Search results for " learning."
showing 10 items of 5179 documents
Bright Start -ohjelman soveltuminen koulunsa aloittavien dysfaattisten lasten kognitiiviseen kuntoutukseen
1998
Brain Responses to Letters and Speech Sounds and Their Correlations With Cognitive Skills Related to Reading in Children
2018
Letter-speech sound (LSS) integration is crucial for initial stages of reading acquisition. However, the relationship between cortical organization for supporting LSS integration, including unimodal and multimodal processes, and reading skills in early readers remains unclear. In the present study, we measured brain responses to Finnish letters and speech sounds from 29 typically developing Finnish children in a child-friendly audiovisual integration experiment using magnetoencephalography. Brain source activations in response to auditory, visual and audiovisual stimuli as well as audiovisual integration response were correlated with reading skills and cognitive skills predictive of reading…
Taitamisen tiede - tietämisen taide : taidon oppimisen arkkitehtuuri
2016
The purpose of this research was to study skill learning and the meaning of the art and skill subjects in Finnish comprehensive school. During the last decade, there have been many discussions in the media about the position of the art and skill subjects in our school system and the curriculum. The beginning, the idea, of this study can be located in 2003, when we educators were in the middle of designing the new curriculum for the year 2004. In that curriculum the amount of the art and skill subjects was decreasing, because the amount of the optional subjects decreased from 20 to 13. Many teachers asked: why was that happening? They had a feeling, that the direction was not right. I was al…
Rozwój kompetencji społecznych studentów w dobie nauczania online
2021
Artykuł jest komunikatem z badań, których celem była próba odpowiedzi na pytanie, jak studenci oceniają rozwój swoich kompetencji społecznych w związku z nauką online, która stała się koniecznością z powodu pandemii COVID19. W badaniu wzięło udział 350 studentów z trzech uczelni wyższych miasta Opola. Posłużono się metodą sondażu diagnostycznego. W celu zgromadzenia materiału badawczego wykorzystano kwestionariusz ankiety własnego autorstwa, w wersji online. Badani odpowiadali na pytania w oparciu o pięciostopniową skalę. Analiza wyników wskazuje na to, że respondenci najwyżej ocenili umiejętność zarządzania sobą w czasie (M=3,71) oraz umiejętność wyrażania własnego zdania (M=3,66), natomi…
On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples
2022
The use of artificial intelligence and machine learning is recognized as the key enabler for 5G mobile networks which would allow service providers to tackle the network complexity and ensure security, reliability and allocation of the necessary resources to their customers in a dynamic, robust and trustworthy way. Dependability of the future generation networks on accurate and timely performance of its artificial intelligence components means that disturbance in the functionality of these components may have negative impact on the entire network. As a result, there is an increasing concern about the vulnerability of intelligent machine learning driven frameworks to adversarial effects. In …
Big high-dimensional data analysis with diffusion maps
2013
High-dimensional Big Data processing with dictionary learning and diffusion maps
2015
Algorithms for modern Big Data analysis deal with both massive amount of sam- ples and a large number of features (high-dimension). One way to cope with these challenges is to assume and discover the existence of localization in the data by uncovering its intrinsic geometry. This approach suggests that different data segments can be analyzed separately and then unified in order to gain an understanding of the whole phenomenon. Methods that utilize efficiently local- ized data are attractive for high-dimensional big data analysis, because they can be parallelized, and thus the computational resources, which are needed for their utilization, are realistic and affordable. These methods can explo…
Agile Deep Learning UAVs Operating in Smart Spaces : Collective Intelligence Versus “Mission-Impossible”
2018
The environments, in which we all live, are known to be complex and unpredictable. The complete discovery of these environments aiming to take full control over them is a “mission-impossible”, however, still in our common agenda. People intend to make their living spaces smarter utilizing innovations from the Internet of Things and Artificial Intelligence. Unmanned aerial vehicles (UAVs) as very dynamic, autonomous and intelligent things capable to discover and control large areas are becoming important “inhabitants” within existing and future smart cities. Our concern in this paper is to challenge the potential of UAVs in situations, which are evolving fast in a way unseen before, e.g., em…
Kernels and Graphs on M25 + H
2023
Codes related to article "Graphs and Kernelized Learning Applied to Interactions of Hydrogen with Doped Gold Nanoparticle Electrocatalysts". There are two main types of codes: codes to transform a catalytic system of protected gold nanoparticle and a single hydrogen atom into a graph-based representation, and codes to run kernel-based machine learning methods to predict interaction energies between the nanoparticle and the hydrogen atom. This is a snapshot of the code dataset that has been taken on 06.06.2023. A more detailed description of the data and the address to the GitLab repository for the latest version of the code can be found from the parent dataset of this data publication.
Kernels and Graphs on M25 + H (parent repository)
2023
The repository contains codes related to article "Graphs and Kernelized Learning Applied to Interactions of Hydrogen with Doped Gold Nanoparticle Electrocatalysts". There are two main types of codes: codes to transform a catalytic system of protected gold nanoparticle and a single hydrogen atom into a graph-based representation, and codes to run kernel-based machine learning methods to predict interaction energies between the nanoparticle and the hydrogen atom. This is the metadata for the parent repository of the codes. Updates and possible corrections are documented in the GitLab project, where the material saved and shared. The GitLab project can be found and downloaded from the followin…