Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Oswaldo Morales-Nápoles"'
Autor:
Guus Rongen, Oswaldo Morales-Nápoles
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101693- (2024)
This article describes the development of a GUI that addresses the challenge of eliciting dependencies between uncertain quantities elicited by experts. While software for eliciting univariate uncertainties is widely available, the mathematical compl
Externí odkaz:
https://doaj.org/article/37ebb9d989ae4f0687c97d72b78b6f9b
Publikováno v:
Frontiers in Water, Vol 6 (2024)
The Netherlands has traditionally focused on managing flood risk. However, the frequent occurrence of droughts in recent years has brought attention to managing both extremes. Transitions between these opposite extremes pose additional challenges to
Externí odkaz:
https://doaj.org/article/34388b1d85a84200b558a06fa1830cd4
Autor:
Oswaldo Morales-Nápoles, Mojtaba Rajabi-Bahaabadi, Gina Alexandra Torres-Alves, Cornelis Marcel Pieter ’t Hart
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023)
Abstract Vine copulas have become the standard tool for modelling complex probabilistic dependence. It has been shown that the number of regular vines grows extremely quickly with the number of nodes. Chimera is the first attempt to map the vast spac
Externí odkaz:
https://doaj.org/article/56630d06dd0e4e50a11bbf5d6a342cce
Publikováno v:
Entropy, Vol 26, Iss 5, p 360 (2024)
Constructing Bayesian networks (BN) for practical applications presents significant challenges, especially in domains with limited empirical data available. In such situations, field experts are often consulted to estimate the model’s parameters, f
Externí odkaz:
https://doaj.org/article/edbbb97a09e74895be7d24684fd62fb8
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101479- (2023)
This update (version 1.3) of our contribution BANSHEE—A MATLAB toolbox for Non-Parametric Bayesian Networks provides functional updates. Additions to the software package include quantifying fully parametric Bayesian Networks, drawing a user-define
Externí odkaz:
https://doaj.org/article/d171f010d5e24f1dab04127a41efd6fe
Autor:
Isavela N. Monioudi, Adonis F. Velegrakis, Dimitris Chatzistratis, Michalis I. Vousdoukas, Christos Savva, Dandan Wang, Gerald Bove, Lorenzo Mentaschi, Dominik Paprotny, Oswaldo Morales-Nápoles, Antonis E. Chatzipavlis, Thomas Hasiotis, Evangelia Manoutsoglou
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
This contribution presents an assessment at a regional (island) scale of the beach erosion due to storm events under Climate Change. The approach adopted to assess beach erosion at the island scale consisted of three modules. First, the location, dim
Externí odkaz:
https://doaj.org/article/78e3728f7b854881a76baef6d5a75677
Autor:
Paul Koot, Miguel Angel Mendoza-Lugo, Dominik Paprotny, Oswaldo Morales-Nápoles, Elisa Ragno, Daniël T.H. Worm
Publikováno v:
SoftwareX, Vol 21, Iss , Pp 101279- (2023)
In this paper we discuss PyBanshee, which is a Python-based open-source implementation of the MATLAB toolbox BANSHEE. PyBanshee constitutes the first fully open-source package to quantify, visualize and validate Non-Parametric Bayesian Networks (NPBN
Externí odkaz:
https://doaj.org/article/c06a97d27ba346c6aba123ce75810f1b
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 13, Iss , Pp 100552- (2022)
Weigh-in-motion (WIM) systems help to collect data such as vehicular loads, individual axle loads, vehicle type, and number of axles. This is relevant in engineering because traffic load performs an essential function in the design of new bridges and
Externí odkaz:
https://doaj.org/article/bb297c0bff53489d9f931155c355eb23
Autor:
Edgardo Medina, Carlos Roberto Fonseca, Iván Gallego-Alarcón, Oswaldo Morales-Nápoles, Miguel Ángel Gómez-Albores, Mario Esparza-Soto, Carlos Alberto Mastachi-Loza, Daury García-Pulido
Publikováno v:
Water, Vol 14, Iss 8, p 1231 (2022)
Technical, economic, regulatory, environmental, and social and political interests make the process of selecting an appropriate wastewater treatment technology complex. Although this problem has already been addressed from the dimensioning approach,
Externí odkaz:
https://doaj.org/article/d49c025254804281806606c09224bb2f
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100588- (2020)
Bayesian Networks (BNs) are probabilistic, graphical models for representing complex dependency structures. They have many applications in science and engineering. Their particularly powerful variant – Non-Parametric BNs – are for the first time
Externí odkaz:
https://doaj.org/article/c6a1109bd508482ba4011edc96343d45