Recent Submissions

  • Facial Recognition with Neural Networks for Access Control to restricted areas 

    Vega-Huerta, Hugo; Marlon Pillaca, Pullo; Rodrigo Velásquez, Quiroz; Maquen-Niño, Gisella Luisa Elena; Camara-Figueroa, Adegundo; Pantoja-Collantes, Jorge; Gil-Calvo, Rubén (RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2023)
    Acceso restringido
    Access control to restricted areas is facing issues with its identity verification systems for Chief Executive Officers (CEOs) based on access cards, which are vulnerable to cloning, identity theft, and cyberattacks like ...
  • Human Versus Computer: Who Can Make Valuable Progress in Theoretical Physics? 

    Nieto-Chaupis, Huber (IEEE, 2023)
    Acceso restringido
    Nowadays, there is a solid consensus about the rapid progress of artificial intelligence and its potential usage in the different functions of society. This paper presents an example about contribution in theoretical physics ...
  • Improving industrial security device detection with convolutional neural networks 

    Iparraguirre-Villanueva, Orlando; Gonzales-Huaman, Josemaria; Machuca-Solano, Jose; Ruiz-Alvarado, John (Institute of Advanced Engineering and Science (IAES), 2023)
    Acceso abierto
    Employee safety is paramount in the manufacturing industry to ensure their well-being and protection. Technological advancements, particularly convolutional neural networks (CNN), have significantly enhanced this safety ...
  • Predicting Obesity in Nutritional Patients using Decision Tree Modeling 

    Iparraguirre-Villanueva, Orlando; Mirano-Portilla, Luis; Gamarra-Mendoza, Manuel; Robles-Espiritu, Wilmer (The Science and Information Organization, 2023)
    Acceso abierto
    Obesity has become a widespread problem that affects not only physical well-being but also mental health. To address this problem and provide solutions, Machine Learning (ML) technology tools are being applied. Studies are ...
  • HEART ATTACK PREDICTION USING MACHINE LEARNING: A COMPREHENSIVE SYSTEMATIC REVIEW AND BIBLIOMETRIC ANALYSIS 

    Javier, Gamboa-Cruzado; Crisostomo-Castro, Renzo; Vilabuleje, Jhonatan; López-Goycochea, Jefferson; Valenzuela, Jorge Nolasco (Journal of Theoretical and Applied Information Technology, 2023)
    Acceso restringido
    Studies on predicting heart attacks using Machine Learning demonstrate that there is a wide variety of algorithms and methodologies highlighting their impact on heart attack prediction. This can help in reducing the risk ...
  • Design of a Mobile Application to Improve the Therapy Process in Children with Autism 

    Iparraguirre-Villanueva, Orlando; Almeyda-Saravia, Edson Sebastián; Araujo-Jayo, Kemily Jarumy; Huaringa-Cruzado, Dylan; Palomino-Guevara, Aldair Fabian (International Journal of Interactive Mobile Technologies (iJIM), 2023)
    Acceso abierto
    Autism is a spectrum disorder that affects communication and social interaction. It has increased in recent decades, especially among children, and has had a significant impact on their lives, necessitating attention and ...
  • Predicting customer abandonment in recurrent neural networks using short-term memory 

    Beltozar-Clemente, Saul; Iparraguirre-Villanueva, Orlando; Pucuhuayla-Revatta, Félix; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (Elsevier, 2023)
    Acceso abierto
    Customer 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 ...
  • Mobile Application with Augmented Reality as a Support Tool for Learning Human Anatomy 

    Iparraguirre-Villanueva, Orlando; Andia-Alcarraz, Jhenifer; Saba-Estela, Fathzy; Epifanía-Huerta, Andrés (International Journal of Engineering Pedagogy (iJEP), 2023)
    Acceso abierto
    Learning the anatomy of the human skeletal system presents several challenges in understanding the complexity of the human body. One of the most common issues is the absence of effective and accessible learning methods ...
  • Remote Heart Rate Monitoring Device Using the Internet of Things 

    Iparraguirre-Villanueva, Orlando; Surcco-Jacinto, Enrique; Balvin-Chávez, Melanie (International Journal of Online and Biomedical Engineering (iJOE), 2023)
    Acceso abierto
    Cardiovascular diseases are the leading cause of death worldwide. Therefore, this study aims to develop a mobile application utilizing the Internet of Things (IoT) to monitor patients’ heart rate. The study employed a ...
  • Benefits of Metaverse Application in Education: A Systematic Review 

    Flores-Castañeda, Rosalynn Ornella; Olaya-Cotera, Sandro; Iparraguirre-Villanueva, Orlando (International Journal of Engineering Pedagogy (iJEP), 2023)
    Acceso abierto
    The COVID-19 pandemic has brought about significant changes in people’s lifestyles, with the educational sector being one of the most reliant on technology to facilitate the teaching and learning process. In this literature ...
  • Integration of GeoGebra Calculator 3D with Augmented Reality in Mathematics Education for an Immersive Learning Experience 

    Iparraguirre-Villanueva, Orlando; Paulino-Moreno, Cleoge; Chero-Valdivieso, Henry; Espinola-Linares, Karina; Cabanillas-Carbonell, Michael (International Journal of Engineering Pedagogy (iJEP), 2023)
    Acceso abierto
    The use of augmented reality (AR) with GeoGebra allows for the contextualization of mathematical operations in real-world situations. In this approach, the teacher presents questions or problems that students solve using ...
  • Dropout in Computer Science, Systems Engineering and Software Engineering Programs 

    Bayona-Oré, Sussy (Springer Link, 2023)
    Acceso restringido
    Student dropout as a decision-making process is complex and conditioned by various factors. Despite the existence of regulatory frameworks and the efforts made by universities to implement programs to retain students, the ...
  • Green Function for S-Wave from Vertical Propagation at Seismic Events 

    Nieto-Chaupis, Huber; Alfaro-Acuña, Anthony (Springer Link, 2023)
    Acceso restringido
    In this paper, the shear stress originated by a S-wave and with a vertical propagation that produces distributions of stress at time is studied from the view of integer-order Bessel functions as well as the Green’s functions. ...
  • Optimization of a Photovoltaic Station for Charging Electric Vehicles 

    Beltozar Clemente, Saul; Herrera Escandon, Winy Livet; Iparraguirre-Villanueva, Orlando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (Springer Link, 2023)
    Acceso restringido
    The 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 Election Results with Machine Learning—A Review 

    Argandoña-Mamani, Alexander; Ormeño-Alarcón, Terry; Iparraguirre-Villanueva, Orlando; Paulino-Moreno, Cleoge; Cabanillas-Carbonell, Michael (Springer Link, 2023)
    Acceso restringido
    Election results are a topic that never stops being talked about and even more so that social platforms are the perfect medium where polarization to a political party is established. That is why many academics have seen ...
  • Information Security Policy Compliance: Usefulness and Ease of Use 

    Bayona-Oré, Sussy; Fong Ochoa, Norman (Springer Link, 2023)
    Acceso restringido
    Various information security (IS) standards and frameworks have been proposed with the objective of safeguarding an organization’s information assets. The Information Security Policy (ISP) is one of the tools for managing ...
  • Machine Learning Models for Predicting Student Dropout—a Review 

    Salinas-Chipana, José; Obregon-Palomino, Luz; Iparraguirre-Villanueva, Orlando; Cabanillas-Carbonell, Michael (Springer Link, 2023)
    Acceso restringido
    Student dropout is a worldwide problem that affects an entire society; thus, being of great concern for academic institutions that seek to retain their students through different strategies, machine learning is the most ...
  • Predictive Model with Machine Learning for Academic Performance 

    Cecenardo-Galiano, Carlos; Sumaran-Pedraza, Carolina; Obregon-Palomino, Luz; Iparraguirre-Villanueva, Orlando; Cabanillas-Carbonell, Michael (Springer Link, 2023)
    Acceso restringido
    Academic achievement (AP) in recent years has shown minimal progress with a difference of 0.05%, according to the report made by the Program for International Student Assessment (PISA). For this reason, the objective of ...
  • Machine Learning and Covid-19 Data Predict Next Intercontinental Pandemic 

    Nieto-Chaupis, Huber (IEEE, 2023)
    Acceso restringido
    Experiences from past Covid-19 pandemic have led to explore the actions that were taken previous time to the implementation of policies in a fast and optimal manner. Because of this actions the arrival of virus to a country ...
  • Human Versus Computer: Who Can Make Valuable Progress in Theoretical Physics? 

    Nieto-Chaupis, Huber (IEEE, 2023)
    Acceso restringido
    Nowadays, there is a solid consensus about the rapid progress of artificial intelligence and its potential usage in the different functions of society. This paper presents an example about contribution in theoretical physics ...

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