Presentation special issue

Ramírez Bogantes, Melvin; Vásquez Vásquez, Jose Luis; Travieso González, Carlos M.

Presentación número especial

dc.creator	Ramírez Bogantes, Melvin
dc.creator	Vásquez Vásquez, Jose Luis
dc.creator	Travieso González, Carlos M.
dc.date	2022-11-16
dc.date.accessioned	2023-02-16T16:05:35Z
dc.date.available	2023-02-16T16:05:35Z
dc.identifier	https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/6431
dc.identifier	10.18845/tm.v35i8.6431
dc.identifier.uri	https://hdl.handle.net/2238/14141
dc.description	Many specifics of the bioinspired intelligence are not well addressed by the conventional models currently used in the field of artificial intelligence. The purpose of the work conference is to present and discuss novel ideas, work and results related to alternative techniques for bioinspired approaches, which depart from mainstream procedures. Nowadays, the studies based on complex system is opened new doors in research field and, to improve the quality and the results of diverse applications. The bioinspired intelligence is done easy this task and in areas like, biodiversity conservation, biomedicine, security applications, etc. For this edition, the bioinspired intelligent have been applied in different areas, as the biomedicine, the speech and audio, the microbiology and the use of machine learning for different real applications. In the area of biomedicine, six works will be presented. The first paper presents a combined approach with EP psychological assessments and EEG functional connectivity. The next one proposes an automatic concept-level neural network method to distilling genuine sentiment in patients’ notes with Parkinson’s Disease as medical polar facts into true positives and true negatives. The third document shows an approach toward lung cancer histological tissue images segmentation based on colour. The fourth work describes a Mass Ventilation System (MVS) which serves as a medical ventilator system. It can be used to ventilate large number of COVID-19 patients in parallel (5 – 50+) with personalized respiratory parameters. In other study, deep learning models can be trained with multiple chest x-ray images belonging to different categories to different health conditions i.e. healthy, COVID-19 positive, pneumonia, tuberculosis, etc. and finally, the last work proposes a one-dimensional Convolutional Neural network (CNN) for the automatic detection of epilepsy seizures.	en-US
dc.description	Falta español	es-ES
dc.format	application/pdf
dc.language	spa
dc.publisher	Editorial Tecnológica de Costa Rica (entidad editora)	es-ES
dc.relation	https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/6431/6246
dc.rights	https://creativecommons.org/licenses/by-nc-nd/4.0	es-ES
dc.source	Tecnología en marcha Journal; 2022: Vol. 35 special issue, October. International Work Conference on Bioinspired Intelligence ; Pág. 3-4	en-US
dc.source	Revista Tecnología en Marcha; 2022: Vol. 35 special issue, October. International Work Conference on Bioinspired Intelligence ; Pág. 3-4	es-ES
dc.source	2215-3241
dc.source	0379-3982
dc.subject	.	es-ES
dc.title	Presentation special issue	en-US
dc.title	Presentación número especial	es-ES
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion

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