Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Catalina Lucia Cocianu"'
Spoken Digit Recognition using the k-Nearest-Neighbor method and Mel Frequency Cepstral Coefficients
Autor:
Sorin MURARU, Catalina Lucia COCIANU
Publikováno v:
Informatică economică, Vol 28, Iss 2, Pp 5-16 (2024)
This study investigates the utilization of the k-nearest-neighbor algorithm within the framework of machine learning for speech recognition applications. The AudioMNIST dataset is used for performing the evaluations in which the model predicts the sp
Externí odkaz:
https://doaj.org/article/ed51df0e8acf47afa0683d59b3c60e7a
Publikováno v:
Romanian Journal of Petroleum & Gas Technology, Vol 4, Iss 1, Pp 133-148 (2023)
This study aims to investigate the use of various deep learning techniques to predict future residential natural gas consumption in Italy, with a particular emphasis on the correlation between gas consumption and temperature. Four models were evaluat
Externí odkaz:
https://doaj.org/article/2bb0b0f0300f4d769fdcb9aded19126f
Publikováno v:
Informatică economică, Vol 24, Iss 1, Pp 5-14 (2020)
The paper focuses on financial data forecasting in terms of one-step-ahead nonlinear model with exogenous inputs. The main aim is the development of a methodology to forecast the exchange rate between EURO and US Dollar. The prediction task is carrie
Externí odkaz:
https://doaj.org/article/e181f91cf4434b3da9d4ed0756fa9a09
Publikováno v:
Informatică economică, Vol 22, Iss 2, Pp 5-13 (2018)
The work reported in the paper focuses on the prediction of the exchange rate of the Swiss Franc-Romanian Leu against the US Dollar-Romanian Leu using the NARX model. We propose two new forecasting methods based on NARX model by considering both addi
Externí odkaz:
https://doaj.org/article/4bf97e10ccee4037b90cefa99721f260
Publikováno v:
Informatică economică, Vol 20, Iss 3, Pp 66-75 (2016)
In this paper is presented a new technique consisting in applying some pre-whitening and shrinkage methods followed by a neural network-based supervised approach for correlated noise removal purposed. In our work the type of noise and the covariance
Externí odkaz:
https://doaj.org/article/d8555344253d437ca26f763475a899fe
Publikováno v:
Informatică economică, Vol 19, Iss 2, Pp 34-45 (2015)
Considering the fact that markets are generally influenced by different external factors, the stock market prediction is one of the most difficult tasks of time series analysis. The research reported in this paper aims to investigate the potential of
Externí odkaz:
https://doaj.org/article/04037efad9484146beeffada2a41e183
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 5, Iss 2, Pp 62-65 (2007)
Classical feature extraction and data projection methods have been extensively investigated in the pattern recognition and exploratory data analysis literature. Feature extraction and multivariate data projection allow avoiding the "curse of dimensio
Externí odkaz:
https://doaj.org/article/2e33dde5c8384ff98e01a1eb66270885
Publikováno v:
Symmetry, Vol 12, Iss 6, p 881 (2020)
The main aim of the reported work is to solve the registration problem for recognition purposes. We introduce two new evolutionary algorithms (EA) consisting of population-based search methods, followed by or combined with a local search scheme. We u
Externí odkaz:
https://doaj.org/article/77f2154134a24662a04ec8ab082a963c
Publikováno v:
Electronics, Vol 10, Iss 2606, p 2606 (2021)
Electronics
Volume 10
Issue 21
Electronics
Volume 10
Issue 21
The paper presents a new memetic, cluster-based methodology for image registration in case of geometric perturbation model involving translation, rotation and scaling. The methodology consists of two stages. First, using the sets of the object pixels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f445605e8c1f879fb320dc8c8e707072
https://www.mdpi.com/2079-9292/10/21/2606
https://www.mdpi.com/2079-9292/10/21/2606
Publikováno v:
Symmetry
Volume 12
Issue 6
Symmetry, Vol 12, Iss 881, p 881 (2020)
Volume 12
Issue 6
Symmetry, Vol 12, Iss 881, p 881 (2020)
The main aim of the reported work is to solve the registration problem for recognition purposes. We introduce two new evolutionary algorithms (EA) consisting of population-based search methods, followed by or combined with a local search scheme. We u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd8f54b93f45e4d197c1990ac1d11b0c