in conjunction with textbooks and static 2D images is no longer enough, even more so in the teaching of human anatomy, which ... -
Optimization of a Photovoltaic Station for Charging Electric Vehicles
(Springer Link, 2023)Acceso restringidoThe constant struggle to reduce greenhouse gas emissions caused by internal combustion vehicles makes electromobility a latent alternative solution. The main difficulty in its implementation is the scarce or non-existent ... -
Predicting customer abandonment in recurrent neural networks using short-term memory
(Elsevier, 2023)Acceso abiertoCustomer retention, a critical business priority, has become a growing concern, especially in the telecommunications industry. This study addresses the need to anticipate and understand customer churn through the application ... -
Search and classify topics in a corpus of text using the latent dirichlet allocation model
(Indonesian Journal of Electrical Engineering and Computer Science, 2023)Acceso abiertoThis 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; ... -
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)Acceso abiertoEl 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) ... -
Text prediction recurrent neural networks using long shortterm memory-dropout
(Indonesian Journal of Electrical Engineering and Computer Science, 2023)Acceso abiertoUnit 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
(MDPI, 2023)Acceso abiertoMonkeypox 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 ...
