Browsing Ingeniería de Sistemas by Title

Now showing items 176-195 of 271

    • Pandemic of Covid-19 as Global Entropy: When Shannon Theory fits To-Date Data of New Infections 

      Nieto-Chaupis, Huber (Universidad Autónoma del Perú, 2021-12)
      Acceso restringido
      It is well-known that Coronavirus has been propagated due to human activities mainly based at intercontinental flights. Thus, in the first months of 2020, most new countries have already presented peaks in the number of ...

    • Particles Detector as Random Numbers Generator at the Internet of Space Things Based at the BB84 Protocol 

      Nieto-Chaupis, Huber (IEEE, 2022)
      Acceso restringido
      This paper presents a proposal based at the conjunction of Internet of Space Things and quantum mechanics in order to establish a secure mechanism of inter-satellite communication. For this end the central idea of BB84 ...

    • Physics Fundamentals of an Internet of Nanomedicine Things 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      It is well-known the abundance of Glutamate in brain, that plays the role as neurotransmitter and it is essential for the learning and memory. Because this neurotransmitters have a negative electric charge, then them can ...

    • PMBOK as a Reference Model for Academic Research Management 

      Bayona, Sussy; Bustamante, Jose; Saboya, Nemias (Springer, 2018)
      Acceso restringido
      Nowadays, in different institutions of higher education there is a tendency towards quality, and even more so with the publication of the New University Law 30220, which reformed education to promote formative research. ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Predictive machine learning applying cross industry standard process for data mining for the diagnosis of diabetes mellitus type 2 

      Garcia-Rios, Victor; Marres-Salhuana, Marieta; Sierra-Liñan, Fernando; Cabanillas-Carbonell, Michael (IAES International Journal of Artificial Intelligence (IJ-AI), 2023)
      Acceso abierto
      Currently, type 2 diabetes mellitus is one of the world's most prevalent diseases and has claimed millions of people's lives. The present research aims to know the impact of the use of machine learning in the diagnostic ...

    • 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 ...

    • Predictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Present 

      Nieto-Chaupis, Huber (Universidad Autónoma del Perú, 2021-10-18)
      Acceso restringido
      The data of infections by Covid-19 is modeled through the integer-order Bessel functions that have been parametrized in according to the morphology of data. In particular, the modeling is focused on official data belonging ...

    • Price Prediction of Agricultural Products: Machine Learning 

      Cerna, Rino; Tirado, Eduardo; Bayona-Oré, Sussy (Springer, 2022)
      Acceso restringido
      Family farming is essentially characterized by the use of family labor force, due to the lack of land, water, and capital resources. An important tool is which allows them to know which products will be the best priced ...

    • Principles of a Prospective Internet of Public Viral Surveillance 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      In this paper, the fundamentals of a prospective Internet that aims to collect electric charge of virions at streets is presented. The purpose of this paper is twofold: (i) In one hand to demonstrate the capability of ...

    • Probabilistic Classical Electrodynamics as Weibull Functions from Diffusion Equation 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      The Weibull distributions have been identified at the case when the diffusion of charged particles inside a finite cylinder are under repulsion created by an external charge playing the role as actuator. This would trigger ...

    • Probabilistic Neural Synapse Based in Quantum Mechanics 

      Nieto-Chaupis, Huber (IEEE, 2022)
      Acceso restringido
      The process of synaptic transmission is projected onto the territory of quantum mechanics. Thus, the electric interactions are seen as probabilistic events more than a deterministic one. In this manner, the neurotransmitter ...

    • Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies 

      Nieto-Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2020-12-16)
      Acceso restringido
      In this paper, the action that lead to an efficiently Targeted Drug Delivery through the process of internalization is studied. Although one can expects that the probability to reach a target is, however in praxis this ...

    • Probabilities of Risk Due to Random Aerosol Displacement and Aleatory Social Distancing 

      Nieto-Chaupis, Huber (IEEE, 2021)
      Acceso restringido
      With the apparition of Corona Virus Disease (Covid-19 in short) a plethora of mechanisms have emerged in order to protect people. One of them is the well-known social distancing that is a global protocol that has emerged ...

    • Productivity of incident management with conversational bots-a review 

      Iparraguirre-Villanueva, Orlando; Obregon-Palomino, Luz; Pujay-Iglesias, Wilson; Sierra-Liñan, Fernando; Cabanillas-Carbonell, Michael (IAES International Journal of Artificial Intelligence (IJ-AI), 2023)
      Acceso abierto
      The use of conversational agents (bots) in information systems managed by company’s increases productivity in the development of activities focused on processes such as customer service, healthcare, and presentation. The ...

    • Proposal of a Systemic Model for Integration of Strategic Planning in Corporate Level with Balanced Scorecard 

      Gamboa Cruzado, Javier Arturo; Chancusig-Chisag, Juan Carlos; Morales Lozada, José Vicente; Alfaro Acuña, Anthony Johan (Springer, Cham, 2022-05-26)
      Acceso restringido
      A New Model that integrates corporate strategy with the Balanced Scorecard is studied to improve decision-making executives by merging Models Relevant systems, making use of Soft Systems Methodology (SSM), which is based ...

    • Proposal of Wireless Measurement of Albumin Excretion Rate at the THz Band 

      Nieto-Chaupis, Huber (IEEE, 2022)
      Acceso restringido
      This paper presents a scheme of wireless measurement of excreted Albumin through the deployment of a nano spring whose expected role is the sending of signals from the electrical interaction between the nano device and the ...

    • PROSISY: PRospective Stroke Identification SYstem Based on Cognitive Radio Theory and Machine Learning 

      Nieto-Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2020-09-01)
      Acceso restringido
      In this paper, a surveillance system expected to run in the prospective technology called Internet of Bio-Nano Things is presented. For this end the theory of Cognitive Radio as well as the Machine Learning criteria based ...