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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. ...
Study of Factors Affecting the Choice Modal of Transportation in an Urban Environment Using Analytic Hierarchy Process
(Communications in Computer and Information Science, 2016)
In modern economies it is essential a proper system of transport that enables population mobility and consequent accessibility to services. However, its current configuration is causing strong negative externalities and ...
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 ...
Managing situations with high number of elements in group decision making
(Lecture Notes in Computer Science, 2020)
Group Decision Making environments have completely changed. The number of information that the experts have available and that, therefore, they can use to discuss about is constantly increasing. There is a need of new Group ...
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 ...
A proposal for sentiment analysis on twitter for tourism-based applications
(Frontiers in Artificial Intelligence and Applications, 2018)
People rely on other people’s opinions to make decisions, especially if they belong to their circle of trust. In addition, there are lots of websites of recognized prestige that provide people opinions about different ...
Social4all: Collaborative platform for improving Web accessibility
(ACM International Conference Proceeding Series Interaccion 2016, 2016)
This paper introduces the platform Social4all. The main idea of this research is offering a new approach that allows solving a significant set of Web accessibility problems. So far, website developers have been the only ...