Ingeniería de Sistemas: Recent submissions

Now showing items 21-40 of 300

    • Transformative Approaches: Exploring Innovative Pedagogies for 6G Education 

      Ochoa-Tataje, Freddy; Alanya-Beltran, Joel; Ruiz-Salazar, Jenny; Paucar-Elera, Juan; Mendez-Escobar, Michel; Perez-Mendoza, Adolfo (IGI GLOBAL, 2023)
      Acceso restringido
      Pedagogical approaches guide social science education. These methods encourage student participation, deep comprehension, and critical thinking. Effective pedagogies that help students understand complex technological ...

    • Can Artificial Intelligence do Autonomous Research?: An Example of Using the Mitchell Criteria 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      Nowadays, media and scientific literature have shown capabilities of Artificial Intelligence (AI) to carry out autonomous activities with the same efficiency as a human being are presented. It is clear that AI can support ...

    • Predictive Time-Dependent Model Through the Conjunction of Bayes Theorem and Mitchell Criteria 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      This study aimed to construct a predictive model based on the Bayes theorem and Mitchell criteria. The Bayes theorem is expressed as integrals of convolution by using test probabilistic distribution functions. By assuming ...

    • Machine Learning-Based Customer Behavior Analysis for E-commerce Platforms 

      Panduro-Ramirez, Jeidy (IEEE, 2023)
      Acceso restringido
      Providing a method that is founded on machine learning to analyze the behavior of customers on e-commerce platforms is the objective of this research study, which aims to provide a method. It is necessary for companies ...

    • Continuity versus Desertion in Pandemic Times: The Management of Engineering Schools in a Peruvian Private University via Big-Data Analysis † 

      Nieto-Chaupis, Huber (MDPI, 2023)
      Acceso abierto
      The main consequence of the arrival of COVID-19 was the application of social distancing, which mainly had implications regarding the economies of affected countries. This affected students, whose economy was weakened ...

    • Integration of Practices for Information Security Policy Compliance 

      Fong, Norman; Bayona-Oré, Sussy (Machine Intelligence Research (MIR) Labs, 2023)
      Acceso abierto
      With the incorporation of Information and Communication Technologies in organizations, Information Security is key to protect the organization's information assets. The purposes and objectives of the organization related ...

    • Theory of Planned Behavior (TPB) and the Information Security Policy 

      Fong, Norman; Bayona-Oré, Sussy (RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2023)
      Acceso restringido
      Compliance with Information Security Policies (ISP) is essential in institutions. Understanding the relationship between individual’s behavior toward compliance with the ISP has given rise to various proposals using different ...

    • 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. ...