Presentation special issue
Guardado en:
| Autores: | , , |
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| Formato: | artículo original |
| Fecha de Publicación: | 2022 |
| Descripción: | 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. |
| País: | RepositorioTEC |
| Institución: | Instituto Tecnológico de Costa Rica |
| Repositorio: | RepositorioTEC |
| Lenguaje: | Español |
| OAI Identifier: | oai:repositoriotec.tec.ac.cr:2238/14141 |
| Acceso en línea: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/6431 https://hdl.handle.net/2238/14141 |
| Palabra clave: | . |