Search results for "EURA"
showing 10 items of 3336 documents
Kauppaneuvos Heikki Peura (1870–1937)
2017
Voimistelulahjakkuus, sen etsintä ja tukeminen
2009
Measuring Health Promotion in Sports Club Settings: A Modified Delphi Study
2019
Settings-based approaches have become an increasing health promotion focus since the World Health Organization’s 1986 Ottawa Charter. While schools, cities, and prisons have implemented this approach, its development within sports environments is recent. Sports are a popular leisure-time activity, requiring validated tools to measure health promotion activity. This study’s aim was to develop a measurement tool based on international consensus that measures perceptions of health promotion within sports clubs. It is grounded in the settings-based approach and builds on theory from previous works expanding their context and knowledge. An online, three-round international Delphi study was cond…
Health promoting sports club : youth sports clubs' health promotion profiles, guidance, and associated coaching practice, in Finland
2010
Paimion yläkoulun oppilaiden terveyttä edistävän liikunnan suositusten toteuttaminen ja liikuntatietämys
2005
Luotettavampaa kuljettajan tarkkaamattomuuden mittaamista
2022
Kuljettajan tarkkaamattomuutta on mahdollista vähentää kontekstiin sopivalla suunnittelulla. Palkitussa väitöskirjassa kehitetään luotettavampaa kuljettajan tarkkaamaattomuuden mittaamista sekä esitetään tarkkaamattomuutta vähentäviä suunnitteluratkaisuja. nonPeerReviewed
Thermal anomalies detection in a photovoltaic plant using artificial intelligence: Italy case studies
2021
This paper proposes the application of artificial intelligence techniques for the identification of thermal anomalies that occur in a photovoltaic system due to malfunctions or faults, with the aim to limit the energy production losses by detecting faults at an early stage. The proposed approach is based on a Thermographic Non-Destructive Test conducted with Unmanned Aerial Vehicles equipped with a thermal imaging camera, which allows the detection of abnormal operating conditions without interrupting the normal operation of the PV system rapidly and cost-effectively. The thermographic images and videos are automatically inspected using a Convolutional Neural Network, developed by an open-s…
Katsaus Suomen Historiallisen Seuran talouteen ja tutkijoiden tukemiseen apurahoin
2019
Anonymization as homeomorphic data space transformation for privacy-preserving deep learning
2021
Industry 4.0 is largely data-driven nowadays. Owners of the data, on the one hand, want to get added value from the data by using remote artificial intelligence tools as services, on the other hand, they concern on privacy of their data within external premises. Ideal solution for this challenge would be such anonymization of the data, which makes the data safe in remote servers and, at the same time, leaves the opportunity for the machine learning algorithms to capture useful patterns from the data. In this paper, we take the problem of supervised machine learning with deep feedforward neural nets and provide an anonymization algorithm (based on the homeomorphic data space transformation),…
Are customer star ratings and sentiments aligned? A deep learning study of the customer service experience in tourism destinations
2023
AbstractThis study explores the consistency between star ratings and sentiments expressed in online reviews and how they relate to the different components of the customer experience. We combine deep learning applied to natural language processing, machine learning and artificial neural networks to identify how the positive and negative components of 20,954 online reviews posted on TripAdvisor about tourism attractions in Venice impact on their overall polarity and star ratings. Our findings showed that sentiment valence is aligned with star ratings. A cancel-out effect operates between the positive and negative sentiments linked to the service experience dimensions in mixed-neutral reviews.