Tópicos Sugeridos dentro de su búsqueda.
Tópicos Sugeridos dentro de su búsqueda.
1
artículo
Publicado 2021
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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, (ii) performance, and (iii) experience. In this way, it is presented the case of electric interaction of two charged objects inside a finite cylindric. It is found that Machine Learning concepts is matching well to the requirements to limit the usage of space and energy. Beyond of using such principles as a methodology to solve problems, the concepts of Machine Learning can be projected in the theory of physics to improve and calibrate the mathematical structure of physics equations without touching their fundamental roles.
2
artículo
Publicado 2025
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Purpose. The study's main objective is to analyze publications on transmedia and narrative in the Scopus database, identifying the evolution of terms by year, to propose a classification according to the broad themes found. Methodology. We applied an unsupervised machine learning algorithm, called topic modeling, to identify the main themes addressed. Then, we apply open and axial coding from grounded theory to identify important concepts, aggregate them, and propose higher-order themes that can be used to classify the knowledge generated on transmedia and narrative. Results and conclusions. Five research themes are revealed, displayed in an evolutionary model: Convergence between platforms: games, television, and movies; Intermediality, authorship, and semiotic universes; Semiotic analysis and multimodality in transmedia narratives; Political and cultural interpretations in transmedia j...
3
tesis de grado
Publicado 2023
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Machine Learning es una rama de la inteligencia artificial que hace posible que las máquinas aprendan por sí mismas y puedan realizar tareas de forma autónoma sin tener la necesidad de estar programadas. Cuando hablamos de máquinas, no necesariamente tenemos que referirnos a equipos, en este caso estamos orientando la explicación a modelos de inteligencia artificial. Sin duda alguna, este es un gran aliado para lograr ventajas competitivas en las empresas, debido a que puede conseguir grandes beneficios si es implementado correctamente. Sin embargo, existen desafíos para que la implementación de Machine Learning se lleve a cabo con éxito en entornos comerciales reales, para afrontar estos desafíos los profesionales necesitan conocer los conceptos y procesos básicos de la implementación. Por este motivo, el presente trabajo describe posturas de diferentes autores sobre factores...
4
artículo
This article explains basic concepts of Artificial Intelligence (AI) linked to forest biomass estimation, and reviews three research studies carried out in tropical areas using AI models with traditional allometric equations. The results show that AI-based methods have greater accuracy and ability to relate key variables in forest biomass development than allometric equations. These facts highlight the need for Peruvian forest engineers to develop capabilities for the use of AI in the estimation of forest biomass in the country. This capacity building would imply a more demanding curriculum in mathematics, statistics and computer science for forest engineers; as well as the installation of an extensive network of permanent plots for the creation of a solid database of the variables involved in the development of forest biomass. It is proposed to start a discussion on the subject among th...
5
tesis de grado
Publicado 2023
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Reducir el exceso o escases de productos en una empresa retail, puede ser un proceso muy desafiante, debido a las malas prácticas que se utilizan al realizar importaciones en este tipo de empresas. Esto trae como principal consecuencia que el inventario no tenga el abasto suficiente de productos por la falta de una correcta predicción en el stock. Una orden de compra no suele ser un concepto complejo de entender ni de ejecutar dentro de una rutinaria estrategia de compras. Sin embargo, en el caso de las órdenes de compra manual la cuestión es complicada porque en muchas ocasiones tienen como resultado procesos ineficientes. Esto suele pasar porque una orden de compra va unida principalmente a la toma de decisiones. En este trabajo, se implementó un módulo de órdenes de compra dentro del sistema de ventas que posee la empresa. Para ello, se utilizó la biblioteca TensorFlow que se ...
6
artículo
Publicado 2023
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In this work, we consider the time-harmonic Maxwell’s equations and their numerical solution with a domain decomposition method. As an innovative feature, we propose a feedforward neural network-enhanced approximation of the interface conditions between the subdomains. The advantage is that the interface condition can be updated without recomputing the Maxwell system at each step. The main part consists of a detailed description of the construction of the neural network for domain decomposition and the training process. To substantiate this proof of concept, we investigate a few subdomains in some numerical experiments with low frequencies. Therein the new approach is compared to a classical domain decomposition method. Moreover, we highlight current challenges of training and testing with different wave numbers and we provide information on the behaviour of the neural-network, such as...
7
artículo
Publicado 2021
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Sentiment analysis is used to analyse customer sentiment by the process of using natural language processing, text analysis, and statistics. A good customer survey understands the sentiment of their customers—what, how and why they’re saying it. Sentiment dataset can be found mainly in tweets, comments and reviews. Sentiment Analysis understands emotions with the help of software, and it is playing an inevitable role in today’s workplaces. Sentiment analysis for opinion mining has become an emerging area where more research and innovations are done. Sentiment or opinion analysis based on a domain is done using several algorithms. Machine learning is a concept among this area. In this, the main focus is on the supervised sentiment analysis or opinion mining algorithms. Supervised learning is a division coming under machine learning. Different methods of supervised learning and senti...
8
artículo
Publicado 2022
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In this research, we want to present the concepts and techniques used in a big data project for a European supermarket company, through a customer segmentation proposal, using the k-means algorithm, and a recommender system, via Light FM library. The main conclusions include the importance of adequately defining the problem to be solved, the correct use of the big data infrastructure, the relevance of the exploratory analysis of the dataset and its pre-processing, as well as the use of the TDSP methodology (Team Data Science Process), oriented to big data projects.
9
artículo
Publicado 2022
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In this research, we want to present the concepts and techniques used in a big data project for a European supermarket company, through a customer segmentation proposal, using the k-means algorithm, and a recommender system, via Light FM library. The main conclusions include the importance of adequately defining the problem to be solved, the correct use of the big data infrastructure, the relevance of the exploratory analysis of the dataset and its pre-processing, as well as the use of the TDSP methodology (Team Data Science Process), oriented to big data projects.
10
artículo
Publicado 2017
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Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.
11
artículo
Publicado 2017
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Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.
12
artículo
Artificial Intelligence and machine learning systems are revolutionizing not only the way we live and interact but also the way we apply this type of technology in war conflicts. While it is true that in many cases the idea of Artificial Intelligence can be presented as a very remote concept, machine learning systems, even at their current levels of development, can present a more real threat than all this developed and potential technology. This article seeks to socialize the information related to the current potential of machine learning systems and analyze to what extent these advances are aligned with the norms of International Humanitarian Law. Although the development of this technology occurs on a larger scale in corporate settings, the race to militarize these findings exists is not alien to our reality and is more present than we imagine.
13
artículo
Publicado 2014
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The main objective of this research is to deepen our understanding of the concept of cooperative interaction under conditions of asynchronous mediation in virtual learning. The study starts with the basic assumption that technology is not a neutral component in an interaction (Person–Machine–Person). It follows; therefore, that a change in the way of perceiving interaction may be created by the way manoeuvrability is facilitated via the internet and the framework of virtuality. The research methodology examines the cooperative asynchronous interaction as two different but complementary processes. The initial, theoretical exploration is designed to understand the psychological, pedagogical and technological factors under which cooperation in virtual learning is generated. The subsequent, empirical exploration is designed to observe –via a triangulation of the data– how the coopera...
14
objeto de conferencia
Publicado 2021
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El desarrollo de la inteligencia artificial ha planteado una serie de retos en cuanto al futuro y la sostenibilidad del trabajo humano. Sin embargo, el desarrollo de la tecnología ha traído consigo el desarrollo de conceptos como el de la inteligencia aumentada (IA), el cual tiene por objetivo el mejoramiento de las capacidades humanas mediante la interacción hombre-máquina para la solución de problemas complejos en diferentes áreas del conoci miento. Esta interacción supone una serie de retos desde lo tecnológico, ya que la experiencia humana es un proceso complejo de transfer learning para que las máquinas sean un comple mento perfecto de las personas. En el contexto de la agricultura de precisión, las plataformas de inteligencia aumentada (AIP, por sus siglas en inglés) han surgido como una alternativa importante para el fortalecimiento de las capacidades en la detección y...
15
artículo
Publicado 2025
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The COVID-19 pandemic accelerated the adoption of virtual and hybrid teaching methods, leading to substantial changes in educational approaches. This study focused on evaluating the effect of mediating technologies on post-pandemic educational processes, emphasizing their essential role in enhancing interaction and cooperation between teachers and students. Although their relevance is evident, challenges persist in terms of access, quality, and evaluation of technological educational initiatives. To address these challenges, a comprehensive literature review was conducted, examining 26 international academic studies published in the last five years. The findings indicate that mediating technologies positively influence motivation, student retention, and self-directed learning, especially in higher education and language teaching. However, the effects vary depending on the context. It is ...
16
artículo
Publicado 2023
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Research on the bibliographic review studies on collaborative learning at the university level published in the last five years, allows to verify an absence of systematic comparative analysis of explicit and exhaustive analytical criteria that enables ordering of the different contributions. Precisely, the objective of this work was to establish a referential analytical model that allows a clear systematization of the corpus of articles recovered in the period 2018-2022. To meet this objective, a bibliographic search was carried out in the databases: SciELO, RedALyC, Eric and Dialnet. 71 studies were recovered. In the first part of the manuscript, this corpus of research was analyzed based on the constructed analytical criteria or variables. In the second part, the variables of the proposed model were analyzed inclusively. Based on this systematization, 12 studies were selected that can ...
17
tesis de maestría
Publicado 2023
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La presente investigación se basa principalmente en la implementación de un modelo de Inteligencia de Negocios basado en minería de opinión sobre comentarios a publicaciones expresados por usuarios en redes sociales. El modelo será implementado en una empresa corredora de seguros en el Perú. Uno de los grandes desafíos que enfrentan las empresas en la nueva era de la información es tener la capacidad de transformar los datos en información y convertir la información en conocimiento para la toma de decisiones. Asimismo, En los últimos años las empresas enfrentan nuevos desafíos como son: la innovación, el incremento de uso de internet, las redes sociales, los teléfonos inteligentes, la conectividad y la ubicuidad de las personas. Para lograr el éxito en la innovación es fundamental una profunda compresión de los clientes. Existen tres motivaciones para que las personas e...
18
tesis de grado
Publicado 2024
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La presente investigación desarrolla un modelo predictivo de accidentes de trabajo en el sector minero peruana. La realidad problemática en el sector minero tiene como hecho la impredecibilidad de los accidentes de trabajo, muchas veces la estadística no resulta suficiente para lograr predecir o pronosticar sucesos de fatalidad, sumado a ello un ineficiente sistema de gestión de seguridad que no incorpore modelos predictivos más certeros. La investigación se centra en diseñar un modelo de predictibilidad de accidentes mortales en el sector minero peruano. Para lograr la creación de un modelo predictivo de accidentes mortales se utilizan las herramientas del Deep Learning. Se siguen los conceptos del aprendizaje automático supervisado, redes neuronales artificiales multicapa, redes neuronales recurrentes y la herramienta del Long Short Term Memory. Se toma en cuenta los registros...
19
artículo
La Inteligencia Artificial y los sistemas de aprendizaje automático están revolucionando no solamente la forma en la que vivimos y nos relacionamos, sino también la manera en la que aplicamos este tipo de tecnología en conflictos bélicos. Si bien es cierto que, en muchos casos la idea de Inteligencia Artificial puede presentarse como un concepto muy remoto, sistemas de aprendizaje automático incluso en sus niveles de desarrollo actual, pueden presentar una amenaza más real que toda esta tecnología desarrollada y potencial. Este artículo busca socializar la información relacionada al potencial actual de los sistemas de aprendizaje automático y analizar en qué medida se encuentran estos avances alineados con las normas del Derecho Internacional Humanitario. A pesar de que el desarrollo de esta tecnología ocurre en mayor escala en ámbitos corporativos, la carrera por militariz...
20
tesis de grado
Publicado 2013
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This thesis is a study of the notion of "facial attractiveness" in the machine_x000D_ learning with the SVM context. To this end, we have used statistical evaluations_x000D_ made to a group of people who rated front face photographs of women qualifying_x000D_ each on a rating scale according to its appeal. The machine learning technique_x000D_ used is Support Vector Machine (SVM). Then the images were trained in SVM on_x000D_ its respective degree of beauty. By using Chi-square test, we compare the_x000D_ distribution of scores of human evaluators with SVM results show that there is no_x000D_ significant difference between the two groups. The results clearly show that facial_x000D_ beauty is a universal concept, which can be learned by a machine. Analyzing the_x000D_ accuracy of the machine in terms of beauty prediction as a function of the training_x000D_ data size indicates that a mach...
