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Multi-class particle swarm model selection for automatic image annotation
(Elsevier Ltd., 2012)
Automatic classification of volcano seismic signatures
(American Geophysical Union, 2018-12)
The prediction of volcanic eruptions and the evaluation of associated risks remain a timely and unresolved issue. This paper presents a method to automatically classify seismic events linked to volcanic activity. As increased ...
Live Big Data Logs Analysis
(CIMAT, 2015)
Automatic classification of fish germ cells through optimum-path forest
(2011-12-26)
The spermatogenesis is crucial to the species reproduction, and its monitoring may shed light over some important information of such process. Thus, the germ cells quantification can provide useful tools to improve the ...
The state of the art of weld seam radiographic testing: part 1, image processing
(AMER SOC NONDESTRUCTIVE TEST, 2007)
Over the past 30 years, a large amount of research has been conducted to develop an automatic (or semiautomatic) system for the radiographic detection and classification of discontinuities in continuous welds. There are ...
Deep learning architecture for automatic modulation classification in time-varying fading and impulsive noise channels
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO, 2021-12-10)
The automatic modulation classification (AMC) allows identifying the kind of modulation of the received signal, being a key part of the development of cognitive radio devices that adapt the type of modulation to the ...