ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials: Enviaments recents
Ara es mostren els items 13-24 de 135
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Mixed nonlinear modelling in food engineering: determination of the salting time of boneless dry-cured Cerretan hams
(TU Dortmund University, 2023)
Comunicació de congrés
Accés obertA great challenge in producing a good cured ham is to reduce the variability of the salt content between pieces of ham and to obtain homogeneity in terms of flavour and quality in general. This reduction in variability ... -
Mapping life expectancy loss in Barcelona in 2020
(2023-05-04)
Article
Accés obertWe use a Bayesian spatio-temporal model, first to smooth small-area initial life expectancy estimates inBarcelona for 2020, and second to predict what small-area life expectancy would have been in 2020 inabsence of covid-19 ... -
Effectively integrating research argumentation in syllabus learning: A case study of reading journal articles in four fourth-year engineering fluid mechanics courses
(SAGE publishing, 2023-08-10)
Article
Accés obertIn an emerging trend in engineering education students are engaged in the scientific discovery process through reading about research published in articles rather than textbooks. A research-based and curriculum-oriented ... -
Fitted avatars: automatic skeleton adjustment for self-avatars in virtual reality
(2023-07-06)
Article
Accés obertIn the era of the metaverse, self-avatars are gaining popularity, as they can enhance presence and provide embodiment when a user is immersed in Virtual Reality. They are also very important in collaborative Virtual Reality ... -
Interpreting machine learning models for survival analysis: a study of cutaneous melanoma using the SEER database
(2023-06-15)
Report de recerca
Accés obertIn this study, we train and compare three types of machine learning algorithms for Survival Analysis: Random Survival Forest, DeepSurv and DeepHit, using the SEER database to model cutaneous malignant melanoma. Additionally, ... -
Hybrid approaches for container traffic forecasting in the context of anomalous events: the case of the Yangtze River Delta region in the COVID-19 pandemic
(2022-11)
Article
Accés restringit per política de l'editorialThe COVID-19 pandemic had a significant impact on container transportation. Accurate forecasting of container throughput is critical for policymakers and port authorities, especially in the context of the anomalous events ... -
Childhood-onset of primary Sjögren’s syndrome: phenotypic characterization at diagnosis of 158 children
(2021-10-02)
Article
Accés obert -
Characterization and outcomes of 414 patients with primary SS who developed haematological malignancies
(2023-01-01)
Article
Accés obertObjective To characterize 414 patients with primary SS who developed haematological malignancies and to analyse how the main SS- and lymphoma-related features can modify the presentation patterns and outcomes. Methods By ... -
Glycaemia fluctuations improvement in old-age prediabetic subjects consuming a quinoa-based diet: a pilot study
(2022-06-01)
Article
Accés obertThis study aimed to observe if quinoa could produce a benefit on postprandial glycemia that would result in less progression to type 2 diabetes (T2D). A cross-over design pilot clinical study with a nutritional intervention ... -
Alcohol as a trigger of migraine attacks in people with migraine: results from a large prospective cohort study in English-speaking countries
(2022-11-27)
Article
Accés obertObjective: To assess whether alcohol intake is associated with the onset of migraine attacks up to 2 days after consumption in individuals with episodic migraine (EM).Background: Although alcohol has long been suspected ... -
Perception of recycled plastics for improved consumer acceptance through self-reported and physiological measures
(2022-12-01)
Article
Accés obertThis article aims to provide in-depth insight into how consumers perceive recycled materials in comparison with natural raw materials at both the perceptual and attitudinal levels. To this end, we combined classic self-reported ... -
Understanding complex predictive models with ghost variables
(Springer, 2022-08-24)
Article
Accés obertFramed in the literature on Interpretable Machine Learning, we propose a new procedure to assign a measure of relevance to each explanatory variable in a complex predictive model. We assume that we have a training set to ...