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Tópicos Sugeridos dentro de su búsqueda.
1
artículo
Publicado 2024
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The objective of this study is to predict the quantity of ANFO required for bench blasting in an open pit mine in Peru, through the application of advanced machine learning techniques. Six models were selected: Artificial Neural Networks (ANNMLP), Random Forests (RF), Support Vector Machines for Regression (SVR), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbors (KNN), and Bayesian Regression (BR), due to their ability to handle complex multidimensional data and their success in similar applications, such as rock fragmentation prediction. The methodology included the collection of data from 208 drill holes, which were divided into training (70%), validation (15%), and testing (15%) sets. The models were evaluated using RMSE, MSE, MAE, and R2. The KNN model showed the best performance, with an R2 of 0.84, RMSE of 2.37, MSE of 5.60, and MAE of 1.35, standing out in predictive accura...
2
artículo
Publicado 2020
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The present research aims to evaluate the project-based learning of native species for the phytoremediation of drained waters in the Tangana mine and the bioaccumulation capacity of lead and cadmium through the species putacca (Family apiaceae) and cattail (Scirpus californicus), in the District of Huachocolpa of the Province and Department of Huancavelica (Peru). Applying the instrumental analytical methodology, satisfactory results were obtained for the environment, since both metals (cadmium and lead) were absorbed by these species. In this context, the following conclusions were obtained: a) The concentration of cadmium (Cd) and lead (Pb) in drained waters of the Tangana mine were 0.2661 mg Cd / l and 25.7220 mg Pb / l, the quantification of cadmium (Cd) and lead (Pb) concentration in the cattail species was 0.0007 mg Cd / Kg and 0.0037mg Pb / Kg, the quantification of the concentrat...
3
artículo
Publicado 2020
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The present research aims to evaluate the project-based learning of native species for the phytoremediation of drained waters in the Tangana mine and the bioaccumulation capacity of lead and cadmium through the species putacca (Family apiaceae) and cattail (Scirpus californicus), in the District of Huachocolpa of the Province and Department of Huancavelica (Peru). Applying the instrumental analytical methodology, satisfactory results were obtained for the environment, since both metals (cadmium and lead) were absorbed by these species. In this context, the following conclusions were obtained: a) The concentration of cadmium (Cd) and lead (Pb) in drained waters of the Tangana mine were 0.2661 mg Cd / l and 25.7220 mg Pb / l, the quantification of cadmium (Cd) and lead (Pb) concentration in the cattail species was 0.0007 mg Cd / Kg and 0.0037mg Pb / Kg, the quantification of the concentrat...
4
artículo
Publicado 2023
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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 process of type 2 diabetes mellitus and to offer a tool that facilitates the diagnosis of the dis-ease quickly and easily. Different machine learning models were designed and compared, being random forest was the algorithm that generated the model with the best performance (90.43% accuracy), which was integrated into a web platform, working with the PIMA dataset, which was validated by specialists from the Peruvian League for the Fight against Diabetes organization. The result was a decrease of (A) 88.28% in the information collection time, (B) 99.99% in the diagnosis time, (C) 44.42% in the diagnosis cost, and (D) 100% in the level of difficulty, concluding that the appl...
5
artículo
Publicado 2023
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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 process of type 2 diabetes mellitus and to offer a tool that facilitates the diagnosis of the dis-ease quickly and easily. Different machine learning models were designed and compared, being random forest was the algorithm that generated the model with the best performance (90.43% accuracy), which was integrated into a web platform, working with the PIMA dataset, which was validated by specialists from the Peruvian League for the Fight against Diabetes organization. The result was a decrease of (A) 88.28% in the information collection time, (B) 99.99% in the diagnosis time, (C) 44.42% in the diagnosis cost, and (D) 100% in the level of difficulty, concluding that the appl...
6
artículo
Publicado 2024
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In this study, sentiment analysis was developed and applied to technological products in the Twitter/X social network, also, the opinions expressed by customers were determined and finally the most suitable predictive model derived from Machine Learning was identified. For this purpose, 7102 tweets related to Apple and Samsung products were collected, using the methodology proposed by Erl, Khattak and Buhler which facilitated the implementation of its critical phases. The results obtained from sentiment analysis were evaluated using standard metrics such as Accuracy, Precision, Recall and F1-Score, applied to four machine learning models: K-Nearest Neighbors (KNN), Logistic Regression (LR), Random Forest (RF) and CatBoost Classifier (CC). Of these, the CatBoost Classifier proved to be the most effective, achieving 89% in Accuracy, 90% in Precision, 89% in Recall and 88% in F1-Score. It w...
7
capítulo de libro
Publicado 2019
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This work proposes a semi-automated analysis and modeling package for Machine Learning related problems. The library goal is to reduce the steps involved in a traditional data science roadmap. To do so, Sparkmach takes advantage of Machine Learning techniques to build base models for both classification and regression problems. These models include exploratory data analysis, data preprocessing, feature engineering and modeling. The project has its basis in Pymach, a similar library that faces those steps for small and medium-sized datasets (about ten millions of rows and a few columns). Sparkmach central labor is to scale Pymach to overcome big datasets by using Apache Spark distributed computing, a distributed engine for large-scale data processing, that tackle several data science related problems in a cluster environment. Despite the software nature, Sparkmach can be of use for local ...
8
artículo
Publicado 2025
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Educational institutions collect and manage information about their students in order to support decision-making aimed at improving academic performance and the overall achievement of their community. The objective of this research was to identify findings on academic performance considering sociocultural factors throughout secondary education. The study followed the KDD process (Knowledge Discovery in Databases) and applied machine learning algorithms for data mining. As a result, two main findings were identified: first, the family environment and the level of student responsibility directly influenced academic performance; second, five student profiles were detected based on these factors: (1) favorable family environment and high level of responsibility, associated with outstanding performance; (2) favorable environment and low responsibility, with limited performance; (3) unfavorabl...
9
objeto de conferencia
The present work was supported by grant 234-2015-FONDECYT (Master Program) from Cienciactiva of the National Council for Science, Technology and Technological Innovation (CONCYTEC-PERU) and the Office Research of Universidad Nacional de Ingeniería (VRI - UNI).
10
tesis de grado
Publicado 2021
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El machine learning o aprendizaje automático, es una herramienta que permite la clasificación y predicción de los entornos organizacionales. Se relaciona de forma directa con los componentes de patrones de negocios, conocimiento, toma de decisiones y minería de datos. Con la finalidad de estudiar estas propuestas se utilizó como metodología de trabajo una revisión de la literatura la cual admitió comprobar el objetivo de esta investigación, analizar en qué medida es posible el uso de herramientas de “machine learning” en la identificación de patrones en la gestión de empresas. Se encuentran entre sus resultados señalamientos a favor de las metodologías de aprendizaje automático supervisado, mientras que otros autores reconocieron un enfoque totalmente divergente. Creando una propuesta orientada al sector empresarial y a las organizaciones, examinando su utilidad o desv...
11
artículo
Publicado 2023
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It analyzes the editorials of the Peruvian newspaper La República published from May 5 to June 6, 2021, dates in which the political campaigns for the second round of elections for the presidency of Peru took place. The aim is to discover relevant information to understand the use of the terminologies communicated through the written language in that newspaper. Using the text mining technique and machine learning algorithms for the analysis of unstructured data, a dendrogram and clusters were created to validate and estimate the groupings of the most frequent terms. In relation to each candidate, the regression analysis shows a differentiated association in the use of words. These words form a network that expresses the political conjuncture of the period under study and is reinforced by the construction of a cloud of words with the highest frequency of use. It is concluded that the med...
12
tesis de maestría
El presente documento desarrolla el Plan Estratégico Aplicado para Reliant Mining and Construction País Zambia, esta es una empresa dedicada a brindar servicios mineros subterráneos con más de 18 años de experiencia en sector industrial minero subterráneo en Zambia, Congo e India. En el país de Zambia, Reliant opera desde el año 2002 consiguiendo significantes logros operativos en términos de expansión de operaciones. Actualmente se enfrenta a una necesidad de expansión, pero debido a la competencia de empresas que consideradas compañías Top Worl Class en el mercado minero de Zambia, la expansión de operaciones se hace difícil. Por lo tanto, es necesario realizar exhaustivos análisis bajo una metodología para lograr direccionar la empresa al crecimiento planteado. El planeamiento estratégico bajo una visión al 2028 de la empresa Reliant Mining and Construcción en Zamb...
13
tesis de maestría
El presente documento desarrolla el Plan Estratégico Aplicado para Reliant Mining and Construction País Zambia, esta es una empresa dedicada a brindar servicios mineros subterráneos con más de 18 años de experiencia en sector industrial minero subterráneo en Zambia, Congo e India. En el país de Zambia, Reliant opera desde el año 2002 consiguiendo significantes logros operativos en términos de expansión de operaciones. Actualmente se enfrenta a una necesidad de expansión, pero debido a la competencia de empresas que consideradas compañías Top Worl Class en el mercado minero de Zambia, la expansión de operaciones se hace difícil. Por lo tanto, es necesario realizar exhaustivos análisis bajo una metodología para lograr direccionar la empresa al crecimiento planteado. El planeamiento estratégico bajo una visión al 2028 de la empresa Reliant Mining and Construcción en Zamb...
14
artículo
Publicado 2023
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ChatGPT adds to the list of artificial intelligence-based systems designed to perform specific tasks and answer questions by interacting with users (Apple's Siri, Amazon's Alexa, Google's Assistant and Bard, Microsoft's Cortana, IBM's Watson, Bixby from Samsung, among others). ChatGPT works using OpenAI's GPT (Generative Pretrained Transformer) language model and is capable of learning from users' preferences and behavior patterns to customize its response. ChatGPT has the potential to be applied in different fields, including education, journalism, scientific writing, communication, cell biology, and biotechnology, where there is already evidence. The aim of this work was to analyze the possible applications of ChatGPT in the agricultural and livestock industry. First, a scientometric analysis was performed with VosViewer and Bibliometrix (Bliblioshiny). 3 clusters were identified: (a) ...
15
artículo
Publicado 2024
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Author contribution: All authors made an equal contribution to the development and planning of the study. Conflict of Interest: The authors have no potential conflicts of interest, or such divergences linked with this research study. Data Availability Statement: Data are available from the authors upon request.
16
artículo
Publicado 2025
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This study examines how Online Program Management (OPM) firms articulate their strategic identities through mission statements, assessing the extent to which these communicated values align with those of higher education institutions (HEIs). Drawing on a corpus of 106 OPM mission statements from 15 countries, we apply Latent Dirichlet Allocation (LDA) to identify dominant themes and recurrent patterns. The analysis reveals five thematic clusters: educational transformation, learner empowerment, online learning platforms, specialized professional education, and accessible global education. While these themes frequently reference values associated with HEIs they omit critical operational details related to costs, governance, and quality assurance. Such omissions suggest a performative alignment, in which OPMs adopt the rhetoric of academic values without fully committing to them in practic...
17
objeto de conferencia
Indexado en Scopus
18
artículo
Publicado 2025
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Both the environment and society are fundamentalaspects for businesses. Companies should consider these aspects while addressing challenges like transparency, accountability, sustainability and governance. This study aims at assessing the impact of information systems on Socioenvironmental Auditing Practices (SAP). For that purpose,it assumes that the impact of business activities on society and the environment can be audited, and the efficiency of such auditing practices depends on information systems. Datasets were mined from Scopus and Web of Science (WoS) using text mining methodology and were analyzed using the following tools: Correspondence Analysis (CA) to identify factors, challenges and technologies; Exploratory Factor Analysis (EFA) to identifyunderlying factor structures; Confirmatory Factor Analysis (CFA) to evaluate cause-and-effect relationships among factors, technologies...
19
artículo
Publicado 2025
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Both the environment and society are fundamentalaspects for businesses. Companies should consider these aspects while addressing challenges like transparency, accountability, sustainability and governance. This study aims at assessing the impact of information systems on Socioenvironmental Auditing Practices (SAP). For that purpose,it assumes that the impact of business activities on society and the environment can be audited, and the efficiency of such auditing practices depends on information systems. Datasets were mined from Scopus and Web of Science (WoS) using text mining methodology and were analyzed using the following tools: Correspondence Analysis (CA) to identify factors, challenges and technologies; Exploratory Factor Analysis (EFA) to identifyunderlying factor structures; Confirmatory Factor Analysis (CFA) to evaluate cause-and-effect relationships among factors, technologies...
20
artículo
Publicado 2011
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Student academic performance at universities is crucial for education management systems. Many actions and decisions are made based on it, specifically the enrollment process. During enrollment, students have to decide which courses to sign up for. This research presents the rationale behind the design of a recommender system to support the enrollment process using the students’ academic performance record. To build this system, the CRISP-DM methodology was applied to data from students of the Computer Science Department at University of Lima, Perú. One of the main contributions of this work is the use of two synthetic attributes to improve the relevance of the recommendations made. The first attribute estimates the inherent difficulty of a given course. The second attribute, named potential, is a measure of the competence of a student for a given course based on the grades obtained i...
