Results 1 to 10 of about 1,594,443 (315)
DCCA cross-correlation coefficient: Quantifying level of cross-correlation
Physica A: Statistical Mechanics and Its Applications, 2011 Abstract In this paper, a new coefficient is proposed with the objective of quantifying the level of cross-correlation between nonstationary time series. This cross-correlation coefficient is defined in terms of the DFA method and the DCCA method. The implementation of this cross-correlation coefficient will be illustrated with selected time series.
G F Zebende
exaly +2 more sources
Cross-Correlated Motions in Azidolysozyme [PDF]
Molecules, 2022 The changes in the local and global dynamics of azide-labelled lysozyme compared with that of the wild type protein are quantitatively assessed for all alanine residues along the polypeptide chain. Although attaching -N3 to alanine residues has been considered to be a minimally invasive change in the protein it is found that depending on the location ...
Seyedeh Maryam Salehi, Markus Meuwly
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Introduction and application of transfer function model to predict the process of rainfall-groundwater level in Golestan province [PDF]
رویکردهای نوین در مهندسی آب و محیط زیست, 2023 Groundwater is one of the most valuable water resource in Iran, which is mainly influenced by rainfall patterns in a region. In the present study, 30-years rainfall and groundwater level data were used in the three watersheds of Galikesh, Ramian and ...
Youl Aman Nazeri +3 more
doaj +1 more source
The Cross-correlation Structure of Tehran Stock Exchange Indexes by Multifractal Detrended Fluctuation Analysis [PDF]
تحقیقات مالی, 2012 One of the latest approaches for analyzing the coupled time series is MF-DXA. This technique has been used in many disciplines such as finance. In this paper, we have analyzed Tehran Stock Exchange indexes by MF-DXA and have found a scaling behavior ...
Reza Tehrani +2 more
doaj +1 more source
Study the noise effect on the edges and cross correlation of TV images
Tikrit Journal of Pure Science, 2023 The noise that associated with TV images is considered to be a very important problem that complicates the developments of these systems. Because of that, it makes the interpretation and analysis of informative images a very difficult process, and ...
Abdullah .H. Muhammad, Layla Mahdi Salih
doaj +1 more source
Cross-correlation beamforming [PDF]
Journal of Seismology, 2016 An areal distribution of sensors can be used for estimating the direction of incoming waves through beamforming. Beamforming may be implemented as a phase-shifting and stacking of data recorded on the different sensors (i.e., conventional beamforming).
Ruigrok, E.N. (author) +2 more
openaire +5 more sources
Vision-Text Cross-Modal Fusion for Accurate Video Captioning
IEEE Access, 2023 In this paper, we introduce a novel end-to-end multimodal video captioning framework based on cross-modal fusion of visual and textual data. The proposed approach integrates a modality-attention module, which captures the visual-textual inter-model ...
Kaouther Ouenniche +2 more
doaj +1 more source
THE COMPOSITE LEADING INDICATOR FOR GERMAN BUSINESS CYCLE [PDF]
Journal of Competitiveness, 2017 Monitoring and predicting economic cycles have returned to the awareness of economists with the impact of the economic crisis in 2007/2008. To determine the current and future state of the country’s economic cycle, Composite Leading Indicators (CLI) can ...
Tkacova Andrea +2 more
doaj +1 more source
Relationship between ionospheric TEC and geomagnetic SqZ at middle and low latitudes
Frontiers in Astronomy and Space Sciences, 2022 Solar quiet variation (Sq) generated from ionospheric currents are among the most important type of geomagnetic variations. In this paper, the correlation between the geomagnetic Z component solar quiet variation (SqZ) component and the ionospheric total
Chao Niu +4 more
doaj +1 more source
Functional interactions among neurons within single columns of macaque V1
eLife, 2022 Recent developments in high-density neurophysiological tools now make it possible to record from hundreds of single neurons within local, highly interconnected neural networks.
Ethan B Trepka +4 more
doaj +1 more source