Browsing Ingeniería de Sistemas by Title

Now showing items 128-147 of 279

    • Ions Diffusion and Electrodynamics Interactions Inside Pancreatic Beta Cells 

      Nieto-Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2020-12-16)
      Acceso restringido
      In this paper a hybrid scheme given by diffusion equation in conjunction to classical electrodynamics to examine physics-based mechanisms behind the behavior of beta cells, is presented. Particular attention is paid on the ...

    • IoT system for CO2 level monitoring and analysis in educational environments 

      Chanchí-Golondrino, Gabriel E.; Ospina-Alarcón, Manuel A.; Rodriguez-Baca, Liset S. (WYDAWNIC TWO SIGMA-NOT, 2023)
      Acceso restringido
      From the need derived from the pandemic originated by COVID-19 regarding the development of academic activities in a face-to-face manner, respecting biosafety protocols and ensuring that the air quality in classrooms is ...

    • 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 ...

    • Is Drug Delivery System a Deterministic or Probabilistic Approach? A Theoretical Model Based on the Sequence: Electrodynamics–Diffusion–Bayes 

      Nieto-Chaupis, Huber (MDPI, 2023)
      Acceso abierto
      Commonly, it is accepted that oncology treatment would yield outcomes with a certain determinism without any quantitative support or mathematical model that establishes such deter minations. Nowadays, with the advent of ...

    • Kirchhoff’s Voltage Law at Neural Synapse From Electric Currents Based at Neurotransmiters 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      Because the neural complexity at brain and the demonstrated electric activity, this paper triggers the hypothesis that the neural synapse might be a tangible outcome of kirchhoff’s laws. Thus, when a direct association ...

    • Lessons Learned and Software Process Improvement 

      Bayona Oré, Sussy; San Feliu, Tomas (Association for Computing Machinery, 2017-08)
      Acceso abierto
      Current methods focus on the aspects related to the lessons learned, feedback and information sharing, however many organizations do not establish feedback mechanisms for organizational learning with the lessons learned ...

    • Limitaciones para Finalizar la Tesis: Caso de Estudio 

      Bayona-Oré, Sussy; Bazan, Ciro; Oblitas, Luis (International Business Information Management Association, 2018)
      Acceso restringido
      The students mostly complete the studies; however, they do not finish the Thesis an indispensable requirement for obtaining the degree. Thesis development is a complex process and has been denominated multiplicity. A factor ...

    • Limitations in Thesis Development of Systems Engineering: Knowledge and Skills 

      Bayona-Oré, Sussy (Springer, 2021)
      Acceso restringido
      The thesis development is a combined process that requires the student’s knowledge, skills, and self-determination to complete the thesis and reach the desired degree. Despite the efforts made by students, research supervisor ...

    • Limitations on the Phases and Activities of Thesis Development 

      Bayona-Oré, Sussy (RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2023)
      Acceso restringido
      The thesis is part of the scientific production of universities and in the case of undergraduate students, allows them to achieve the professional title. Several studies argue that the process of preparing the thesis is ...

    • 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 ...

    • M-Learning applied to the improvement of the learning of university engineering students 

      Petrlik Azabache, Iván; Rodriguez Rodriguez, Ciro; Lezama Gonzales, Pedro (Institute of Electrical and Electronics Engineers, 2019-09)
      Acceso restringido
      This paper is intended to determine the extent to which the M-learning model with methodological strategies improves the learning of student’s undergraduates of the Systems Engineering career. The method used was developed ...

    • 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 ...

    • Machine Learning and Bayes Probability For Detecting Camouflaged Mini Pandemic at the Waves of Covid-19 

      Nieto-Chaupis, Huber (IEEE, 2022)
      Acceso restringido
      This paper present a methodology based at Machine Learning and a theory backed by the Bayes probability to identify rare strains that might not be in coherence with the corona virus. By using the criteria of Tom Mitchell ...

    • 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 ...

    • Machine Learning As a Blind Creator of Infinite Algebras in the Context of Strings Theory 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      This paper, presents the scenario that basic algorithms based at the principles of Machine Learning can massively produce a huge amount of algebras. The case of Witt algebra has been focused. Once this algebra is reformulated ...

    • Machine Learning As an Advanced Algorithm To Solve Optimization Problems in Physics 

      Nieto-Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2021-08-19)
      Acceso restringido
      It is argued that the standard procedures to solve problems in physics particularly in the field of electrodynamics have in a tacit manner the actions of Machine Learning, such as the criteria of Tom Mitchell, (i) task, ...

    • Machine Learning for Management in Software-defined Networks: A Systematic Literature Review 

      Aparcana-Tasayco, Andres J.; Gamboa-Cruzado, Javier (DBpia, 2022)
      Acceso restringido
      Software-Defined Networking (SDN) has emerged as a new paradigm for managing data networks, and Machine Learning (ML) techniques have become relevant in the scientific community to solve management problems. Research on ...

    • Machine Learning for Price Prediction for Agricultural Products 

      Bayona-Oré, Sussy; Cerna, Rino; Tirado Hinojoza, Eduardo (World Scientific and Engineering Academy and Society, 2021-06-07)
      Acceso abierto
      Family farms play a role in economic development. Limited in terms of land, water and capital resources, family farming is essentially characterized by its use of family labour. Family farms must choose which agricultural ...

    • 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 ...