Browsing Artículos de Investigación by Title

Now showing items 338-357 of 486

    • Potential Use of Mango Waste and Microalgae Spirulina sp. for Bioelectricity Generation 

      De La Cruz-Noriega, M.; Nazario-Naveda, R.; Benites, Santiago M.; Rojas-Flores, S.; Delfín-Narciso, D.; Rojas-Villacorta, W.; Díaz, F. (Environmental Research, Engineering and Management, 2022)
      Acceso abierto
      Potential use of organic waste and microalgae generates bioelectricity and thereby reduces harmful effects on the environment. These residues are used due to their high content of electron-generating microorganisms. However, ...

    • Potential use of pepper waste and microalgae Spirulina sp. for bioelectricity generation 

      Rojas-Villacorta, W.; Rojas-Flores, S.; Benites, Santiago M.; Delfín-Narciso, D.; De La Cruz-Noriega, M.; Cabanillas-Chirinos, L.; Rodríguez-Serin, H.; Rebaza-Araujo, S. (Elsevier, 2023)
      Acceso abierto
      The research aimed to generate bioelectricity using pepper waste and the microalgae Spirulina sp by a double-chamber microbial fuel cell (dcMFC). A dcMFC was constructed with Cu and Zn electrodes, where organic waste 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 ...

    • 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 ...

    • 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” ...