Now showing items 21-40 of 42

    • Information and Communication Technologies for Employability in Times of COVID-19, a Systematic Literature Review 

      Palacios-Loayza, Jesus; Ayala-Inca, Carlos; Cabanillas-Carbonell, Michael (Springer Link, 2023)
      Acceso restringido
      Due to the pandemic that emerged at the end of 2019 (COVID-19), humanity is going through a great crisis and one of the most affected sectors is work due to the large amount of unemployment that it generated, thus resulting ...
    • IoT System for Vital Signs Monitoring in Suspicious Cases of Covid-19 

      Amachi-Choqque, John; Cabanillas-Carbonell, Michael (Science and Information Organization, 2021)
      Acceso abierto
      Currently the world is going through a pandemic caused by Covid-19, the World Health Organization recommends to stay isolated from the rest of the people. This research shows the development of a prototype based on the ...
    • 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 ...
    • Machine Learning Analysis for Cervical Cancer Prediction, a Systematic Review of the Literature 

      Gutierrez-Espinoza, Sandy; Cabanillas-Carbonell, Michael (Institute of Electrical and Electronics Engineers, 2021-12-30)
      Acceso restringido
      At present, cervical cancer is still the most complex issue due to the fact that people who suffer from it have a high risk of death. Therefore, it is very important to have an early diagnosis. The present study is a review ...
    • Machine Learning Analysis in the Prediction of Diabetes Mellitus: A Systematic Review of the Literature 

      Marres-Salhuana, Marieta; Garcia-Rios, Victor; Cabanillas-Carbonell, Michael (Springer Link, 2023)
      Acceso restringido
      In recent years, diabetes mellitus has increased its prevalence in the global landscape, and currently, due to COVID-19, people with diabetes mellitus are the most likely to develop a critical picture of this disease. In ...
    • Mobile Application for the Automation of Reservation and Incident Processes for Condominiums 

      Asto-Aguilar, Dolly; Belen-Barreto, Jamil; Cabanillas-Carbonell, Michael (Universidad Autónoma del Perú, 2021-12)
      Acceso restringido
      Technological advances make more and more companies transform their manual processes into automated processes, increasing the speed and efficiency of their operations. That is the reason for this research, to test the ...
    • 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 for the Monitoring and Control of the Diet in People with Anemia 

      Cabanillas-Carbonell, Michael; Ñahuiña-Balbuena, Harold; Soto-Justiniano, Jhan; Casazola-Cruz, Oswaldo (Institute of Electrical and Electronics Engineers, 2020-12-10)
      Acceso restringido
      Lack of iron is the most common nutritional deficiency and the leading cause of anaemia worldwide, according to the WHO. In this work, a mobile application is presented where the doctor, according to the patient's hemoglobin, ...
    • Mobile Application with Arduino to Improve the Determination of the Ripening Status of the Fruit 

      Cabanillas-Carbonell, Michael; Céspedes-Lluque, Víctor; Yucra-Calla, Miguel; Herrera Salazar, José Luis (International Journal of Interactive Mobile Technologies, 2022-07-26)
      Acceso abierto
      Fruit consumption is related to the enjoyment of good health and the reduction of the occurrence of diseases such as obesity. At present, in the markets the process of determining the state of maturity of fruits is carried ...
    • Mobile Application with Augmented Reality as a Tool to Reinforce Learning in Pre-Inca Cultures 

      Cabanillas-Carbonell, Michael; Canchaya-Ramos, Angello; Gómez-Osorio, Renzo (Institute of Electrical and Electronics Engineers, 2020-11-17)
      Acceso restringido
      Peru is one of the countries with the most rich and varied culture in the world, which can be made known by making use of augmented reality for better understanding and learning at school. This document shows the development ...
    • 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 ...
    • Mobile Application with Augmented Reality for the Learning of the Cell 

      Tazza Alejos, Jean Carlo; Pretell Cruzado, Ramón Johny; Cabanillas-Carbonell, Michael; Herrera Salazar, Jose Luis (Institute of Electrical and Electronics Engineers, 2020-12)
      Acceso restringido
      This study shows the effects resulting from the implementation of a mobile application with augmented reality for the learning of the cell. The Mobile-D methodology was used for this study, whose focus and properties are ...
    • 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 ...
    • Mobile Application with Augmented Reality to Improve the Process of Learning Sign Language 

      Cabanillas-Carbonell, Michael; Cusi-Ruiz, Piero; Prudencio-Galvez, Daniela; Herrera Salazar, José Luis (International Journal of Interactive Mobile Technologies, 2022-06-07)
      Acceso abierto
      Language for a long time is an indispensable tool for society, since it allows communication and interaction between people. Learning sign language is a very big problem, either because access to information is scarce, ...
    • 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 ...
    • 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 ...