Titlebook: Doctoral Symposium on Information and Communication Technologies; Second Doctoral Symp Karina Abad,Santiago Berrezueta Conference proceedin

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https://doi.org/10.1007/978-3-031-18347-8artificial intelligence; computer networks; computer programming; computer security; computer vision; cor

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,Evaluating University Students’ Information Literacy: An Approach from Task-Based Test Execution,anabí - ULEAM are presented- through an instrument that measures the informational literacy shown by the execution of tasks at predetermined time intervals. It is a study with a quantitative approach and a descriptive scope that uses the survey as a data collection technique from a stratified random

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MELD

Minatory

,Comparative Analysis of the Performance of Machine Learning Techniques Applied to Real and Synthetia becomes a complex and challenging task. For many organizations sharing information, it is often a risk in terms of security and privacy, especially if the data is sensitive. In response to this problem, synthetic data emerges as a valid alternative, generated by different methods and techniques fr

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Optimization Models Used in Water Allocation Problems in River Basin with Reservoirs: A Systematic er resources, especially since water is a vital resource that brings economic, social and environmental benefits. The main objective of this article is to review the published literature on optimization models and understand what methods their authors used to solve optimization problems in water all

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Multimodal Deep Learning for Crop Yield Prediction, that can predict the crop yield in Ecuadorian corn farms. The model takes multispectral images and field sensor data (humidity, temperature, or soil status) to obtain the yield of a crop. The use of multimodal data is aimed to extract hidden patterns in the status of crops and in this way obtain be