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Supporting academic decision making at higher educational institutions using machine learning-based algorithms
(Soft Computing, 2018)
Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables ...
Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification
(Informática, 2018)
Non-programmed decision-making is an activity that requires a number of methods to try to capture the rational behaviour of an aspirant in situations of uncertainty. Thus, there is a varied list of attributes, methods, and ...
A clustering WSN routing protocol based on k-d tree algorithm
(Sensors, 2018-09)
Clustering in wireless sensor networks has been widely discussed in the literature as a strategy to reduce power consumption. However, aspects such as cluster formation and cluster head (CH) node assignment strategies have ...
Residue properties for the arithmetical estimation of the image quantization table
(Applied Soft Computing, 2018-06)
Ttaditionally, a statistical approach has been used to detect the JPEG quantization table used to compressa bitmap. This approach has the disadvantage that at times false solutions are found. These false solutions may have ...
Decentralized online simultaneous localization and mapping for multi-agent systems
(Sensors, 2018-08)
Planning tasks performed by a robotic agent require previous access to a map of the environment and the position where the agent is located. This creates a problem when the agent is placed in a new environment. To solve ...
Metamodel to support decision-making from open government data
(Journal of Ambient Intelligence and Humanized Computing, 2018-06)
The use of public open data is an opportunity for citizens and businesses to create products that contribute to decision-making, monitor and control public institutions as well as to improve the quality of life. Open data ...
Hyperparameter Optimization for Image Recognition over an AR-Sandbox Based on Convolutional Neural Networks Applying a Previous Phase of Segmentation by Color-Space
(Sysmmetry. Basel, 2018-12)
Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learning through convolutional neural networks (CNN) provide an environment that is potentially applicable for motor rehabilitation ...
A recommender system based on implicit feedback for selective dissemination of ebooks
(Information Sciences, 2018-10)
In this study, we describe a recommendation system for electronic books. The approach is based on implicit feedback derived from user's interaction with electronic content. User's behavior is tracked through several ...
Analysis of physico-chemical variables and their influence on water quality of the Bogota River using data mining
(International Journal of High Performance Systems Architecture, 2018)
Variation of the flow rate and the concentration of different elements within a flow of water in a river must be important factors for the discovery of patterns of behaviour and predictive in terms of space and time models. ...
A personal knowledge management metamodel based on semantic analysis and social information
(Soft Computing, 2018-03)
This article describes the development of a functional architecture for personal knowledge management (PKM), defined from the lessons-learnt concept registered in a mass-use social network analyzed with an algorithm of ...