Data combiningWeb of ScienceScopusScientific research builds on previous studies and scientifically proven knowledge. Researchers must master the recent developments in the field when designing research to answe
in the first two datasets or the orbital period around the common center of mass in the third dataset. The data we use is given in theSupplementary Information. Note that the dataset does not contain measurements for a number of variables in the axiom system, such asd1, d2, Fg, ...
This study utilized several publicly available datasets: OpenStreetMap data for road networks and Points of Interest (accessed viawww.openstreetmap.org), WorldPop data for population density (accessed viawww.worldpop.org), and Meta’s Relative Wealth Index data (accessed viadata.humdata.org/dataset...
According to the statistical method, the data distributed outside each group data series (μσμσμ−3σ,μ+3σ) are regarded as outliers34. And it’s no outliers in the four datasets. Then, the data was normalized according to the following formula: Xi=(Xi−min)(max−min), (9...
These constants are obtained by defining an added value that results in zero difference when mean value of DAHITI measurements is subtracted from mean values of in-situ and GRLM datasets, respectively. The result showed that DAHITI and GRLM altimetry products well agreed to the measured water ...
The performance of the combined algorithm is tested using three standard datasets as summarized in Table 1. The first dataset is CrackIT, and the public code implementation in MATLAB is used in our experiments [18] with the authors' permission. The CrackIT database provides ground truth only for...
Results showed that Sentinel-1A data produced higher mapping accuracies than the quad-source optical datasets. This is attributed to the higher number of Sentinel-1A images at the early stages of rice growth (vegetative phase), a period where changes in rice satellite signals are most abrupt ...
Using a clustering-based data integration method, large-scale protein interaction data, protein complex data and multiple time-course gene expression datasets were combined in order to build FGN in yeast. Greater coverage and higher accuracy were achieved in comparison with previous high-throughput ...
can be biased by hidden global patterns in the data (in our case likely to reflect indirect and general type of effects (for example growth rates)), and to take into account the typical patterns of interaction of multivariate datasets, the authors in60 developed an effective and simple approac...
W.Z. implemented baselines for crystal-structure phase mapping and assisted on generating MNIST-Sudoku data. L.Z. and D.G. generated phase mapping datasets and interpreted and validated solutions. C.P.G., D.C. and J.M.G. were the main authors of the manuscript, with contributions from ...