ABSTRACT: Accurate forecasting of diesel prices is essential for Malaysia, where transportation, agriculture, and industry are highly dependent on this fuel. This study investigates the effectiveness ...
Abstract: Aperiodic autocorrelation is an important indicator of performance of sequences used in communications, remote sensing, and scientific instrumentation. Knowing a sequence’s autocorrelation ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. While it is very common to model diffusion as a random walk by assuming memorylessness ...
ABSTRACT: To decipher both shallow and deeper structural features that may control the emplacement of Kimberlite/Lamproite bodies in basement-exposed and covered areas, a detailed gravity survey was ...
Autocorrelation, a statistical measure that evaluates the relationship between a variable’s past and present values, can provide insights into patterns and guide investment decisions. By analyzing how ...
Physicists have investigated to which extent a piece of music can evoke expectations about its progression. They were able to determine differences in how far compositions of different composers can ...
Abstract: An attractive MATLAB-based tool for teaching the basics of autocorrelation function and noise concepts is presented in this paper. This tool enhances traditional in-classroom lecturing. The ...
Autoregressive models are a statistical technique used to predict future values in a sequence based on its past values. It is essentially a fancy way of saying that it uses the past to predict the ...
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