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Interpretability in the Field of Plant Disease Detection: A Review

Abstract: The early detection of diseases in plants through artificial intelligence techniques has been a very important technological advance for agriculture since, through machine learning and optimization algorithms, it has been possible to increase the yield of var

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Using Decision Trees to Predict Critical Reading Performance

Abstract: In Colombia, all undergraduate students, regardless of the professional training program they take, must complete the general competencies sections of the Saber Pro exam that include Critical Reading, Quantitative Reasoning, Citizen Competencies, Written Comm

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Analysis of Satellite Images Using Deep Learning Techniques and Remotely Piloted Aircraft for a Detailed Description of Tertiary Roads

Abstract: This document presents the results of a proof of concept for describing with more detail the social and complementary infrastructure around the tertiary roads of the Taminango region in the department of Nariño, Colombia. A dataset with samples of free satell

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Application of Spatial Data Science on Results of the Saber 5 Test

Abstract: The purpose of the Saber tests is to improve the quality of education in Colombia through periodic evaluations of the competencies development in basic and secondary education students. Although different data mining studies of the Saber tests’ results have b

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Conceptions and Perceptions of Software Industry Professionals on Team Productivity in Agile Software Development: A Comparative Study

Abstract: Agile software development (ASD) has generated different benefits in organizations and in the Software Industry, mainly in improving productivity. For ASD teams this indicator plays a fundamental role since it helps determine their performance. However, evalu

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Business Intelligence for the Programs of the Secretaries of Health, Education and Planning in a Territorial Entity

Abstract: Territorial entities in Colombia are bound by the law to register and report to different instances the control information of the government programs they administer. However, so much information is distributed on various state and owned platforms that the r

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Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images

Abstract: Due to the growing energy demand and the eminent global warming, there is special interest in the prediction of irradiance based on the reflectance obtained from satellites such as NASA Landsat, since it allows to know where it is more efficient to place phot

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