Search results for "Artificial"
showing 10 items of 7394 documents
Spatial Cognition 2020/1: Book of abstracts : August 2-4, 2021, University of Latvia
2021
Spatial Cognition is concerned with the acquisition, development, representation, organization, and use of knowledge about spatial objects in real, virtual or hybrid environments and processed by human or artificial agents. Spatial Cognition includes research from different fields insofar as they are concerned with cognitive agents and space, such as cognitive and developmental psychology, linguistics, computer science, geography, cartography, philosophy, neuroscience, and education. Research issues in the field range from the investigation of human spatial cognition to mobile robot navigation, including topics such as wayfinding, spatial planning, spatial learning, internal and external re…
Quasi-Fractional Models of Human Tendons Hereditariness
2018
In this study, the authors, after collecting a series of experimental evidences following a creep and relaxation tendon campaign, propose a non-linear model of the viscoelastic behavior of the tendons. The ligaments investigated are the patellars and the hamstrings. The analytical model proposed by the authors aims to explain the non-linear hereditary behavior of these tissues and proposes an approach with which to develop a hereditary fractional-order non-linear model.
Tacit tonality - Implicit learning of context-free harmonic structure
2009
Musical knowledge, like native language knowledge, is largely implicit, being represented without awareness of its complex structures and incidentally acquired through interaction with a large number of samples. Two experiments explore implicit learning of hierarchical harmonic structures of different complexity employing an artificial grammar learning paradigm. The experiments consisted of an incidental learning phase using a distraction task, and a testing phase employing the process dissociation procedure paradigm (Jacoby, 1991). Participants performed significantly above chance and recognised adjacent and long-distance dependencies in both experiments. Confidence ratings and inclusion/e…
Dynamic Functional Connectivity in the Musical Brain
2019
Musical training causes structural and functional changes in the brain due to its sensory-motor demands. This leads to differences in how musicians perceive and process music as compared to non-musicians, thereby providing insights into brain adaptations and plasticity. Correlational studies and network analysis investigations have indicated the presence of large-scale brain networks involved in the processing of music and have highlighted differences between musicians and non-musicians. However, studies on functional connectivity in the brain during music listening tasks have thus far focused solely on static network analysis. Dynamic Functional Connectivity (DFC) studies have lately been …
Les impacts sanitaires de la lumière artificielle nocturne - Un état des lieux des connaissances et des hypothèses
2008
Face à la lumière artificielle nocturne (LAN - Light At Night - dans la littérature médicale), la recherche clinique n'en est qu'à ses prémices, dans une situation comparable à celle dans laquelle elle se trouvait face à la pollution par le bruit il y a une trentaine d'années. Pour autant, les scientifiques s'intéressent de plus en plus aux impacts que l'éclairage artificiel peut avoir sur la santé humaine par le biais d'un dérèglement des rythmes circadiens (d'environ 24 heures - du latin circa, environ, et dies, jour), cycles biologiques souvent " calés " sur l'alternance naturelle d'un jour et d'une nuit. Pour l'être humain, comme pour la plupart des espèces complexes, cette rythmicité j…
RIED. Revista iberoamericana de educación a distancia
2015
Los Massive Online Open Courses (MOOC) son una modalidad de formación virtual que está ya presente en el panorama educativo actual y que responde a una concepción determinada de e-learning. Las universidades están integrando como parte de su oferta formativa este tipo de formación o, al menos, se está debatiendo si se integra o no. Ante esto, se hace necesario calibrar cuáles deben ser sus características con el fin de configurar un tipo de formación virtual de calidad. Se considera que son necesarios instrumentos que avalen la calidad de los MOOC desde diferentes perspectivas, en este caso la pedagógica, ya que de ello dependerá el éxito y la consolidación de este tipo de e-learning. El ob…
Evaluation of radiological findings with COVID-19 lung lesions in Latvia in the view of artificial intelligence and radiologist
2022
Pēc Pasaules Veselības organizācijas datiem kopš pandēmijas sākuma kopējais ar Covid-19 saslimušo cilvēku skaits pārsniedz 500 miljonus. Mākslīgais intelekts (MI) paver plašas iespējas Covid-19 infekcijas izraisīto plaušu bojājumu diagnostikā, kas var uzlabot un atvieglojot radiologa darbu veicinot gan izmeklējuma specifitātes, gan sensitivitātes izvērtēšanas iespējas. Šī pētījuma galvenais mērķis bija salīdzināt MI un radiologa atradnes precizitāti Covid-19 radītā plaušu bojājuma izvērtēšanā un noteikt interpretācijas ierobežojumus un priekšrocības klīniskā kontekstā. Savukārt darba uzdevumi bija iepazīties un apkopot datus ar jaunāko literatūru par MI pielietošanas iespējām medicīnā. Apko…
Machine Learning Models for Measuring Syntax Complexity of English Text
2019
In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.
A Navigation and Augmented Reality System for Visually Impaired People
2021
In recent years, we have assisted with an impressive advance in augmented reality systems and computer vision algorithms, based on image processing and artificial intelligence. Thanks to these technologies, mainstream smartphones are able to estimate their own motion in 3D space with high accuracy. In this paper, we exploit such technologies to support the autonomous mobility of people with visual disabilities, identifying pre-defined virtual paths and providing context information, reducing the distance between the digital and real worlds. In particular, we present ARIANNA+, an extension of ARIANNA, a system explicitly designed for visually impaired people for indoor and outdoor localizati…
Hyper-flexible Convolutional Neural Networks based on Generalized Lehmer and Power Means
2022
Convolutional Neural Network is one of the famous members of the deep learning family of neural network architectures, which is used for many purposes, including image classification. In spite of the wide adoption, such networks are known to be highly tuned to the training data (samples representing a particular problem), and they are poorly reusable to address new problems. One way to change this would be, in addition to trainable weights, to apply trainable parameters of the mathematical functions, which simulate various neural computations within such networks. In this way, we may distinguish between the narrowly focused task-specific parameters (weights) and more generic capability-spec…