Now showing items 1-14 of 14

    • 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 ...
    • 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 ...
    • Digital platform based on geomarketing as an improvement in micro and small enterprises 

      Crisóstomo-Berrocal, Teófilo; Sierra-Liñan, Fernando; Carbonell-Michael, Cabanillas (Indonesian Journal of Electrical Engineering and Computer Science, 2022-07)
      Acceso abierto
      After the situation generated by the pandemic caused by COVID-19, micro and small enterprises (MSEs) faced a complex reality, having to cope with business uncertainty. This research proposes a digital platform based on ...
    • Free Hardware based System for Air Quality and CO2 Monitoring 

      Alvarez-Mendoza, Cristhoper; Vilchez-Lucana, Jhon; Sierra-Liñan, Fernando; Cabanillas-Carbonell, Michael (The Science and Information Organization, 2022)
      Acceso abierto
      Due to the increase in air pollution, especially in Latin American countries of low and middle income, great environmental and health risks have been generated, highlighting that there is more pollution in closed environments. ...
    • Internet of things based mobile application to improve citizen security 

      Ochante-Huamaccto, Yulihño; Robles-Delgado, Francis; Sierra-Liñan, Fernando; Carbonell-Michael, Cabanillas (Indonesian Journal of Electrical Engineering and Computer Science, 2022-07)
      Acceso abierto
      Citizen insecurity is a social problem that has increased considerably around the world. To combat it, in this research a mobile application based on internet of things (IoT) has been developed with the objective of mapping ...
    • 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 for the Management of Covid-19 Health Measures on Public Transport Lines 

      Cabanillas-Carbonell, Michael; Paucarcaja-Ochoa, Harold; Martos-Olazabal, Jhanery; Sierra-Liñan, Fernando (International Journal of Interactive Mobile Technologies, 2022-06-21)
      Acceso abierto
      The pandemic is currently forcing several countries to take certain restrictions on public transportation to prevent the spread of the virus, Peru is in the aforementioned phase, so many users who continue to use public ...
    • Mobile Application with Augmented Reality Focused on the Study of Human Anatomy 

      Basurco-Reyes, Diego; Nuñez-Lopez, Arturo; Sierra-Liñan, Fernando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (International Journal of Interactive Mobile Technologies (iJIM), 2022-12-20)
      Acceso abierto
      Education 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 ...
    • Predictive machine learning applying cross industry standard process for data mining for the diagnosis of diabetes mellitus type 2 

      Garcia-Rios, Victor; Marres-Salhuana, Marieta; Sierra-Liñan, Fernando; Cabanillas-Carbonell, Michael (IAES International Journal of Artificial Intelligence (IJ-AI), 2023)
      Acceso abierto
      Currently, type 2 diabetes mellitus is one of the world's most prevalent diseases and has claimed millions of people's lives. The present research aims to know the impact of the use of machine learning in the diagnostic ...
    • 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 ...
    • 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 ...