This paper presents a method based on hidden Markov models in combination with
Gaussian mixture models for classification of respiratory sounds into normal, wheeze and …

Among various feature selection methods proposed in literature, meta-heuristic algorithms
as a wrapper-based method are widely used in feature subset selection problems. The …

According to researchers, information generated from social media provides useful data for
understanding the behaviour of various types of financial assets, using the sentiment …

Deep learning becomes a more popular, widespread, and common tool in almost any task
that requires information extraction from a large dataset. Hence, the data transmission speed …

We report a smart irrigation system that allows selective irrigation of localized dry spots in an
agricultural field. The proposed irrigation system uses a quadcopter drone equipped with a …

Investors nowadays post heterogeneous sentiments on social media about financial assets
based on their trading preferences. However, existing works typically analyze the sentiment …

As more and more social robots are being used for collaborative activities with humans, it is
crucial to investigate mechanisms to facilitate trust in the human-robot interaction. One such …

This article describes the prospects of using artificial intelligence technologies, neural
networks and computer systems for linguistic purposes. Systems and tools capable of …

Der Beitrag untersucht zunächst einige Voraussetzungen für einen gelingenden Dialog von
Bildungsphilosophie, Bildungs-und Erziehungswissenschaft sowie Philosophiedidaktik …

Desde hace algún tiempo la tecnología está generando contenidos susceptibles de ser
catalogados como obras—música, teatro, cine, literatura, pintura, etc.—protegibles por la …