E-LIB Suche - Ergebnisse für: Pestana de Aguiar, Eduardo

1

New perspectives for the intelligent rolling stock classifi..:

Dias, Ualison R. F. ; Vargas e Pinto, Arthur C. ; Monteiro, Henrique L. M..
Journal of the Brazilian Society of Mechanical Sciences and Engineering. 46 (2024) 4 - p. , 2024

Link: https://doi.org/10.1007/..

2

Interobserver Agreement and Satisfaction With the use of Te..:

Dias Jr, Jair Moreira ; Mendes Jr, Adriano Fernando ; Pestana de Aguiar, Eduardo...
Global Spine Journal. , 2023

Link: https://doi.org/10.1177/..

3

A Data-Driven Time-Series Fault Prediction Framework for Dy..:

Hell, Michell ; Pestana de Aguiar, Eduardo ; Soares, Nielson.
International Journal of Fuzzy Systems. 24 (2022) 6 - p. 2831-2844 , 2022

Link: https://doi.org/10.1007/..

4

Interval type-2 fuzzy set based time series forecasting usi..:

Pinto, Arthur Caio Vargas ; Fernandes, Thiago Esterci ; Silva, Petrônio C. L....
Evolving Systems. 13 (2022) 5 - p. 703-721 , 2022

Link: https://doi.org/10.1007/..

5

Stochastic Optimization Combined with Type-2 Fuzzy Logic Sy..:

Fonseca, Lara D. ; Pestana de Aguiar, Eduardo
International Journal of Fuzzy Systems. 24 (2022) 7 - p. 3144-3161 , 2022

Link: https://doi.org/10.1007/..

6

Variable step-size evolving participatory learning with ker..:

Queiroz, Eduardo Ravaglia Campos ; Alves, Kaike Sa Teles Rocha ; Cyrino Oliveira, Fernando Luiz.
Evolving Systems. 13 (2021) 2 - p. 297-306 , 2021

Link: https://doi.org/10.1007/..

7

Power Transformers Thermal Modeling using an Enhanced Set-M..:

Gonçalves da Rocha, Marcos V. ; Hell, Michel B. ; Rocha Alves, Kaike Sa T...
Electric Power Systems Research. 194 (2021) - p. 107088 , 2021

Link: https://doi.org/10.1016/..

8

A novel rule-based evolving Fuzzy System applied to the the..:

Alves, Kaike Sa Teles Rocha ; Pestana de Aguiar, Eduardo
Applied Soft Computing. 112 (2021) - p. 107764 , 2021

Link: https://doi.org/10.1016/..

9

An enhanced receiver for an impulsive UWB-based PLC system ..:

Salmento, Marlon Lucas Gomes ; Pestana de Aguiar, Eduardo ; Camponogara, Ândrei.
Digital Signal Processing. 70 (2017) - p. 145-154 , 2017

Link: https://doi.org/10.1016/..

10

A new Takagi–Sugeno–Kang model for time series forecasting:

Alves, Kaike Sa Teles Rocha ; de Jesus, Caian Dutra ; de Aguiar, Eduardo Pestana
Engineering Applications of Artificial Intelligence. 133 (2024) - p. 108155 , 2024

Link: https://doi.org/10.1016/..

11

Kernel Evolving Participatory Fuzzy Modeling for Time Serie..:

, In: 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE),

De Oliveira Marques, Eduardo Santos ; Alves, Kaike Sa Teles Rocha ; Pekaslan, Direnc. - p. 1-8 , 2022

Link: https://doi.org/10.1109/..

12

A New evolving Fuzzy System with Mechanisms to Deal With Un..:

, In: 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI),

Alves, Kaike Sa Teles Rocha ; Pekaslan, Direnc ; Wagner, Christian. - p. 1-6 , 2022

Link: https://doi.org/10.1109/..

13

Kernel Evolving Participatory Fuzzy Modeling for Time Serie..:

, In: 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS),

de Oliveira Marques, Eduardo Santos ; Alves, Kaike Sa Teles Rocha ; Pekaslan, Direnc. - p. 1-8 , 2022

Link: https://doi.org/10.1109/..

14

Predictors and outcomes of individual knowledge on early-st..:

Chawla, Yash ; Radziwon, Agnieszka ; Scaringella, Laurent...
Information Processing & Management. 58 (2021) 6 - p. 102720 , 2021

Link: https://doi.org/10.1016/..

15

Unsupervised machine learning techniques to prevent faults ..:

Soares, Nielson ; Aguiar, Eduardo Pestana de ; Souza, Amanda Campos.
International Journal of Critical Infrastructure Protection. 33 (2021) - p. 100423 , 2021

Link: https://doi.org/10.1016/..