Browsing Artículos de Investigación by Title

Now showing items 346-365 of 490

    • 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 ...

    • Predicting willingness to consume healthy brand foods using the theory of planned behavior: the role of nutritional literacy 

      Chilón-Troncos, Rony Francisco; García-Salirrosas, Elizabeth Emperatriz; Escobar-Farfán, Manuel; Millones-Liza, Dany Yudet; Villar-Guevara, Miluska (Frontiers, 2023)
      Acceso abierto
      Introduction: The willingness to consume healthy foods has highlighted the growing importance of health, even more so when it comes to food choice, and predicting the willingness to consume foods of a healthy brand represents ...

    • 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 ...

    • Preliminary Results from the Use of Pear Waste in Single-Chamber Microbial Fuel Cells 

      Rojas-Flores, Segundo; Nazario-Naveda, Renny; Benites, Santiago M.; Gallozzo-Cardenas, Moisés (Springer Link, 2023)
      Acceso restringido
      Organic waste, mainly fruit waste, has become a global problem, even more so in developing countries, because they need current policies for its proper collection. This research used pear remains in microbial fuel cells ...

    • Preliminary Study of Bioelectricity Generation Using Lettuce Waste as Substrate by Microbial Fuel Cells 

      Rojas-Villacorta, Walter; Rojas-Flores, Segundo; Benites, Santiago M.; Nazario-Naveda, Renny; Romero, Cecilia V.; Gallozzo-Cardenas, Moisés; Delfín-Narciso, Daniel; Díaz, Felix; Murga-Torres, Emzon (MDPI, 2023-06-30)
      Acceso abierto
      Agricultural waste negatively impacts the environment and generates economic difficulties for agro-industrial companies and farmers. As a result, it is necessary for an eco-friendly and sustainable alternative to managing ...

    • 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 ...

    • Production of Bioferments from Artichoke and Asparagus Waste with High Unicellular Protein and Carotenoid Content Using R. mucilaginosa 

      De La Cruz-Noriega, Magaly; M. Benites, Santiago; Rojas-Flores, Segundo; Quiñones-Cerna, Claudio; Terrones Rodríguez, Nicole; Robles-Castillo, Heber; Huanes-Carranza, Johnny; Mendoza-Villanueva, Karol (MDPI, 2023)
      Acceso abierto
      Microorganisms’ degradation of agro-industrial waste produces bad odors and greenhouse gases that contribute to global warming. Consequently, eco-friendly, sustainable biotechnological alternatives to this waste are ...

    • 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 ...

    • PROPIEDADES PSICOMÉTRICAS DE LA “ESCALA DE ESTRÉS ANTE ENFERMEDADES TRANSMISIBLES” EN TIEMPOS DE COVID-19 

      Anicama, José; Ignacio, Felipe; Pizarro, Ruth; Pineda, Carolina; Aguirre, Marivel; Vallenas, Francisco; Talla, Karina (Behavioral Psychology, 2022)
      Acceso abierto
      La pandemia por Covid-19 ha tenido un impacto negativo en la salud mental incluyendo el estrés. Nuestro estudio tuvo como objetivo diseñar y validar psicométricamente la “Escala de estrés ante enfermedades transmisibles” ...

    • 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 ...

    • Propuesta de diseño estructural del vehículo de tres ruedas para el mejoramiento de la calidad de vida del ciudadano, Perú 

      Serna-Landivar, José L; Risco Sernaque, Madelaine Violeta; Rivas Moreano, Ana Beatriz; Mendoza Damas, Marleni M; Garcia-Alvarez, Maria Ysabel G; Sotteccani Auccahuaque, Katy; Anticona-Valderrama, Daniela M. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology 253, 2023)
      Acceso abierto
      Los accidentes de tránsito de vehículos son un gran problema porque provoca muertes y daños a los ciudadanos, para solucionar esta problemática los nuevos diseños de los vehículos deben ser cada día mejores en seguridad ...

    • 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 ...