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Subjects / keywords: ACADEMIC PRESS; 003.52 P316p

El eje central de la XII edición del congreso (COMPDES2019) ha sido nuevamente el Internet de las Cosas (Internet of Things). Este eje se tomado como orientación general de los trabajos con las siguientes líneas temá...

The P300 component of event-related potentials (ERPs) is widely used in the implementation of brain computer interfaces (BCI). In this context, one of the main issues to solve is the binary classification problem that en...

Contrast enhancement is a very important step in image processing, pattern recognition and computer vision .Histogram Equalization (HE) is widely used for contrast Enhancement . This paper discussed five techniques of co...

Abstract Hydraulic systems have the characteristics of strong fault concealment, powerful nonlinear time-varying signals, and a complex vibration transmission mechanism; hence, diagnosis of these systems is a challenge. ...

This chapter introduces the most relevant concepts about wine field, including terroir, manufacturing process and the Wine Protected Designation as a way ofauthentication. Contents of molecular organic acids, volatile sp...

"Identificar la actividad cerebral epiléptica utilizando señales de electroencefalografía (EEG) en tiempo real es un problema difícil. Los métodos modernos de detección basados en técnicas avanzadas de aprendizaje...

One of the most evident costs in cow farming is the identification of the animals. Classic identification processes are labour-intensive, prone to human errors and invasive for the animal. An automated alternative is an ...

Crops residues are an important source of maintenance of Fusarium graminearum inoculum in the soybean agroecosystem. Given that these populations can interact in the substrate through mechanisms of mycelial recognition a...

In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the self-attention mechanism. Unlike previous works that capture contexts by multi-scale features fusion, we propos...

Subjects / keywords: Closed captioning; Computer science; Discriminative model; Artificial intelligence; Convolutional neural network; Generalization; Context (archaeology); Class (philosophy); Pattern recognition (psychology); Image (mathem...

Incomplete data sampling, bias, and like properties of distribution datasets that potentially introduce uncertainty in biogeographical analyses and blur biogeographical patterns; therefore, it is important to understand ...

In this paper, I use some artificial intelligence techniques algorithms, which are the algorithms of the artificial immune system (positive selection algorithm and negative selection algorithm). Through these two algorit...

Abstract This Perspectives in Veterinary Medicine article seeks to define, describe putative causes, and discuss key diagnostic tests for primary and secondary bronchiolar disorders to propose a classification scheme in ...