Search results for "SJ"
showing 10 items of 2539 documents
Increasing sample efficiency in deep reinforcement learning using generative environment modelling
2020
Improving the Competency of Classifiers through Data Generation
2001
This paper describes a hybrid approach in which sub-symbolic neural networks and symbolic machine learning algorithms are grouped into an ensemble of classifiers. Initially each classifier determines which portion of the data it is most competent in. The competency information is used to generated new data that are used for further training and prediction. The application of this approach in a difficult to learn domain shows an increase in the predictive power, in terms of the accuracy and level of competency of both the ensemble and the component classifiers.
Teollisen internetin hyödyntäminen toiminnanohjauksessa
2016
Teollinen internet on ollut informaatioteknologiatutkimuksen yksi ajankohtaisimmista aiheista. Yritysmaailmassa asiakkaat sekä toimittajat ovat todella kiinnostuneita teollisen internetin mahdollisuuksista. Teollista internetiä onkin pidetty mahdollisena seuraavana digitaalisena vallankumouksena. Palvelujen toiminnanohjauksessa ja yleisesti toiminnanohjauksessa on tapahtunut viimeisimpinä vuosina vain vähäisiä muutoksia, mutta nyt teollisen internetin odotetaan mullistavan jopa perinteiset toiminnanohjauksenjärjestelmät ja -prosessit. Yritykset niin teollisen internetin että toiminnanohjauksen alueilla ovat todella kiinnostuneita näiden kahden palasen yhdistämisestä ja sen tuomista mahdolli…
Top management team demography and firm operating performance: a path analysis
2020
PurposeThis paper examined the relationship between TMT demographic properties and firm performance using diversity and level variables and measuring differing constructs of firm performance representing divergent strategies.Design/methodology/approachStructural equation modelling was used to test the relationships between TMT demographic properties and firm performance measured as return on net operating assets (RNOA), and its disaggregates profit margin (PM) and asset turnover (ATO). Data were from 89 Finnish firms during the years 2008–2011, resulting in 320 observations.FindingsTMT team tenure had associations with RNOA through both PM and ATO while TMT age, age diversity, firm tenure, …
Biogeographic Anomalies in Shore Flies as Revealed in Revision of the Shore-Fly Genus Subpelignus Papp (Diptera: Ephydridae)
2022
Subpelignus Papp is revised, including description of (1) a new species, S. gagnei Zatwarnicki and Mathis (New Zealand. North Island. ND: Whananaki South (35°31.1'S, 174°27.2'E); (2) two new combinations, Subpelignus antennalis (Aldrich, 1931) and Subpelignus limosinus (Becker, 1896); (3) a new synonym, S. hortobagensis Papp, 1983 = S. limosinus Becker; and (4) description of a new subgenus, Niratissa Zatwarnicki and Mathis, for S. maculipennis Mathis and Zatwarnicki. Descriptions of revised and the newly described species include some of the first illustrations of structures of the male terminalia. Detailed locality data for all species examined are provided. For perspective and to facilit…
Muhos- ja Sanginjoki lohikalojen elinympäristöinä
2006
Microphysical Properties of Ice Crystal Precipitation and Surface-Generated Ice Crystals in a High Alpine Environment in Switzerland
2017
AbstractDuring the Cloud and Aerosol Characterization Experiment (CLACE) 2013 field campaign at the High Altitude Research Station Jungfraujoch, Switzerland, optically thin pure ice clouds and ice crystal precipitation were measured using holographic and other in situ particle instruments. For cloud particles, particle images, positions in space, concentrations, and size distributions were obtained, allowing one to extract size distributions classified by ice crystal habit. Small ice crystals occurring under conditions with a vertically thin cloud layer above and a stratocumulus layer approximately 1 km below exhibit similar properties in size and crystal habits as Antarctic/Arctic diamond …
Single particle characterization of black carbon aerosols at a tropospheric alpine site in Switzerland
2010
The refractory black carbon (rBC) mass, size distribution (190–720 nm) and mixing state in sub-micron aerosols were characterized from late February to March 2007 using a single particle incandescence method at the high alpine research station Jungfraujoch (JFJ), Switzerland (46.33° N, 7.59° E, 3580 m a.s.l.). JFJ is a ground based location, which is at times exposed to continental free tropospheric air. A median mass absorption coefficient (MAC) of 10.2&plusmn;3.2 m<sup>2</sup> g<sup>−1</sup> at &lambda;=630 nm was derived by comparing single particle incandescence measurements of black carbon mass with continuous measurements of absorption coefficient. This…
Aerosol influences on low-level clouds in the West African monsoon
2019
Abstract. Low-level clouds (LLC) cover a wide area of southern West Africa (SWA) during the summer monsoon months, and have an important cooling effect on the regional climate. Previous studies of these clouds have focused on modelling and remote sensing via satellite. We present the first comprehensive set of regional, in situ measurements of cloud microphysics, taken during June – July 2016, as part of the DACCIWA (Dynamics-Aerosol-Chemistry-Clouds Interactions in West Africa) campaign, assessing spatial and temporal variation in the properties of these clouds. LLC developed overnight and mean cloud cover peaked a few hundred kilometres inland around 10:00 local solar time (LST), before c…
Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation
2017
Source at https://doi.org/10.1109/JSTARS.2016.2641583. Gaussian process regression (GPR) has experienced tremendous success in biophysical parameter retrieval in the past years. The GPR provides a full posterior predictive distribution so one can derive mean and variance predictive estimates, i.e., point-wise predictions and associated confidence intervals. GPR typically uses translation invariant covariances that make the prediction function very flexible and nonlinear. This, however, makes the relative relevance of the input features hardly accessible, unlike in linear prediction models. In this paper, we introduce the sensitivity analysis of the GPR predictive mean and variance functions…