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14.756  Articles
1 of 1.477 pages  |  10  records  |  more records»
Observing large dimension time series could be time-consuming. One identification and classification approach is a time series clustering. This study aimed to compare the accuracy of two algorithms, hierarchical cluster and K-Means cluster, using ACF’s di... see more

Observing large dimension time series could be time-consuming. One identification and classification approach is a time series clustering. This study aimed to compare the accuracy of two algorithms, hierarchical cluster and K-Means cluster, using ACF’s di... see more

In this article some results of comparative analysis of mostly used terrestrial radio signal sources are published. The aim of this observation is to utilize the sources signal as a common signal source in building Time and Frequency Synchronization Syste... see more

In this research, the ARIMA model of the time series has been applied for the prediction of the rate of the dropout of the primary schools for the male and female students during the period (2007-2015) by estimating the autocorrelation and partial coeffic... see more

During last time noticed a trend to the implementation radio electronic systems (RES) for various purposes with a spread spectrum signals. For contraction RES with aggregated signals, wideband and noise-like signals very often utilized radio emission with... see more

In the last decade the city of Solo, located in Central Java, Indonesia, has grown significantly and become a major city. Many industries and hotels have been built in the city and its surroundings. This study aimed to determine the engineering bedrock de... see more

In this paper an electromagnetism-like approach (EM) for solving the low autocorrelation binary sequence problem (LABSP) is applied. This problem is a notoriously difficult computational problem and represents a major challenge to all search algorithms. A... see more

Due to the nonlinear and non-stationary characteristics of the carbon price, it is difficult to predict the carbon price accurately. This paper proposes a new novel hybrid model for carbon price prediction. The proposed model consists of an extreme-point ... see more

Due to the movement and complexity of the carbon market, traditional monoscale forecasting approaches often fail to capture its nonstationary and nonlinear properties and accurately describe its moving tendencies. In this study, a multiscale ensemble fore... see more

1 of 1.477 pages  |  10  records  |  more records»