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Robust streamflow forecasting: a Student's t-mixture vector autoregressive model
(SPRINGER, 2022)
Accurate streamflow forecasting is one of the main challenges in the management of reservoirs, where autoregressive models have been commonly used. Typically, the noise of these models is considered Gaussian. However, this ...
Modeling in Pre-service Secondary School Teacher Education: developing an School Scientific Model of Energy
(2021)
In this document, we will present the results of an investigation carried out in initial teacher education for pre-service secondary school Physics and Mathematics teachers in Chile. A Teaching and Learning Sequence (TLS) ...
Embracing imperfection in enterprise models
(UniandesDoctorado en IngenieríaFacultad de Ingeniería, 2016)
This dissertation proposes a novel approach for modeling and analyzing imperfect enterprise models. Based on this approach, enterprise models can include imperfect information and enterprise analysis might be performed on ...
Integrating hydraulic, physicochemical and ecological models to assess the effectiveness of water quality management strategies for the river Cuenca in Ecuador
(2013-04-10)
During the past decades, the development and use of ecological models to predict the presence or absence of macroinvertebrates as water quality indicators for decision support in river management has gained a lot of interest. ...
Identification of uncertain MIMO Wiener and Hammerstein models
(Pergamon-Elsevier Science Ltd, 2011-12-14)
Several approaches can be found in the literature to perform the identification of block oriented models (BOMs). In this sense, an important improvement is to achieve robust identification to cope with the presence of ...
Bayesian identification of electromechanical properties in piezoelectric energy harvesters
(Elsevier, 2020)
The model updating of the electro-mechanical properties of Piezoelectric Energy
Harvesters (PEHs) using experimental data within a Bayesian inference setting is discussed.
The implementation requires: a predictive model ...
ORDMKV: a computer program fitting proportional odds model for multi-state Markov process
(1995)
ORDMKV is a computer program designed to fit a multi-state discrete-time Markov model for k-stages disease processes having an ordinal structure. The model consists of k transient states representing the increasing severity ...
AC transmission expansion planning considering uncertainty
(Institute of Electrical and Electronics Engineers Inc., 2019)
© 2019 IEEE. Taking into account uncertainty into the Transmission Expansion Planning (TEP) problem is an important and complex issue. So far, the literature has proposed only simplified models in order to solve this ...