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    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)
    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 ...
    Acceso abierto
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    Location-based Mobile Application for Blood Donor Search 

    Iparraguirre-Villanueva, Orlando; Sierra-Liñan, Fernando; Cabanillas-Carbonell, Michael (The Science and Information Organization, 2022)
    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 ...
    Acceso abierto
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    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)
    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 ...
    Acceso abierto
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    IT risks associated with information theft in the financial system - a systematic review 

    Cabanillas-Allca, Frank; Chaquila-Muñoz, Sebastian; Iparraguirre-Villanueva, Orlando (Institute of Advanced Engineering and Science, 2025-02-12)
    This research paper systematically reviews the financial system’s computer security risks associated with information theft. The objective is to explore the security risks and their implications concerning information ...
    Acceso abierto
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    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)
    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 ...
    Acceso abierto
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    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)
    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 ...
    Acceso abierto
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    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)
    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 ...
    Acceso abierto
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    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)
    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 ...
    Acceso restringido
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    Machine Learning Models for Predicting Student Dropout—a Review 

    Salinas-Chipana, José; Obregon-Palomino, Luz; Iparraguirre-Villanueva, Orlando; Cabanillas-Carbonell, Michael (Springer Link, 2023)
    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 ...
    Acceso restringido
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    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)
    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 ...
    Acceso abierto
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    Iparraguirre-Villanueva, Orlando (36)
    Cabanillas-Carbonell, Michael (27)Zapata-Paulini, Joselyn (11)Sierra-Liñan, Fernando (8)Beltozar-Clemente, Saul (7)Epifanía-Huerta, Andrés (4)Guevara-Ponce, Victor (4)Obregon-Palomino, Luz (4)Pucuhuayla-Revatta, Félix (3)Pujay-Iglesias, Wilson (3)... View MoreSubjectAugmented reality (5)Classification (4)Learning (3)Machine learning (3)Mobile application (3)Virtual reality (3)Analysis (2)Augmented Reality (2)Claustrophobia (2)Deep learning (2)... View MoreDate2023 (31)2022 (3)2021 (1)2025 (1)

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