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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 ...
Highly efficient family of iterative methods for solving nonlinear models
(Journal of Computational and Applied Mathematics, 2019-01-15)
In this study, we present a new highly efficient sixth-order family of iterative methods for solving nonlinear equations along with convergence properties. Further, we extend this family to the multidimensional case ...
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 ...
Usage of machine learning for strategic decision making at Higher Educational Institutions
(IEEE Access, 2019)
Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies, strategies, and actions that the institutions make as a whole. Decision's structures at HEIs are depicted in this paper and ...
A Nondisturbing Service to Automatically Customize Notification Sending Using Implicit-Feedback
(Scientific Programming, 2019)
This paper addresses the problem of automatically customizing the sending of notifications in a nondisturbing way, that is, by using only implicit-feedback. Then, we build a hybrid filter that combines text mining content ...
Analyzing compliance and application of usability guidelines and recommendations by web developers
(Computer Standards & Interfaces, 2019-05)
There are many guidelines and recommendations for improving the user experience in websites. Web developers can follow these recommendations to improve the usability of the website and the user experience. Although guidelines ...
Performance analysis of six meta-heuristic algorithms over automated test suite generation for path coverage-based optimization
(Soft Computing, 2019-10)
There exists a direct need to automate the process of test suite generation to get the most optimal results as testing accounts for more than 40% of total cost. One method to solve this problem is the use of meta-heuristic ...