Artículos de Investigación: Recent submissions

Now showing items 221-240 of 565

    • 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 ...

    • Evaluación Cuantitativa del Impacto de la Inteligencia Artificial en la Automatización de Procesos 

      Palomino Quispe, Justiniano Felix; Zapana Diaz, Domingo; Choque-Flores, Leopoldo; Castro León, Alisson Lizbeth; Villar Requis Carbajal, Luis; Pacherres Serquen, Edwin Eduardo; García-Huamantumba, Arturo; García-Huamantumba, Elvira; García-Huamantumba, Camilo Fermín; Guanilo Paredes, Carlos Enrique (Editorial Salud, Ciencia y Tecnología, 2023)
      Acceso abierto
      Introducción: en la era actual, la Inteligencia Artificial (IA) ha transformado profundamente la operación y gestión de procesos empresariales, siendo esencial para la competitividad. Este artículo se enfoca en evaluar ...

    • Changing Mathematical Paradigms at the University Level: Feedback from a Flipped Classroom at a Peruvian University 

      Beltozar-Clemente, Saul; Iparraguirre-Villanueva, Orlando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (International Journal of Interactive Mobile Technologies (iJIM), 2023)
      Acceso abierto
      The university-level mathematics teaching adopted by many professors is still a traditional classroom, and many students’ perception of mathematics is that it is a complicated subject. The operationality of the flipped ...

    • Hybrid Courses Based on Basic Sciences and Green Technologies in Engineering Programs 

      Nieto-Chaupis, Huber (MDPI, 2023)
      Acceso abierto
      An ineluctable topic has emerged and needs to be treated in engineering programs for green energies. Particularly in the programs of electrical and systems engineering, students can acquire the capabilities to envision the ...

    • Deep Neural Network to Describe the Measurement of the Higgs Production in the Full Leptonic Channel via Vector Boson Fusion 

      Sánchez, Luis; Díaz, Félix; Rojas, Jhonny (LACCEI international Multi-conference for Engineering, Education and Technology, 2023)
      Acceso abierto
      In this article, an analysis of the Higgs boson production via vector boson fusion in the SM H→WW→ 2l2ν (l = e, μ) is performed from an optimization technique in the event selection, called DNN analysis. This analysis ...

    • Augmented Reality for Quechua Language Teaching-Learning: A Systematic Review 

      Cardenas-Valdivia, Jhonatan; Flores-Alvines, Jean; Iparraguirre-Villanueva, Orlando; Cabanillas-Carbonell, Michael (International Journal of Interactive Mobile Technologies (iJIM), 2023)
      Acceso abierto
      With the passage of time, the advancement of technology is evident, Augmented Reality (AR) is an innovative technological tool that has emerged and has been highly attractive to users, allowing the sharing of information ...

    • e-RetailTest: Scale to Assess the Attitude of Consumers towards E-Commerce in the Retail Sector 

      García-Salirrosas, Elizabeth Emperatriz; Rondon-Eusebio, Rafael Fernando; Millones-Liza, Dany Yudet; Bejarano-Auqui, Jesús Fernando (MDPI, 2023-03)
      Acceso abierto
      Changes in consumer behavior are driven by tastes and preferences that change over time as their socioeconomic conditions change. The objective of this study was to validate the psychometric characteristics of the e-RetailTest ...

    • Experimental Study based on the Implementation of a Regulatory Framework for the Improvement of Cyber Resilience in SMEs 

      Rodriguez-Baca, Liset S.; Allagi, Shridhar; Larrea-Serquen, Rosa; Cruzado, Carlos F.; Alarcon Diaz, Mitchell; Garcia-Hernández, Sandra; Daza Monteiro, Julio (Auricle Global Society of Education and Research, 2023)
      Acceso abierto
      Currently, applying regulations oriented to cybersecurity, cyber resilience is relevant to face the high rates of cyberattacks, which have caused an interruption in the operational processes of organizations, generating ...

    • Design of a Web Application to Increase the Sales of the Company Neverland in Lima, Peru 

      García Paraizaman, Anaclaudia; Paredes Quispe, Angie Neri; Quispe Aquino, María del Carmen; Cano Lengua, Miguel Angel (Seventh Sense Research Group®, 2023)
      Acceso abierto
      Nowadays, the internet has become the most popular tool used to communicate and exchange information, but it is not very feasible due to the lack of knowledge of its proper use related to digital skills, hindering its ...

    • Augmented Reality as an Option to Enhance the Tourism Experience - A Review 

      Allcca-Alarcón, Luis; Calagua-Montoya, Jorge; Iparraguirre-Villanueva, Orlando; Cabanillas-Carbonell, Michael (Seventh Sense Research Group®, 2023)
      Acceso abierto
      Due to the Covid-19 situation, the tourism sector has faced several challenges to be able to gradually continue with its different activities related to the tourism experience. Therefore, the sector has had to reinvent ...

    • Undamped, Damped and Forced Motion, Physical Simulation with the Geogebra Tool 

      Campos Saravia, Reynaldo; Manco Chávez, José Antonio; Manco Arroyo, Nicolas Silver; Crisóstomo Olivares, Jorge Antonio; Huaman Carhuatocto, Jeannina Del Alva; Blas Montenegro, Luz Petronila; Díaz Hinostroza, Mary Rosaura; Barazorda Puga, Nancy (International Journal of Membrane Science and Technology, 2023)
      Acceso abierto
      Currently due to the pandemic situation that has affected the world community without distinction of languages, customs and creeds, technology was incorporated massively to achieve the continuity of progress in research, ...

    • Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes 

      Iparraguirre-Villanueva, Orlando; Espinola-Linares, Karina; Ornella Flores Castañeda, Rosalynn; Cabanillas-Carbonell, Michael (MDPI, 2023)
      Acceso abierto
      Early detection of diabetes is essential to prevent serious complications in patients. The purpose of this work is to detect and classify type 2 diabetes in patients using machine learning (ML) models, and to select the ...

    • Detection of Breast Cancer using Convolutional Neural Networks with Learning Transfer Mechanisms 

      Guevara-Ponce, Victor; Roque-Paredes, Ofelia; Zerga-Morales, Carlos; Flores-Huerta, Andrea; Aymerich-Lau, Mario; Iparraguirre-Villanueva, Orlando (SAI The Science and Information Organization, 2023)
      Acceso abierto
      Breast cancer is the leading cause of mortality in women worldwide. One of the biggest challenges for physicians and technological support systems is early detection, because it is easier to treat and establish curative ...

    • Artificial Intelligence in Engineering and Computer Science Learning: Systematic Review Article 

      Manco-Chávez, José Antonio; Manco Arroyo, Nicolas Silver; Sánchez Aguirre, Flor de María; Campos Saravia, Reynaldo; Diaz Hinostroza, Mary Rosaura; Blas Montenegro, Luz Petronila; Muñante Toledo, Melissa Fatima; Crisóstomo Olivares, Jorge Antonio; Barazorda Puga, Nancy (International Journal of Membrane Science and Technology, 2023)
      Acceso abierto
      Until the present, the technology has made students and teachers to object in its use, the quick development of it in engineering has been possible by the appearance of the covid-19, the objective of this investigation is ...

    • Classification of Tweets Related to Natural Disasters Using Machine Learning Algorithms 

      Iparraguirre-Villanueva, Orlando; Melgarejo-Graciano, Melquiades; Castro-Leon, Gloria; Olaya-Cotera, Sandro; John, Ruiz-Alvarado; Epifanía-Huerta, Andrés; Cabanillas-Carbonell, Michael; Zapata-Paulini, Joselyn (International Journal of Interactive Mobile Technologies (iJIM), 2023)
      Acceso abierto
      Abstract—In recent years, computer science has advanced exponentially, helping significantly to identify and classify text extracted from social networks, specifically Twitter. This work identifies, classifies, and analyzes ...

    • Augmented reality for innovation: Education and analysis of the glacial retreat of the Peruvian Andean snow-capped mountains 

      Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael; Iparraguirre-Villanueva, Orlando; Sierra-Liñan, Fernando; Baltozar-Clemente, Saul; Alvarez-Risco, Aldo; Yáñez, Jaime A. (Elsevier, 2023)
      Acceso abierto
      Mountain glaciers are considered great reservoirs of water, and their importance lies in the fact that many of our ecosystems and numerous communities depend on them; Peru has one of the largest extensions of Andean ...

    • 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 ...

    • 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 ...

    • A Comprehensive Systematic Review of Neural Networks and Their Impact on the Detection of Malicious Websites in Network Users 

      Gamboa-Cruzado, Javier; Briceño-Ochoa, Juan; Huaysara-Ancco, Marco; Alva-Arévalo, Alberto; Ríos-Vargas, Caleb; Arangüena Yllanes, Magaly; Rodriguez-Baca, Liset S. (International Journal of Interactive Mobile Technologies (iJIM), 2023)
      Acceso abierto
      The large branches of Machine Learning represent an immense support for the detection of malicious websites, they can predict whether a URL is malicious or benign, leaving aside the cyber attacks that can generate ...

    • Forest fire management using machine learning techniques 

      Harishchander, Anandaram; Nagalakshmi, M; Cosio Borda, Ricardo Fernando; Kiruthika, K; Yogadinesh, S (Elsevier, 2023)
      Acceso abierto
      As per the latest survey produced by the Forest Survey, the forest cover is 19.27% of the geographic area. According to this report every country can meet the human needs of 16% of the world’s population from the 1% of the ...