• A Benefit Dependency Network for Shadow Information Technology Adoption, Based on Practitioners’ Viewpoints 

      Scalabrin Bianchi, Isaías; Vaquina, António; Pereira, Ruben; Dinis Sousa, Rui; Dávila Calle, Guillermo Antonio (MDPI, 2022)
      Acceso abierto
      Shadow information technology (SIT) revolves around systems that are hidden but are still managed by the same business entities. It consists of the use of devices, software, systems and applications without the information ...
    • A Comparison of Authentication Methods via Keystroke Dynamics 

      Lo Li, Aron; Ayma Quirita, Víctor Hugo; Gutiérrez Cárdenas, Juan Manuel (IEEE, 2020)
      Acceso restringido
      Authentication systems based on keystroke dynamics analyze the typical typing pattern of a user when interacting with an input device, such as the keyboard of a computer. In the literature, three major approaches on keystroke ...
    • A comparison of classification models to detect cyberbullying in the Peruvian Spanish language on twitter 

      Cuzcano Chavez, Ximena Marianne; Ayma Quirita, Victor Hugo (Science and Information Organization, 2020)
      Acceso abierto
      Cyberbullying is a social problem in which bullies’ actions are more harmful than in traditional forms of bullying as they have the power to repeatedly humiliate the victim in front of an entire community through social ...
    • A Serious Game for Recycling Education in Peruvian Children 

      Dávila Calle, Guillermo Antonio; Tocto Zamora, Paul David; Ayma Quirita, Víctor Hugo (Springer, 2023)
      Acceso restringido
      Peru has one of the lowest recycling rates compared to other emerging countries and the Latin American region. One of the main reasons is the lack of environmental education. The present study aimed to implement a serious ...
    • AI ethics for earth sciences 

      Rivas, Pablo; Thompson, Christopher; Tafur Acenjo, Brenda Xiomara; Khanal, Bikram; Ayoade, Olawale; Jui, Tonni Das; Sooksatra, Korn; Orduz, Javier; Bejarano, Gissella (Elsevier, 2023)
      Acceso restringido
      Following standards for artificial intelligence (AI) ethics and best practices can ensure that researchers and practitioners share better insights across subdisciplines. In the Earth sciences, the practice of responsible ...
    • An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications 

      Mondragon Ruiz, G.; Tenorio Trigoso, Alonso; Castillo Cara, J. M.; Caminero, B.; Carrion, C. (Springer, 2021)
      Acceso abierto
      Internet of Things (IoT) has posed new requirements to the underlying processing architecture, specially for real-time applications, such as event-detection services. Complex Event Processing (CEP) engines provide a powerful ...
    • Antecedents of telecommuting in emerging countries: The role of knowledge complexity 

      Dávila Calle, Guillermo Antonio; Poleza, Mariângela; Varvakis, Gregório (Wiley-Blackwell, 2022)
      Acceso restringido
      This research investigated the role of knowledge complexity and the individual, organisational, and technological determinants in telecommuting in an emerging economy. A sample of 452 Brazilian workers was surveyed, and ...
    • Apoyo social en educación superior: evidencias de validez y confiabilidad en el contexto peruano 

      Manrique Millones, Denisse Lisette; Millones Rivalles, Rosa Bertha; Dominguez Lara, Sergio; Pineda Marín, Claudia; Manrique Pino, Oscar (Pontificia Universidad Javeriana, 2020)
      Acceso abierto
      El apoyo social es un concepto fundamental que describe cómo las relaciones humanas positivas y las redes sociales permiten a las personas superar eventos estresantes y encontrarse en un estado de relativo bienestar. Este ...
    • Applying pair programming practice in the improvement of software design skills, in an undergraduate course 

      Quintana Cruz, Hernán Alejandro; Grados Licham, Billy (Association for Computing Machinery, 2020)
      Acceso abierto
      Teaching design patterns has proved to be a complicated topic in software engineering courses. Practitioners require mastering this technique in order to develop higher-quality programs. As part of the experiment, we ...
    • Are information systems and computer science overlapping more and more? 

      Gutiérrez Cárdenas, Juan Manuel (ACM Association for Computing Machinery, 2020)
      Acceso abierto
      In this research, we posit the importance of including Computer Science topics in undergraduate Information Systems courses. A review of the existing literature has mentioned the importance of learning some Computer Science ...
    • Artificial Intelligence Applied to the Control and Monitoring of Construction Site Personnel 

      Del Savio, Alexandre Almeida; Luna Torres, Ana Felícita; Cárdenas Salas, Daniel Enrique; Vergara Olivera, Mónica Alejandra; Urday Ibarra, Gianella Tania (Springer, 2023)
      Acceso restringido
      Many countries are working towards gradually lifting restrictions generated by the COVID-19 virus as post-quarantine measures. The construction industry has had to adapt to new forms of work with economic and physical ...
    • Association Between Substance Use Behaviors, Developmental Assets and Mental Health: A Glance at Latin American Young College Students 

      Manrique Millones, Denisse Lisette; Wiium, Nora; Pineda Marín, Claudia; Fernández Arata, Manuel; Alfonso Murcia, Diego; López Martínez, José Luis; Millones Rivalles, Rosa Bertha (Frontiers Media, 2021)
      Acceso abierto
      Positive Youth Development (PYD) is an approach that promotes resilience and focuses on youth strengths rather than their weaknesses as done by the traditional deficit-based perspective. Research in Europe and North America ...
    • Automated classification system of giant white corn using image processing and supervised techniques 

      Gonzales, Gabriela; Gutiérrez Cárdenas, Juan Manuel (International Society for Computers and Their Applications, 2018)
      Acceso restringido
      Nowadays, the use of artificial vision for classification in agricultural products has proven to have a great impact on this field. The exportation of agricultural goods has risen all over the world, consequently, that is ...
    • Benchmark-Based Reference Model for Evaluating Botnet Detection Tools Driven by Traffic-Flow Analytics 

      Huancayo Ramos, Katherinne Shirley; Sotelo Monge, Marco Antonio; Maestre Vidal, Jorge (Multidisciplinary Digital Publishing Institute (MDPI), 2020)
      Acceso abierto
      Botnets are some of the most recurrent cyber-threats, which take advantage of the wide heterogeneity of endpoint devices at the Edge of the emerging communication environments for enabling the malicious enforcement of fraud ...
    • Blockchain and smart contract for donation traceability 

      Ugaz Burga, Carlos; Valverde Grados, Rossy; Cárdenas Salas, Daniel Enrique (IEEE, 2021)
      Acceso restringido
      It has been observed that an organization that administers donations has problems controlling the flow of incoming and outgoing donations, as it does not have an accurate record of how many donations come in, how many go ...
    • Blockchain-Based System to Ensure the Integrity of Used Vehicle Purchase Transactions: Under Researchers’ Perspective 

      Sayán Barreto, José Leonardo; Beuzeville Espinoza, Rodrigo Arturo; Dávila Calle, Guillermo Antonio (Springer, 2022)
      Acceso restringido
      Through the increase in vehicle sales transactions globally, new ways are being created to change the current model of vehicle ownership transfer systems. The integrity of the data in this type of operation must be the ...
    • Classification of Breast Cancer and Breast Neoplasm Scenarios Based on Machine Learning and Sequence Features from lncRNAs–miRNAs-Diseases Associations 

      Gutiérrez Cárdenas, Juan Manuel; Wang, Z. (Springer, 2021)
      Acceso restringido
      The influence of non-coding RNAs, such as lncRNAs (long non-coding RNAs) and miRNAs (microRNAs), is undeniable in several diseases, for example, in the formation of neoplasms and cancer scenarios. However, there are ...
    • Comparing Regression Models to Predict Property Crime in High-Risk Lima Districts 

      Escobedo Neyra, María Cielo; Tapia Aquino, Cynthia, Lizet; Gutiérrez Cárdenas, Juan Manuel; Ayma, Víctor (Science and Information Organization, 2024)
      Acceso abierto
      Crime continues to be an issue, in Metropolitan Lima, Peru affecting society. Our focus is on property crimes. We recognized the lack of studies on predicting these crimes. To tackle this problem, we used regression ...
    • Comparison of Classifiers Models for Prediction of Intimate Partner Violence 

      Guerrero, Ashly; Gutiérrez Cárdenas, Juan Manuel; Romero Romero, Vilma Susana; Ayma Quirita, Victor Hugo (Springer, 2021)
      Acceso restringido
      Intimate partner violence (IPV) is a problem that has been studied by different researchers to determine the factors that influence its occurrence, as well as to predict it. In Peru, 68.2% of women have been victims of ...
    • Comparison of Supervised Learning Models for the Prediction of Coronary Artery Disease 

      Vasquez Gonzaga, Hillary Dayanna; Gutiérrez Cárdenas, Juan Manuel (Association for Computing Machinery, 2021)
      Acceso abierto
      Cardiovascular diseases and Coronary Artery Disease (CAD) are the leading causes of mortality among people of different ages and conditions. The use of different and not so invasive biomarkers to detect these types of ...