Browsing by Author "Gualán Saavedra, Ronald Marcelo"

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A ranking-based approach for supporting the initial selection of primary studies in a Systematic Literature Review
(Institute of Electrical and Electronics Engineers Inc., 2019) Freire Zurita, Renan Gonzalo; González Toral, Hernán Santiago; Saquicela Galarza, Víctor Hugo; Gualán Saavedra, Ronald Marcelo
Traditionally most of the steps involved in a Systematic Literature Review (SLR) process are manually executed, causing inconvenience of time and effort, given the massive amount of primary studies available online. This has motivated a lot of research focused on automating the process. Current state-of-the-art methods combine active learning methods and manual selection of primary studies from a smaller set so they can maximize the finding of relevant papers while at the same time minimizing the number of manually reviewed papers. In this work, we propose a novel strategy to further improve these methods whose early success heavily depends on an effective selection of initial papers to be read by researchers using a PCAbased method which combines different document representation and similarity metric approaches to cluster and rank the content within the corpus related to an enriched representation of research questions within the SLR protocol. Validation was carried out over four publicly available data sets corresponding to SLR studies from the Software Engineering domain. The proposed model proved to be more efficient than a BM25 baseline model as a mechanism to select the initial set of relevant primary studies within the top 100 rank, which makes it a promising method to bootstrap an active learning cycle.
Aplicación web para la gestión de microcréditos
(2012) Gualán Saavedra, Ronald Marcelo; Montúfar Cevallos, Diego Fabián
Downscaling precipitation and temperature in the Andes: applied methods and performance—a systematic review protocol
(2023) Nuñez Mejía, Santiago Xavier; Córdova Mora, Mario Andrés; Gualán Saavedra, Ronald Marcelo; Crespo Sánchez, Patricio Javier
Background: Global warming and climate change are threats to the world. Warmer temperatures and changes in precipitation patterns alter water availability and increase the occurrence of extreme weather events. South America and the Andes are vulnerable regions to climate change due to inequity and the uneven distribution of resources. Climate change evaluation often relies on the use of general circulation models (GCMs). However, the spatial resolution is too coarse and does not provide a realistic climate representation at a local level. This is of particular importance in mountain areas such as the Andes range, where the heterogeneous topography requires a finer spatial resolution to represent the local physical processes. To this end, statistical and/or dynamical downscaling methods are required. Several approaches and applications of downscaling procedures have been carried out in the countries of this region, with different purposes and performances. However, the main objective is to improve the representation of meteorological variables such as precipitation and temperature. A systematic review of these downscaling applications will identify the performance of the methods applied in the Andes region for the downscaling of precipitation and temperature. In addition, the meta-analysis could detect factors influencing the performance. The overall goal is to highlight promising methods in terms of fitness for use and identify knowledge gaps in the region. Methods: The review will search and examine published and grey literature on downscaling applications of temperature and precipitation in the Andes region. Predetermined criteria for eligibility will allow the screening of the evidence. Then, the method used in each application will be coded and mapped according to the country, purpose, variable, and type of downscaling. At the same time, quantitative and qualitative data will be extracted. The performance metrics are particularly interesting for this review. A meta-analysis will be conducted for those studies with comparable metrics. A narrative synthesis, maps and heatmaps will show the results. Tables, funnel plots, and meta-regressions will present the meta-analysis. Throughout the review, a critical appraisal step will categorize the validity of the evidence.
Simplificación del proceso complejo de reducción de escala de los modelos climáticos globales por medio de la aplicación Web SDW
(2014) Campozano Parra, Lenin Vladimir; Sánchez Cordero, Esteban Remigio; Vázquez Patiño, Angel Oswaldo; Samaniego Alvarado, Esteban Patricio; Gualán Saavedra, Ronald Marcelo