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https://purl.org/pe-repo/ocde/ford#2.02.04
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pre processing » word processing (Expander búsqueda), _ processing (Expander búsqueda), a processing (Expander búsqueda)
1
artículo
Publicado 2018
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Geo-referenced textual data has been the subject of multiple investigations, by providing opportunities to better understand certain phenomena according to the content that is shared, either on-line such as social networks, blogs, and news; or through repositories such as scientific research articles, geo-referenced virtual books, among others. However, the characteristics of this information are studied, analyzed and processed separately, either through its textual components or its geo-spatial components, which offers a separate understanding of the results. In this paper, we propose an integration of textual and geo-spatial components from the pre-processing phase to the visualization stage, As a part of the Document Mapping process based on the phases of the Knowledge Discovery in Databases (KDD). Achieving two main results (1) minimize the problems that arise in the visual phase, su...
2
objeto de conferencia
Publicado 2018
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The present work was achieved thanks to the joint work with my advisor, for her persistence and tenacity at the moment of sharing her teachings with me, to my distinguished teachers who have forged knowledge from the first day of classes, whom with nobility and enthusiasm influenced as an example in me and my colleagues in the master’s degree in computer science; also thanks to CONCYTEC, FONDECYT and Cienciactiva for the support and opportunities provided that made this work possible.
3
artículo
Publicado 1999
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This article demonstrates the feasibility of installing a small processing company Huaral nectars, checking that there is a potential market, recommending the most appropriate technology, and demonstrating their economic and financial viability.
4
artículo
Publicado 1999
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This article demonstrates the feasibility of installing a small processing company Huaral nectars, checking that there is a potential market, recommending the most appropriate technology, and demonstrating their economic and financial viability.
5
tesis doctoral
Publicado 2024
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This dissertation investigates the potential improvement of volcanic eruption understanding and forecasting methods by using advanced data processing techniques to analyze large datasets at three target volcanoes (Piton de la Fournaise (PdlF) (France), Sabancaya, and Ubinas (Peru)). The central objective of this study is to search for possible empirical relationships between the pre-eruptive behavior of the accelerated increase in seismic activity using the Failure Forecast Method (FFM) and velocity variations measured by Coda Wave Interferometry (CWI), since both observations are reported to be independently associated with medium damage. The FFM is a deterministic method used to forecast volcanic eruptions using an empirical relationship of increased and accelerated evolution of an observable (e.g., volcano-seismic event rates). The event rates used with FFM in this study were generate...
6
tesis doctoral
Publicado 2024
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This dissertation investigates the potential improvement of volcanic eruption understanding and forecasting methods by using advanced data processing techniques to analyze large datasets at three target volcanoes (Piton de la Fournaise (PdlF) (France), Sabancaya, and Ubinas (Peru)). The central objective of this study is to search for possible empirical relationships between the pre-eruptive behavior of the accelerated increase in seismic activity using the Failure Forecast Method (FFM) and velocity variations measured by Coda Wave Interferometry (CWI), since both observations are reported to be independently associated with medium damage. The FFM is a deterministic method used to forecast volcanic eruptions using an empirical relationship of increased and accelerated evolution of an observable (e.g., volcano-seismic event rates). The event rates used with FFM in this study were generate...
7
artículo
Publicado 2020
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In this study, an analysis of pre-trial proceedings is made, given the new scenario of programming virtual hearings and the subsequent procedural burden that will arise once the state of emergency is lifted. Moreover, operational aspects are raised for the correct application of this procedural institution and statistical data on its use in specialized courts in different parts of the country are evaluated, in order to reevaluate the advantages of pre-trial proceedings as a tool for procedural simplification that leads to an expeditious, effective and timely resolution.
8
artículo
Today X has become one of the most important socialnetworks for expressing opinions and interests on the web.The large amount of data generated allows automatedsystems to profile users based on gender, nationality andthematic interests. There are difficulties in this process notonly because of the short content, but also because of theambiguity and the use of several languages.The goal of this proposal is to generate a deep learningmodel using BERT that is able to identify demographic andthematic attributes from tweets. Pre-trained models of theBERT and Multilingual BERT type will be used, applied on PAN Author Profiling Task (CLEF 2019) corpora in English and Spanish.The proposed work will deepen the analysis using supervised classification data for gender and nationality classification and topic extraction through unsupervised techniques, such as LDA and BERTopic. These options include...
9
artículo
Publicado 2020
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Magma recharge into a differentiated reservoir is one of the main triggering mechanisms for explosive eruptions. Here we describe the petrology of the eruptive products of the last explosive eruption of Tutupaca volcano (southern Peru) in order to constrain the pre-eruptive physical conditions (P-T-XH2O) of the Tutupaca dacitic reservoir. We demonstrate that prior to the paroxysm, magma in the Tutupaca dacitic reservoir was at low temperature and high viscosity (735 ± 23 °C), with a mineral assemblage of plagioclase, low-Al amphibole, biotite, titanite, and Fe-Ti oxides, located at 8.8 ± 1.6 km depth (233 ± 43 MPa). The phenocrysts of the Tutupaca dacites show frequent disequilibrium textures such as reverse zonation, resorption zones, and overgrowth rims. These disequilibrium textures suggest a heating process induced by the recharge of a hotter magma into the dacitic re...
10
artículo
Publicado 2023
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A dissatisfied customer with a product and/or service is motivated to express a complaint. Classifying complaints manually is a process that represents high costs in human and material resources. Artificial Intelligence (AI) allows the use of various algorithms to perform tasks that can simulate human intelligence, a branch of this is Natural Language Processing (NLP), its objective is that machines have the capacity to understand human language, allowing, for example, to classify and categorize data automatically. This article provides a systematic review of the literature addressing challenges in the classification of complaint texts, such as the lack of class balance, the presence of unlabeled data, and the interpretation of model results. Preprocessing techniques are explored, such as tokenization, stopword removal, and lemmatization, which influence model performance. Additionally, ...
11
artículo
Publicado 2017
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The Vacation Center Huampaní through managing logistics area goods and services required for all user areas, but there are administrative and operational deficiencies of the employees that make up the contracting and procurement processes Vacation Center Huampaní, 2014. The issue is What effect does implementing a capacity building program to enhance job performance of the employees participating in the process of procurements "Vacation Center Huampaní" Year 2014? The specific objectives are: The determination of the level of technical knowledge by applying the survey pretest. The design capacity building program to improve the processes of procurements Huampaní Vacation Center. Implementation of the program to the experimental group according to institutional needs. Program evaluation is then determined by applying the survey Post Test and finally the results obtained from surveys P...
12
artículo
Publicado 2024
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Nowadays, the construction industry has become the main and great engine of the global economic recovery after the effects of covid-19, generating around 10.7 trillion dollars worldwide, and it is residential construction, specifically, the one in charge of driving growth in the short term, thanks to the constant demand for residential spaces. In this sense, various challenges such as new technologies, the complexity of projects, and a growing competitive environment, force the main contractor to subcontract between 80 and 90% of the activities, thus evidencing that subcontracting is an applied and necessary process in every construction project, and making subcontractors the backbone of the procurement strategy. However, one of the main risks of subcontracting is the inadequate selection of the construction subcontractor, which is often based solely on the criteria of selecting the know...
13
artículo
Publicado 2019
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Premature Rupture of Membranes (PROM) is a complication of pregnancy that causes 40% of pre-term birthsand carries 10% of neonatal mortality. This study aimed to implement the nursing process in the care of a 31.6week old pregnant woman, Premature Rupture of Membranes, Twin pregnancy, history of fertilization in vitrioand UTI treatment, in Obstetrics and Gynecology Service Room “B” National Teaching Hospital Child MotherSt. Bartholomew in the period November –December 2011. Data was obtained after the evaluation of MarjoryGordon´s functional patterns, later diagnosed by The NANDA Taxonomy II International 2012 – 2014, a modelfounded by Virginia Herdenson. The following nursing diagnoses for standardized care plan are as follows: Riskof impaired fetal maternal Dyad, Ineffective peripheral tissue perfusion, Risk of infection, Acute pain, Anxiety,Impaired physical mobility, sleep p...
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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).
15
artículo
Publicado 2022
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so, machine learning techniques are being developed to improve performance and maintenance prediction. Increasing our knowledge of the relationship between humans and algorithms, Because data is so valuable, improving strategies for intelligently having to manage the now-ubiquitous content infrastructures is a necessary part of the process toward completely autonomous agents. Numerous researchers recently developed numerous computer-aided diagnostic algorithms employing various supervised learning approaches. Early identification of sickness may help to reduce the number of people who die as a result of these illnesses. Using machine learning techniques, this research creates an efficient automated illness diagnostic algorithm. We chose three key disorders in this paper: coronavirus, cardiovascular diseases, and diabetes. The data are inputted into a mobile application in the suggested m...
16
objeto de conferencia
Publicado 2020
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RESUMEN El presente artículo corresponde al rediseño de procesos para la gestión de recursos humanos de la empresa Grupo Mundo Soluciones Empresariales. La investigación ha seguido un enfoque Pre-Experimental, donde se utilizaron técnicas de recolección de datos como análisis documental y de archivos, entrevista y observación directa y sus respectivos instrumentos como son la ficha de análisis documental, guía de entrevista y ficha de observación de procesos. Para el rediseño, se aplicó la metodología BPM, que consta de las siguientes fases: descubrimiento y simplificación, captura y documentación, publicación y animación, diseño y mejora, generación y ejecución y monitoreo y gestión. Así, se obtuvieron como resultados un ahorro de 77% en el proceso de Reclutamiento y Selección, y 39% en la Gestión de Incorporación, así como la reducción de tiempos por proceso...
17
artículo
Publicado 2013
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A Virtual Lab to experiment on controlled fusion of two digital images has been developed. The resulting image has user pre-defined percentages of each contributing image. With the aim on improving the quality of the resulting image in the fusion, the Virtual Lab has been enabled with the option of selecting a color to be ignored during the fusion process, in this way this color is not fussioned. Successful experiments have been executed fusing three images using the same algorithm.
18
artículo
Publicado 2013
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A Virtual Lab to experiment on controlled fusion of two digital images has been developed. The resulting image has user pre-defined percentages of each contributing image. With the aim on improving the quality of the resulting image in the fusion, the Virtual Lab has been enabled with the option of selecting a color to be ignored during the fusion process, in this way this color is not fussioned. Successful experiments have been executed fusing three images using the same algorithm.
19
artículo
Publicado 2019
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The purpose of the research was to prove that the application of the self-instructional manual improves the pre-professional teaching performance of the students of the eighth cycle of the professional school of mathematics and physics, UNHEVAL - 2017; For this, an explanatory research and quasi-experimental design was formulated; the study population has been 84 students and the sample used is non-random, with experimental group = 12 and control group = 14; the instrument used was a valued evaluation test, with the name of initial and final test, with ten indicators each test, whose valuation is between 1 and 4 for each indicator, which produced the scale of [10 - 40]; For the processing of the data, descriptive statistics and inferential statistics were used, obtaining the following result and conclusion: in the dimension Planning pedagogical work, the test T value = 2.23; in the Manag...
20
artículo
Publicado 2023
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Steam explosion as a pre-treatment for lignocellulosic fibers is an eco-friendly technology for obtaining cellulose microfibres. This study used a sustainable process design to produce Stipa Ichu (endemic fiber) cellulose microfibres on a pilot scale. Pseudolignin models and experimental data from recent studies were used to validate and simulate the steam explosion in a range of 150 to 220°C using acetic acid concentrations of 0.1 to 0.3 g/g of fiber. A peak yield of 92% was obtained for lignin recovery. The proposed process, which would produce 5 tons of dried cellulose microfibres per year, is economically feasible with an ROI of 48% and a PBP of 2.45 years. Additionally, the process is environmentally viable, with an E-factor of 9.42.