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133 results on '"Trojan, Flavio"'

1. Vehicle Industry Big Data Analysis Using Clustering Approaches

Author

Seixas, Lenon Diniz, Corrêa, Fernanda Cristina, Siqueira, Hugo Valadares, Trojan, Flavio, Afonso, Paulo, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Pereira, Ana I., editor, Mendes, Armando, editor, Fernandes, Florbela P., editor, Pacheco, Maria F., editor, Coelho, João P., editor, and Lima, José, editor

Published
2024
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13. [Untitled]

Author

Belotti Jonatas, Mendes José Jair, Leme Murilo, Trojan Flavio, Stevan Sergio L., and Siqueira Hugo

Subjects
streamflow series prediction, multistep forecasting, monthly approach, extreme learning machines, Hydraulic engineering, TC1-978
Abstract

Several activities regarding water resources management are dependent on accurate monthly streamflow forecasting, such as flood control, reservoir operation, water supply planning, hydropower generation, energy matrix planning, among others. Most of the literature is focused on propose, compare, and evaluate the forecasting models. However, the decision on forecasting approaches plays a significant role in such models’ performance. In this paper, we are focused on investigating and confront the following forecasting approaches: i) use of a single model for the whole series (annual approach) versus using 12 models, each one responsible for predicting each month (monthly approach); ii) for multistep forecasting, the use of direct and recursive methods. The forecasting models addressed are the linear Autoregressive (AR) and Periodic Autoregressive (PAR) models, from the Box & Jenkins family, and the Extreme Learning Machines (ELM), an artificial neural network architecture. The computational analysis involves 20 time series associated with hydroelectric plants indicated that the monthly approach with the direct multistep method achieved the best overall performances, except for the cases in which the coefficient of variation is higher than two. In this case, the recursive approach stood out. Also, the ELM overcame the linear models in most cases.

Published
2021
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36. Scientific Production in Sustainable Supply Chains.

Author

Lizot, Mauro, Trojan, Flavio, Siqueira, Hugo Valadares, Cristina Corrêa, Fernanda, and Afonso, Paulo

Subjects
SUPPLY chain management, SUSTAINABLE development, KEYWORDS, PORTFOLIO management (Investments), METHODOLOGY
Abstract

Researchers need to know the trends of specific themes and how the main methods are applied to solve the existing gaps. The objective of this research is to apply a structured methodology to select articles of high scientific relevance in the area of sustainable supply chain. In methodological terms, bibliographical research was carried out, which followed several steps, such as: filtering of journals with stratum Q1, database selection, choice of keywords; reading of titles and abstracts; classification of the number of citations; full critical reading of all articles in the bibliographic portfolio. With regard to research results, it was possible to identify through the frequency analysis, the types of study found in the portfolio articles; sustainable supply chain aspects; and the percentage of journals in the bibliographic portfolio, with their respective JCRs with a high impact factor. In addition to an extensive systemic analysis, which allowed identifying research opportunities. [ABSTRACT FROM AUTHOR]

Published
2023

38. Using multi-criteria analysis for smart city assessment

Author

Chiroli, Daiane Maria De Genaro, Solek, Érica A. B., Oliveira, Rosana S., Barboza, Bertiene M. L., de Campos, Rodolfo P., Kovaleski, João L., Sérgio M. Tebecherani, and Trojan, Flavio

Subjects
Urban Studies, redes migratórias, Multi-criteria analysis, Portugal, trajetórias espaciais, Criteria weights, Smart cities ranking, Smart Cities Ranking, migração, Criteria Weights
Abstract

Urban centers have been under a new concept of city. Smart Cities are, in a nutshell, organized communities that feature high communication technology and conscious investments in sustainability, providing dynamic and safe environments. This paper presents a methodology to assess and rank Smart Cities based on a multi-criteria decision-making process. Methodologies that do not consider a pondered approach and filter for specific goals are commonly found in the literature, once there is a great number of criteria involved in these analyses. This work proposes filtering the criteria, considering each specific evaluation and its objectives. Our methodology is based on a multi-criteria analysis and uses AHP (Analytic Hierarchy Process) to support the process of weights definition and MACBAC (Multi-Attributive Border Approximation Area Comparison) in an application with compensatory characteristics. Through this study, it is possible to conduct the assessment of Smart Cities according to its multiple contexts, viz. its location, decision-makers and the objectives of the analysis. All in all, this research presents novelty related to the organization of the evaluation in accord to the expected resolution and a pondered approach with reduced number of criteria, making the analysis very straightforward. publicada

Published
2022

39. Using multi-criteria analysis for smart city assessment

Author

De Genaro Chiroli, Daiane Maria, primary, A. B. Solek, Érica, additional, S. Oliveira, Rosana, additional, M. L. Barboza, Bertiene, additional, P. de Campos, Rodolfo, additional, L. Kovaleski, João, additional, M. Tebecherani, Sérgio, additional, and Trojan, Flavio, additional

Published
2022
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