Now showing items 1-20 of 21

    • Agente inteligente para la gestión de incidencias 

      Iparraguirre-Villanueva, Orlando; Obregon-Palomino, Luz; Pujay-Iglesias, Wilson; Cabanillas-Carbonell, Michael (Revista lbérica de Sistemas e Tecnologias de Informação, 2023)
      Acceso abierto
      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 ...
    • Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes 

      Iparraguirre-Villanueva, Orlando; Espinola-Linares, Karina; Ornella Flores Castañeda, Rosalynn; Cabanillas-Carbonell, Michael (MDPI, 2023)
      Acceso abierto
      Early detection of diabetes is essential to prevent serious complications in patients. The purpose of this work is to detect and classify type 2 diabetes in patients using machine learning (ML) models, and to select the ...
    • Augmented Reality as an Option to Enhance the Tourism Experience - A Review 

      Allcca-Alarcón, Luis; Calagua-Montoya, Jorge; Iparraguirre-Villanueva, Orlando; Cabanillas-Carbonell, Michael (Seventh Sense Research Group®, 2023)
      Acceso abierto
      Due to the Covid-19 situation, the tourism sector has faced several challenges to be able to gradually continue with its different activities related to the tourism experience. Therefore, the sector has had to reinvent ...
    • Augmented reality for innovation: Education and analysis of the glacial retreat of the Peruvian Andean snow-capped mountains 

      Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael; Iparraguirre-Villanueva, Orlando; Sierra-Liñan, Fernando; Baltozar-Clemente, Saul; Alvarez-Risco, Aldo; Yáñez, Jaime A. (Elsevier, 2023)
      Acceso abierto
      Mountain 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 ...
    • Augmented Reality for Quechua Language Teaching-Learning: A Systematic Review 

      Cardenas-Valdivia, Jhonatan; Flores-Alvines, Jean; Iparraguirre-Villanueva, Orlando; Cabanillas-Carbonell, Michael (International Journal of Interactive Mobile Technologies (iJIM), 2023)
      Acceso abierto
      With the passage of time, the advancement of technology is evident, Augmented Reality (AR) is an innovative technological tool that has emerged and has been highly attractive to users, allowing the sharing of information ...
    • 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 ...
    • Classification of Tweets Related to Natural Disasters Using Machine Learning Algorithms 

      Iparraguirre-Villanueva, Orlando; Melgarejo-Graciano, Melquiades; Castro-Leon, Gloria; Olaya-Cotera, Sandro; John, Ruiz-Alvarado; Epifanía-Huerta, Andrés; Cabanillas-Carbonell, Michael; Zapata-Paulini, Joselyn (International Journal of Interactive Mobile Technologies (iJIM), 2023)
      Acceso abierto
      Abstract—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 

      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 ...
    • Convolutional Neural Networks with Transfer Learning for Pneumonia Detection 

      Iparraguirre-Villanueva, Orlando; Guevara-Ponce, Victor; Roque Paredes, Ofelia; Sierra-Liñan, Fernando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael ((IJACSA) International Journal of Advanced Computer Science and Applications, 2022)
      Acceso abierto
      Pneumonia 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 ...
    • Detection of Breast Cancer using Convolutional Neural Networks with Learning Transfer Mechanisms 

      Guevara-Ponce, Victor; Roque-Paredes, Ofelia; Zerga-Morales, Carlos; Flores-Huerta, Andrea; Aymerich-Lau, Mario; Iparraguirre-Villanueva, Orlando (SAI The Science and Information Organization, 2023)
      Acceso abierto
      Breast cancer is the leading cause of mortality in women worldwide. One of the biggest challenges for physicians and technological support systems is early detection, because it is easier to treat and establish curative ...
    • Implementation of the Lean Construction Methodology in the Management of the Material Transportation Process- A Review 

      Iparraguirre-Villanueva, Orlando; Taico-Valverde, Bryan; Velezmoro-Abanto, Lesly; Cabanillas-Carbonell, Michael (Seventh Sense Research Group®, 2023)
      Acceso abierto
      One of the biggest problems in the construction industry that often generates delays and loss of value in the construction site are the processes related to the management of material transportation. These processes are ...
    • Improving Environmental Sustainability: A Geolocation-Based Mobile Application to Optimize the Recycling Process 

      Iparraguirre-Villanueva, Orlando; Tuesta-Pereda, Luis; Tapia-Chavez, Elvis; Cabanillas-Carbonell, Michael (International Journal of Interactive Mobile Technologies (iJIM), 2023)
      Acceso abierto
      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 ...
    • Location-based Mobile Application for Blood Donor Search 

      Iparraguirre-Villanueva, Orlando; Sierra-Liñan, Fernando; Cabanillas-Carbonell, Michael (The Science and Information Organization, 2022)
      Acceso abierto
      Technological advances and the massive use of mobile devices have led to the exponential evolution of mobile applications in the health sector. Blood donation centers frequently suffer blood shortages due to lack of ...
    • Mobile Application with Augmented Reality to Improve Learning in Science and Technology 

      Gamboa-Ramos, Miriam; Gómez-Noa, Ricardo; Iparraguirre-Villanueva, Orlando; Cabanillas-Carbonell, Michael; Herrera Salazar, José Luis (Science and Information Organization, 2021)
      Acceso abierto
      Education has taken a big turn due to the current health situation, and as a result the use of technology has become a great ally of education, achieving important benefits. Augmented reality is being used by teachers and ...
    • Productivity of incident management with conversational bots-a review 

      Iparraguirre-Villanueva, Orlando; Obregon-Palomino, Luz; Pujay-Iglesias, Wilson; Sierra-Liñan, Fernando; Cabanillas-Carbonell, Michael (IAES International Journal of Artificial Intelligence (IJ-AI), 2023)
      Acceso abierto
      The use of conversational agents (bots) in information systems managed by company’s increases productivity in the development of activities focused on processes such as customer service, healthcare, and presentation. The ...
    • 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 ...
    • Técnicas y algoritmos para predecir el resultado de los partidos de fútbol utilizando la minería de datos, una revisión de la literatura 

      Araujo-Ahon, Antonio; Cardenas-Mayta, Brayan; Iparraguirre-Villanueva, Orlando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (Revista lbérica de Sistemas e Tecnologias de Informação, 2023)
      Acceso abierto
      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) ...
    • 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 ...