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Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data
(Soft Computing, 2017-03)
This paper describes a new proposal for interactive television which is an answer to a continuous change in the traditional television as consequence of the inclusion and evolution of the digital social networks, the ...
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 ...
Statistical analysis of a multi-objective optimization algorithm based on a model of particles with vorticity behavior
(Soft Computing, 2016-09)
In this paper, a strategy for multi-objective optimization based upon the behavior of a particle swarm with rotational and linear motion is presented. The strategy for multi-objective optimization is based upon the emulation ...
Minimal green energy consumption and workload management for data centers on smart city platforms
(Sustainability, 2020-04)
Presently, energy is considered a significant resource that grows scarce with high demand and population in the global market. Therefore, a survey suggested that renewable energy sources are required to avoid scarcity. ...
Energy efficiency maximization algorithm for underwater Mobile sensor networks
(Earth science informatics, 2021)
Modern Underwater Wireless Sensor Networks (UWSN) would provide big administrations with numerous underwater surveying and technical applications, working in the unstable submerged deep-water conditions. A huge obstacle ...
Inadequate dataset learning for major depressive disorder MRI semantic classification
(IET Image Processing, 2022)
Predicting patients with major depression (MDD) is currently a difficult task. Magnetic resonance imaging (MRI) data analysis may provide insight into individual patient responses, allowing for more customized treatment ...
Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines
(Applied Sciences, 2020-07)
In the era of Internet of things (IoT), network Connection of an enormous number of agriculture machines and service centers is an expectation. However, it will be with a generation of massive volume of data, thus overwhelming ...
Simplified inverse filter tracked affective acoustic signals classification incorporating deep convolutional neural networks
(Applied Soft Computing, 2020-12)
Facial expressions, verbal, behavioral, such as limb movements, and physiological features are vital ways for affective human interactions. Researchers have given machines the ability to recognize affective communication ...
Feature based video stabilization based on boosted HAAR Cascade and representative point matching algorithm
(Image and Vision Computing, 2020-09)
The success of handheld video capturing devices has further fueled the need of improved video stabilization. The videos often contain many foreground facial features like eyes, nose etc. These foreground features can be ...
Advanced Sensors Technology in Education
(Sensors, 2019)
The topic presented will show how different kinds of sensors can help to improve our skills in learning environments. When we open the mind and let it take the control to be creative, we can think how a martial art would ...