Results 11 to 20 of about 1,914,645 (291)
Mapping of Population Density [PDF]
Abstract The Bureau of the Census listing of geographical coordinates of centroids of all enumeration districts together with population counts from the U. S. 1970 Census of Population was used to contruct via computer five nationwide geographical grids of population density with sector dimensions of 0.01, 0.02, 0.04, 0.1, and 0.25 ...
C M, Haaland, M T, Heath
openaire +2 more sources
Bu çalışmada, 2007-2022 yılları arasında Karamanoğlu Mehmetbey Üniversitesi’nin bibliyometrik analizi yapılmıştır. Web Of Science-WoSveri tabanından elde edilen veri dosyası 429 makalenin bibliyometrik analizleri gerçekleştirilmiştir.
Murat Bay, Muhammet Paylı
doaj +1 more source
Functional connectivity density mapping [PDF]
Brain networks with energy-efficient hubs might support the high cognitive performance of humans and a better understanding of their organization is likely of relevance for studying not only brain development and plasticity but also neuropsychiatric disorders.
Dardo, Tomasi, Nora D, Volkow
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A Fast Vehicle Counting and Traffic Volume Estimation Method Based on Convolutional Neural Network
Vehicle counting and traffic volume estimation on traffic videos has gained extensive attention from multimedia and computer vision communities. Recent vehicle counting and volume estimation methods, including detection based and time-spatial image (TSI)
Henglong Yang +5 more
doaj +1 more source
Fast Counting Method of Soybean Seeds Based on Density Estimation and VGG-Two
In order to count soybean seeds quickly and accurately, improve the speed of seed test and the level of soybean breeding, a method of soybean seed counting based on VGG-Two (VGG-T) was developed in this research. Firstly, in view of the lack of available
WANG Ying +4 more
doaj +1 more source
Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks
The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene.
Zhu Liping +4 more
doaj +1 more source
Positive Maps Which Are Not Completely Positive [PDF]
The concept of the {\em half density matrix} is proposed. It unifies the quantum states which are described by density matrices and physical processes which are described by completely positive maps.
A. Peres +17 more
core +2 more sources
Data augmentation for galaxy density map reconstruction [PDF]
The matter density is an important knowledge for today cosmology as many phenomena are linked to matter fluctuations. However, this density is not directly available, but estimated through lensing maps or galaxy surveys.
Dupé, François-Xavier +2 more
core +6 more sources
Regular Maps of High Density [PDF]
A regular map is a surface together with an embedded graph, having properties similar to those of the surface and graph of a platonic solid. We analyze regular maps with reflection symmetry and a graph of density strictly exceeding 1/2, and we conclude that all regular maps of this type belong to a family of maps naturally defined on the Fermat curves ...
Eggermont, Rob H., Hendriks, Maximiliaan
openaire +3 more sources
Fidelity is a sub-martingale for discrete-time quantum filters [PDF]
Fidelity is known to increase through any Kraus map: the fidelity between two density matrices is less than the fidelity between their images via a Kraus map.
Rouchon, Pierre
core +3 more sources

